// Copyright (c) 2014 Sutoiku, Inc.
// The MIT License (MIT)

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	if(typeof exports === 'object' && typeof module === 'object')
		module.exports = factory();
	else if(typeof define === 'function' && define.amd)
		define([], factory);
	else if(typeof exports === 'object')
		exports["formulajs"] = factory();
	else
		root["formulajs"] = factory();
})(typeof self !== 'undefined' ? self : this, function() {
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/* 0 */
/***/ (function(module, exports) {

exports.nil = new Error('#NULL!');
exports.div0 = new Error('#DIV/0!');
exports.value = new Error('#VALUE!');
exports.ref = new Error('#REF!');
exports.name = new Error('#NAME?');
exports.num = new Error('#NUM!');
exports.na = new Error('#N/A');
exports.error = new Error('#ERROR!');
exports.data = new Error('#GETTING_DATA');


/***/ }),
/* 1 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);

exports.flattenShallow = function(array) {
  if (!array || !array.reduce) {
    return array;
  }

  return array.reduce(function(a, b) {
    var aIsArray = Array.isArray(a);
    var bIsArray = Array.isArray(b);

    if (aIsArray && bIsArray ) {
      return a.concat(b);
    }
    if (aIsArray) {
      a.push(b);

      return a;
    }
    if (bIsArray) {
      return [a].concat(b);
    }

    return [a, b];
  });
};

exports.isFlat = function(array) {
  if (!array) {
    return false;
  }

  for (var i = 0; i < array.length; ++i) {
    if (Array.isArray(array[i])) {
      return false;
    }
  }

  return true;
};

exports.flatten = function() {
  var result = exports.argsToArray.apply(null, arguments);

  while (!exports.isFlat(result)) {
    result = exports.flattenShallow(result);
  }

  return result;
};

exports.argsToArray = function(args) {
  var result = [];

  exports.arrayEach(args, function(value) {
    result.push(value);
  });

  return result;
};

exports.numbers = function() {
  var possibleNumbers = this.flatten.apply(null, arguments);
  return possibleNumbers.filter(function(el) {
    return typeof el === 'number';
  });
};

exports.cleanFloat = function(number) {
  var power = 1e14;
  return Math.round(number * power) / power;
};

exports.parseBool = function(bool) {
  if (typeof bool === 'boolean') {
    return bool;
  }

  if (bool instanceof Error) {
    return bool;
  }

  if (typeof bool === 'number') {
    return bool !== 0;
  }

  if (typeof bool === 'string') {
    var up = bool.toUpperCase();
    if (up === 'TRUE') {
      return true;
    }

    if (up === 'FALSE') {
      return false;
    }
  }

  if (bool instanceof Date && !isNaN(bool)) {
    return true;
  }

  return error.value;
};

exports.parseNumber = function(string) {
  if (string === undefined || string === '') {
    return error.value;
  }
  if (!isNaN(string)) {
    return parseFloat(string);
  }

  return error.value;
};

exports.parseNumberArray = function(arr) {
  var len;

  if (!arr || (len = arr.length) === 0) {
    return error.value;
  }

  var parsed;

  while (len--) {
    parsed = exports.parseNumber(arr[len]);
    if (parsed === error.value) {
      return parsed;
    }
    arr[len] = parsed;
  }

  return arr;
};

exports.parseMatrix = function(matrix) {
  var n;

  if (!matrix || (n = matrix.length) === 0) {
    return error.value;
  }
  var pnarr;

  for (var i = 0; i < matrix.length; i++) {
    pnarr = exports.parseNumberArray(matrix[i]);
    matrix[i] = pnarr;

    if (pnarr instanceof Error) {
      return pnarr;
    }
  }

  return matrix;
};

var d1900 = new Date(Date.UTC(1900, 0, 1));
exports.parseDate = function(date) {
  if (!isNaN(date)) {
    if (date instanceof Date) {
      return new Date(date);
    }
    var d = parseInt(date, 10);
    if (d < 0) {
      return error.num;
    }
    if (d <= 60) {
      return new Date(d1900.getTime() + (d - 1) * 86400000);
    }
    return new Date(d1900.getTime() + (d - 2) * 86400000);
  }
  if (typeof date === 'string') {
    date = new Date(date);
    if (!isNaN(date)) {
      return date;
    }
  }
  return error.value;
};

exports.parseDateArray = function(arr) {
  var len = arr.length;
  var parsed;
  while (len--) {
    parsed = this.parseDate(arr[len]);
    if (parsed === error.value) {
      return parsed;
    }
    arr[len] = parsed;
  }
  return arr;
};

exports.anyIsError = function() {
  var n = arguments.length;
  while (n--) {
    if (arguments[n] instanceof Error) {
      return true;
    }
  }
  return false;
};

exports.arrayValuesToNumbers = function(arr) {
  var n = arr.length;
  var el;
  while (n--) {
    el = arr[n];
    if (typeof el === 'number') {
      continue;
    }
    if (el === true) {
      arr[n] = 1;
      continue;
    }
    if (el === false) {
      arr[n] = 0;
      continue;
    }
    if (typeof el === 'string') {
      var number = this.parseNumber(el);
      if (number instanceof Error) {
        arr[n] = 0;
      } else {
        arr[n] = number;
      }
    }
  }
  return arr;
};

exports.rest = function(array, idx) {
  idx = idx || 1;
  if (!array || typeof array.slice !== 'function') {
    return array;
  }
  return array.slice(idx);
};

exports.initial = function(array, idx) {
  idx = idx || 1;
  if (!array || typeof array.slice !== 'function') {
    return array;
  }
  return array.slice(0, array.length - idx);
};

exports.arrayEach = function(array, iteratee) {
  var index = -1, length = array.length;

  while (++index < length) {
    if (iteratee(array[index], index, array) === false) {
      break;
    }
  }

  return array;
};

exports.transpose = function(matrix) {
  if(!matrix) {
    return error.value;
  }

  return matrix[0].map(function(col, i) {
    return matrix.map(function(row) {
      return row[i];
    });
  });
};


/***/ }),
/* 2 */
/***/ (function(module, exports, __webpack_require__) {

var utils = __webpack_require__(1);
var error = __webpack_require__(0);
var statistical = __webpack_require__(3);
var information = __webpack_require__(6);
var evalExpression = __webpack_require__(5);

exports.ABS = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.abs(number);

  return result;
};

exports.ACOS = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.acos(number);

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.ACOSH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.log(number + Math.sqrt(number * number - 1));

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.ACOT = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.atan(1 / number);

  return result;
};

exports.ACOTH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = 0.5 * Math.log((number + 1) / (number - 1));

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

//TODO: use options
exports.AGGREGATE = function(function_num, options, ref1, ref2) {
  function_num = utils.parseNumber(function_num);
  options = utils.parseNumber(function_num);
  if (utils.anyIsError(function_num, options)) {
    return error.value;
  }
  switch (function_num) {
    case 1:
      return statistical.AVERAGE(ref1);
    case 2:
      return statistical.COUNT(ref1);
    case 3:
      return statistical.COUNTA(ref1);
    case 4:
      return statistical.MAX(ref1);
    case 5:
      return statistical.MIN(ref1);
    case 6:
      return exports.PRODUCT(ref1);
    case 7:
      return statistical.STDEV.S(ref1);
    case 8:
      return statistical.STDEV.P(ref1);
    case 9:
      return exports.SUM(ref1);
    case 10:
      return statistical.VAR.S(ref1);
    case 11:
      return statistical.VAR.P(ref1);
    case 12:
      return statistical.MEDIAN(ref1);
    case 13:
      return statistical.MODE.SNGL(ref1);
    case 14:
      return statistical.LARGE(ref1, ref2);
    case 15:
      return statistical.SMALL(ref1, ref2);
    case 16:
      return statistical.PERCENTILE.INC(ref1, ref2);
    case 17:
      return statistical.QUARTILE.INC(ref1, ref2);
    case 18:
      return statistical.PERCENTILE.EXC(ref1, ref2);
    case 19:
      return statistical.QUARTILE.EXC(ref1, ref2);
  }
};

exports.ARABIC = function(text) {
  // Credits: Rafa? Kukawski
  if (!/^M*(?:D?C{0,3}|C[MD])(?:L?X{0,3}|X[CL])(?:V?I{0,3}|I[XV])$/.test(text)) {
    return error.value;
  }
  var r = 0;
  text.replace(/[MDLV]|C[MD]?|X[CL]?|I[XV]?/g, function(i) {
    r += {
      M: 1000,
      CM: 900,
      D: 500,
      CD: 400,
      C: 100,
      XC: 90,
      L: 50,
      XL: 40,
      X: 10,
      IX: 9,
      V: 5,
      IV: 4,
      I: 1
    }[i];
  });
  return r;
};

exports.ASIN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.asin(number);

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.ASINH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.log(number + Math.sqrt(number * number + 1));
};

exports.ATAN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.atan(number);
};

exports.ATAN2 = function(number_x, number_y) {
  number_x = utils.parseNumber(number_x);
  number_y = utils.parseNumber(number_y);
  if (utils.anyIsError(number_x, number_y)) {
    return error.value;
  }
  return Math.atan2(number_x, number_y);
};

exports.ATANH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var result = Math.log((1 + number) / (1 - number)) / 2;

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.BASE = function(number, radix, min_length) {
  min_length = min_length || 0;

  number = utils.parseNumber(number);
  radix = utils.parseNumber(radix);
  min_length = utils.parseNumber(min_length);
  if (utils.anyIsError(number, radix, min_length)) {
    return error.value;
  }
  min_length = (min_length === undefined) ? 0 : min_length;
  var result = number.toString(radix);
  return new Array(Math.max(min_length + 1 - result.length, 0)).join('0') + result;
};

exports.CEILING = function(number, significance, mode) {
  significance = (significance === undefined) ? 1 : Math.abs(significance);
  mode = mode || 0;

  number = utils.parseNumber(number);
  significance = utils.parseNumber(significance);
  mode = utils.parseNumber(mode);
  if (utils.anyIsError(number, significance, mode)) {
    return error.value;
  }
  if (significance === 0) {
    return 0;
  }
  var precision = -Math.floor(Math.log(significance) / Math.log(10));
  if (number >= 0) {
    return exports.ROUND(Math.ceil(number / significance) * significance, precision);
  } else {
    if (mode === 0) {
      return -exports.ROUND(Math.floor(Math.abs(number) / significance) * significance, precision);
    } else {
      return -exports.ROUND(Math.ceil(Math.abs(number) / significance) * significance, precision);
    }
  }
};

exports.CEILING.MATH = exports.CEILING;

exports.CEILING.PRECISE = exports.CEILING;

exports.COMBIN = function(number, number_chosen) {
  number = utils.parseNumber(number);
  number_chosen = utils.parseNumber(number_chosen);
  if (utils.anyIsError(number, number_chosen)) {
    return error.value;
  }
  return exports.FACT(number) / (exports.FACT(number_chosen) * exports.FACT(number - number_chosen));
};

exports.COMBINA = function(number, number_chosen) {
  number = utils.parseNumber(number);
  number_chosen = utils.parseNumber(number_chosen);
  if (utils.anyIsError(number, number_chosen)) {
    return error.value;
  }
  return (number === 0 && number_chosen === 0) ? 1 : exports.COMBIN(number + number_chosen - 1, number - 1);
};

exports.COS = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.cos(number);
};

exports.COSH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return (Math.exp(number) + Math.exp(-number)) / 2;
};

exports.COT = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return 1 / Math.tan(number);
};

exports.COTH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var e2 = Math.exp(2 * number);
  return (e2 + 1) / (e2 - 1);
};

exports.CSC = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return 1 / Math.sin(number);
};

exports.CSCH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return 2 / (Math.exp(number) - Math.exp(-number));
};

exports.DECIMAL = function(number, radix) {
  if (arguments.length < 1) {
    return error.value;
  }

  return parseInt(number, radix);
};

exports.DEGREES = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return number * 180 / Math.PI;
};

exports.EVEN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return exports.CEILING(number, -2, -1);
};

exports.EXP = function(number) {
  if (arguments.length < 1) {
    return error.na;
  }
  if (typeof number !== 'number' || arguments.length > 1) {
    return error.error;
  }

  number = Math.exp(number);

  return number;
};

var MEMOIZED_FACT = [];
exports.FACT = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var n = Math.floor(number);
  if (n === 0 || n === 1) {
    return 1;
  } else if (MEMOIZED_FACT[n] > 0) {
    return MEMOIZED_FACT[n];
  } else {
    MEMOIZED_FACT[n] = exports.FACT(n - 1) * n;
    return MEMOIZED_FACT[n];
  }
};

exports.FACTDOUBLE = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var n = Math.floor(number);
  if (n <= 0) {
    return 1;
  } else {
    return n * exports.FACTDOUBLE(n - 2);
  }
};

exports.FLOOR = function(number, significance) {
  number = utils.parseNumber(number);
  significance = utils.parseNumber(significance);
  if (utils.anyIsError(number, significance)) {
    return error.value;
  }
  if (significance === 0) {
    return 0;
  }

  if (!(number > 0 && significance > 0) && !(number < 0 && significance < 0)) {
    return error.num;
  }

  significance = Math.abs(significance);
  var precision = -Math.floor(Math.log(significance) / Math.log(10));
  if (number >= 0) {
    return exports.ROUND(Math.floor(number / significance) * significance, precision);
  } else {
    return -exports.ROUND(Math.ceil(Math.abs(number) / significance), precision);
  }
};

//TODO: Verify
exports.FLOOR.MATH = function(number, significance, mode) {
  significance = (significance === undefined) ? 1 : significance;
  mode = (mode === undefined) ? 0 : mode;

  number = utils.parseNumber(number);
  significance = utils.parseNumber(significance);
  mode = utils.parseNumber(mode);
  if (utils.anyIsError(number, significance, mode)) {
    return error.value;
  }
  if (significance === 0) {
    return 0;
  }

  significance = significance ? Math.abs(significance) : 1;
  var precision = -Math.floor(Math.log(significance) / Math.log(10));
  if (number >= 0) {
    return exports.ROUND(Math.floor(number / significance) * significance, precision);
  } else if (mode === 0 || mode === undefined) {
    return -exports.ROUND(Math.ceil(Math.abs(number) / significance) * significance, precision);
  }
  return -exports.ROUND(Math.floor(Math.abs(number) / significance) * significance, precision);
};

// Deprecated
exports.FLOOR.PRECISE = exports.FLOOR.MATH;

// adapted http://rosettacode.org/wiki/Greatest_common_divisor#JavaScript
exports.GCD = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var n = range.length;
  var r0 = range[0];
  var x = r0 < 0 ? -r0 : r0;
  for (var i = 1; i < n; i++) {
    var ri = range[i];
    var y = ri < 0 ? -ri : ri;
    while (x && y) {
      if (x > y) {
        x %= y;
      } else {
        y %= x;
      }
    }
    x += y;
  }
  return x;
};


exports.INT = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.floor(number);
};

//TODO: verify
exports.ISO = {
  CEILING: exports.CEILING
};

exports.LCM = function() {
  // Credits: Jonas Raoni Soares Silva
  var o = utils.parseNumberArray(utils.flatten(arguments));
  if (o instanceof Error) {
    return o;
  }
  for (var i, j, n, d, r = 1;
       (n = o.pop()) !== undefined;) {
    while (n > 1) {
      if (n % 2) {
        for (i = 3, j = Math.floor(Math.sqrt(n)); i <= j && n % i; i += 2) {
          //empty
        }
        d = (i <= j) ? i : n;
      } else {
        d = 2;
      }
      for (n /= d, r *= d, i = o.length; i;
           (o[--i] % d) === 0 && (o[i] /= d) === 1 && o.splice(i, 1)) {
        //empty
      }
    }
  }
  return r;
};

exports.LN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.log(number);
};

exports.LN10 = function() {
  return Math.log(10);
};

exports.LN2 = function() {
  return Math.log(2);
};

exports.LOG10E = function() {
  return Math.LOG10E;
};

exports.LOG2E = function() {
  return Math.LOG2E;
};

exports.LOG = function(number, base) {
  number = utils.parseNumber(number);
  base = (base === undefined) ? 10 : utils.parseNumber(base);
  if (utils.anyIsError(number, base)) {
    return error.value;
  }
  return Math.log(number) / Math.log(base);
};

exports.LOG10 = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.log(number) / Math.log(10);
};

exports.MOD = function(dividend, divisor) {
  dividend = utils.parseNumber(dividend);
  divisor = utils.parseNumber(divisor);
  if (utils.anyIsError(dividend, divisor)) {
    return error.value;
  }
  if (divisor === 0) {
    return error.div0;
  }
  var modulus = Math.abs(dividend % divisor);
  return (divisor > 0) ? modulus : -modulus;
};

exports.MROUND = function(number, multiple) {
  number = utils.parseNumber(number);
  multiple = utils.parseNumber(multiple);
  if (utils.anyIsError(number, multiple)) {
    return error.value;
  }
  if (number * multiple < 0) {
    return error.num;
  }

  return Math.round(number / multiple) * multiple;
};

exports.MULTINOMIAL = function() {
  var args = utils.parseNumberArray(utils.flatten(arguments));
  if (args instanceof Error) {
    return args;
  }
  var sum = 0;
  var divisor = 1;
  for (var i = 0; i < args.length; i++) {
    sum += args[i];
    divisor *= exports.FACT(args[i]);
  }
  return exports.FACT(sum) / divisor;
};

exports.ODD = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var temp = Math.ceil(Math.abs(number));
  temp = (temp & 1) ? temp : temp + 1;
  return (number > 0) ? temp : -temp;
};

exports.PI = function() {
  return Math.PI;
};

exports.E = function() {
  return Math.E;
};

exports.POWER = function(number, power) {
  number = utils.parseNumber(number);
  power = utils.parseNumber(power);
  if (utils.anyIsError(number, power)) {
    return error.value;
  }
  var result = Math.pow(number, power);
  if (isNaN(result)) {
    return error.num;
  }

  return result;
};

exports.PRODUCT = function() {
  var args = utils.parseNumberArray(utils.flatten(arguments));
  if (args instanceof Error) {
    return args;
  }
  var result = 1;
  for (var i = 0; i < args.length; i++) {
    result *= args[i];
  }
  return result;
};

exports.QUOTIENT = function(numerator, denominator) {
  numerator = utils.parseNumber(numerator);
  denominator = utils.parseNumber(denominator);
  if (utils.anyIsError(numerator, denominator)) {
    return error.value;
  }
  return parseInt(numerator / denominator, 10);
};

exports.RADIANS = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return number * Math.PI / 180;
};

exports.RAND = function() {
  return Math.random();
};

exports.RANDBETWEEN = function(bottom, top) {
  bottom = utils.parseNumber(bottom);
  top = utils.parseNumber(top);
  if (utils.anyIsError(bottom, top)) {
    return error.value;
  }
  // Creative Commons Attribution 3.0 License
  // Copyright (c) 2012 eqcode
  return bottom + Math.ceil((top - bottom + 1) * Math.random()) - 1;
};

// TODO
exports.ROMAN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  // The MIT License
  // Copyright (c) 2008 Steven Levithan
  var digits = String(number).split('');
  var key = ['', 'C', 'CC', 'CCC', 'CD', 'D', 'DC', 'DCC', 'DCCC', 'CM', '', 'X', 'XX', 'XXX', 'XL', 'L', 'LX', 'LXX', 'LXXX', 'XC', '', 'I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII', 'IX'];
  var roman = '';
  var i = 3;
  while (i--) {
    roman = (key[+digits.pop() + (i * 10)] || '') + roman;
  }
  return new Array(+digits.join('') + 1).join('M') + roman;
};

exports.ROUND = function(number, digits) {
  number = utils.parseNumber(number);
  digits = utils.parseNumber(digits);
  if (utils.anyIsError(number, digits)) {
    return error.value;
  }
  return Math.round(number * Math.pow(10, digits)) / Math.pow(10, digits);
};

exports.ROUNDDOWN = function(number, digits) {
  number = utils.parseNumber(number);
  digits = utils.parseNumber(digits);
  if (utils.anyIsError(number, digits)) {
    return error.value;
  }
  var sign = (number > 0) ? 1 : -1;
  return sign * (Math.floor(Math.abs(number) * Math.pow(10, digits))) / Math.pow(10, digits);
};

exports.ROUNDUP = function(number, digits) {
  number = utils.parseNumber(number);
  digits = utils.parseNumber(digits);
  if (utils.anyIsError(number, digits)) {
    return error.value;
  }
  var sign = (number > 0) ? 1 : -1;
  return sign * (Math.ceil(Math.abs(number) * Math.pow(10, digits))) / Math.pow(10, digits);
};

exports.SEC = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return 1 / Math.cos(number);
};

exports.SECH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return 2 / (Math.exp(number) + Math.exp(-number));
};

exports.SERIESSUM = function(x, n, m, coefficients) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  m = utils.parseNumber(m);
  coefficients = utils.parseNumberArray(coefficients);
  if (utils.anyIsError(x, n, m, coefficients)) {
    return error.value;
  }
  var result = coefficients[0] * Math.pow(x, n);
  for (var i = 1; i < coefficients.length; i++) {
    result += coefficients[i] * Math.pow(x, n + i * m);
  }
  return result;
};

exports.SIGN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  if (number < 0) {
    return -1;
  } else if (number === 0) {
    return 0;
  } else {
    return 1;
  }
};

exports.SIN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.sin(number);
};

exports.SINH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return (Math.exp(number) - Math.exp(-number)) / 2;
};

exports.SQRT = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  if (number < 0) {
    return error.num;
  }
  return Math.sqrt(number);
};

exports.SQRTPI = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.sqrt(number * Math.PI);
};

exports.SQRT1_2 = function() {
  return 1 / Math.sqrt(2);
};

exports.SQRT2 = function() {
  return Math.sqrt(2);
};

exports.SUBTOTAL = function(function_code, ref1) {
  function_code = utils.parseNumber(function_code);
  if (function_code instanceof Error) {
    return function_code;
  }
  switch (function_code) {
    case 1:
      return statistical.AVERAGE(ref1);
    case 2:
      return statistical.COUNT(ref1);
    case 3:
      return statistical.COUNTA(ref1);
    case 4:
      return statistical.MAX(ref1);
    case 5:
      return statistical.MIN(ref1);
    case 6:
      return exports.PRODUCT(ref1);
    case 7:
      return statistical.STDEV.S(ref1);
    case 8:
      return statistical.STDEV.P(ref1);
    case 9:
      return exports.SUM(ref1);
    case 10:
      return statistical.VAR.S(ref1);
    case 11:
      return statistical.VAR.P(ref1);
    // no hidden values for us
    case 101:
      return statistical.AVERAGE(ref1);
    case 102:
      return statistical.COUNT(ref1);
    case 103:
      return statistical.COUNTA(ref1);
    case 104:
      return statistical.MAX(ref1);
    case 105:
      return statistical.MIN(ref1);
    case 106:
      return exports.PRODUCT(ref1);
    case 107:
      return statistical.STDEV.S(ref1);
    case 108:
      return statistical.STDEV.P(ref1);
    case 109:
      return exports.SUM(ref1);
    case 110:
      return statistical.VAR.S(ref1);
    case 111:
      return statistical.VAR.P(ref1);

  }
};

exports.ADD = function (num1, num2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  num1 = utils.parseNumber(num1);
  num2 = utils.parseNumber(num2);
  if (utils.anyIsError(num1, num2)) {
    return error.value;
  }

  return num1 + num2;
};

exports.MINUS = function (num1, num2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  num1 = utils.parseNumber(num1);
  num2 = utils.parseNumber(num2);
  if (utils.anyIsError(num1, num2)) {
    return error.value;
  }

  return num1 - num2;
};

exports.DIVIDE = function (dividend, divisor) {
  if (arguments.length !== 2) {
    return error.na;
  }

  dividend = utils.parseNumber(dividend);
  divisor = utils.parseNumber(divisor);
  if (utils.anyIsError(dividend, divisor)) {
    return error.value;
  }

  if (divisor === 0) {
    return error.div0;
  }

  return dividend / divisor;
};

exports.MULTIPLY = function (factor1, factor2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  factor1 = utils.parseNumber(factor1);
  factor2 = utils.parseNumber(factor2);
  if (utils.anyIsError(factor1, factor2)) {
    return error.value;
  }

  return factor1 * factor2;
};

exports.GTE = function (num1, num2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  num1 = utils.parseNumber(num1);
  num2 = utils.parseNumber(num2);
  if (utils.anyIsError(num1, num2)) {
    return error.error;
  }

  return num1 >= num2;
};

exports.LT = function (num1, num2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  num1 = utils.parseNumber(num1);
  num2 = utils.parseNumber(num2);
  if (utils.anyIsError(num1, num2)) {
    return error.error;
  }

  return num1 < num2;
};


exports.LTE = function (num1, num2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  num1 = utils.parseNumber(num1);
  num2 = utils.parseNumber(num2);
  if (utils.anyIsError(num1, num2)) {
    return error.error;
  }

  return num1 <= num2;
};

exports.EQ = function (value1, value2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  return value1 === value2;
};

exports.NE = function (value1, value2) {
  if (arguments.length !== 2) {
    return error.na;
  }

  return value1 !== value2;
};

exports.POW = function (base, exponent) {
  if (arguments.length !== 2) {
    return error.na;
  }

  base = utils.parseNumber(base);
  exponent = utils.parseNumber(exponent);
  if (utils.anyIsError(base, exponent)) {
    return error.error;
  }

  return exports.POWER(base, exponent);
};

exports.SUM = function() {
  var result = 0;

  utils.arrayEach(utils.argsToArray(arguments), function(value) {
    if (typeof value === 'number') {
      result += value;

    } else if (typeof value === 'string') {
      var parsed = parseFloat(value);

      !isNaN(parsed) && (result += parsed);

    } else if (Array.isArray(value)) {
      result += exports.SUM.apply(null, value);
    }
  });

  return result;
};

exports.SUMIF = function(range, criteria) {
  range = utils.parseNumberArray(utils.flatten(range));

  if (range instanceof Error) {
    return range;
  }
  var result = 0;
  var isWildcard = criteria === void 0 || criteria === '*';
  var tokenizedCriteria = isWildcard ? null : evalExpression.parse(criteria + '');

  for (var i = 0; i < range.length; i++) {
    var value = range[i];

    if (isWildcard) {
      result += value;
    } else {
      var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

      result += (evalExpression.compute(tokens) ? value : 0);
    }
  }

  return result;
};

exports.SUMIFS = function() {
  var args = utils.argsToArray(arguments);
  var range = utils.parseNumberArray(utils.flatten(args.shift()));

  if (range instanceof Error) {
    return range;
  }
  var criterias = args;
  var n_range_elements = range.length;
  var criteriaLength = criterias.length;
  var result = 0;

  for (var i = 0; i < n_range_elements; i++) {
    var value = range[i];
    var isMeetCondition = false;

    for (var j = 0; j < criteriaLength; j++) {
      var criteria = criterias[j];
      var isWildcard = criteria === void 0 || criteria === '*';
      var computedResult = false;

      if (isWildcard) {
        computedResult = true;
      } else {
        var tokenizedCriteria = evalExpression.parse(criteria + '');
        var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

        computedResult = evalExpression.compute(tokens);
      }

      // Criterias are calculated as AND so any `false` breakes the loop as unmeet condition
      if (!computedResult) {
        isMeetCondition = false;
        break;
      }

      isMeetCondition = true;
    }

    if (isMeetCondition) {
      result += value;
    }
  }

  return result;
};

exports.SUMPRODUCT = function() {
  if (!arguments || arguments.length === 0) {
    return error.value;
  }
  var arrays = arguments.length + 1;
  var result = 0;
  var product;
  var k;
  var _i;
  var _ij;
  for (var i = 0; i < arguments[0].length; i++) {
    if (!(arguments[0][i] instanceof Array)) {
      product = 1;
      for (k = 1; k < arrays; k++) {
        _i = utils.parseNumber(arguments[k - 1][i]);
        if (_i instanceof Error) {
          return _i;
        }
        product *= _i;
      }
      result += product;
    } else {
      for (var j = 0; j < arguments[0][i].length; j++) {
        product = 1;
        for (k = 1; k < arrays; k++) {
          _ij = utils.parseNumber(arguments[k - 1][i][j]);
          if (_ij instanceof Error) {
            return _ij;
          }
          product *= _ij;
        }
        result += product;
      }
    }
  }
  return result;
};

exports.SUMSQ = function() {
  var numbers = utils.parseNumberArray(utils.flatten(arguments));
  if (numbers instanceof Error) {
    return numbers;
  }
  var result = 0;
  var length = numbers.length;
  for (var i = 0; i < length; i++) {
    result += (information.ISNUMBER(numbers[i])) ? numbers[i] * numbers[i] : 0;
  }
  return result;
};

exports.SUMX2MY2 = function(array_x, array_y) {
  array_x = utils.parseNumberArray(utils.flatten(array_x));
  array_y = utils.parseNumberArray(utils.flatten(array_y));
  if (utils.anyIsError(array_x, array_y)) {
    return error.value;
  }
  var result = 0;
  for (var i = 0; i < array_x.length; i++) {
    result += array_x[i] * array_x[i] - array_y[i] * array_y[i];
  }
  return result;
};

exports.SUMX2PY2 = function(array_x, array_y) {
  array_x = utils.parseNumberArray(utils.flatten(array_x));
  array_y = utils.parseNumberArray(utils.flatten(array_y));
  if (utils.anyIsError(array_x, array_y)) {
    return error.value;
  }
  var result = 0;
  array_x = utils.parseNumberArray(utils.flatten(array_x));
  array_y = utils.parseNumberArray(utils.flatten(array_y));
  for (var i = 0; i < array_x.length; i++) {
    result += array_x[i] * array_x[i] + array_y[i] * array_y[i];
  }
  return result;
};

exports.SUMXMY2 = function(array_x, array_y) {
  array_x = utils.parseNumberArray(utils.flatten(array_x));
  array_y = utils.parseNumberArray(utils.flatten(array_y));
  if (utils.anyIsError(array_x, array_y)) {
    return error.value;
  }
  var result = 0;
  array_x = utils.flatten(array_x);
  array_y = utils.flatten(array_y);
  for (var i = 0; i < array_x.length; i++) {
    result += Math.pow(array_x[i] - array_y[i], 2);
  }
  return result;
};

exports.TAN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return Math.tan(number);
};

exports.TANH = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  var e2 = Math.exp(2 * number);
  return (e2 - 1) / (e2 + 1);
};

exports.TRUNC = function(number, digits) {
  digits = (digits === undefined) ? 0 : digits;
  number = utils.parseNumber(number);
  digits = utils.parseNumber(digits);
  if (utils.anyIsError(number, digits)) {
    return error.value;
  }
  var sign = (number > 0) ? 1 : -1;
  return sign * (Math.floor(Math.abs(number) * Math.pow(10, digits))) / Math.pow(10, digits);
};


/***/ }),
/* 3 */
/***/ (function(module, exports, __webpack_require__) {

var mathTrig = __webpack_require__(2);
var text = __webpack_require__(4);
var jStat = __webpack_require__(8);
var utils = __webpack_require__(1);
var evalExpression = __webpack_require__(5);
var error = __webpack_require__(0);
var misc = __webpack_require__(9);

var SQRT2PI = 2.5066282746310002;

exports.AVEDEV = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  return jStat.sum(jStat(range).subtract(jStat.mean(range)).abs()[0]) / range.length;
};

exports.AVERAGE = function() {
  var range = utils.numbers(utils.flatten(arguments));
  var n = range.length;
  var sum = 0;
  var count = 0;
  var result;

  for (var i = 0; i < n; i++) {
    sum += range[i];
    count += 1;
  }
  result = sum / count;

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.AVERAGEA = function() {
  var range = utils.flatten(arguments);
  var n = range.length;
  var sum = 0;
  var count = 0;
  var result;
  for (var i = 0; i < n; i++) {
    var el = range[i];
    if (typeof el === 'number') {
      sum += el;
    }
    if (el === true) {
      sum++;
    }
    if (el !== null) {
      count++;
    }
  }
  result = sum / count;

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.AVERAGEIF = function(range, criteria, average_range) {
  if (arguments.length <= 1) {
    return error.na;
  }
  average_range = average_range || range;
  range = utils.flatten(range);
  average_range = utils.parseNumberArray(utils.flatten(average_range));

  if (average_range instanceof Error) {
    return average_range;
  }
  var average_count = 0;
  var result = 0;
  var isWildcard = criteria === void 0 || criteria === '*';
  var tokenizedCriteria = isWildcard ? null : evalExpression.parse(criteria + '');

  for (var i = 0; i < range.length; i++) {
    var value = range[i];

    if (isWildcard) {
      result += average_range[i];
      average_count++;
    } else {
      var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

      if (evalExpression.compute(tokens)) {
        result += average_range[i];
        average_count++;
      }
    }
  }

  return result / average_count;
};

exports.AVERAGEIFS = function() {
  // Does not work with multi dimensional ranges yet!
  //http://office.microsoft.com/en-001/excel-help/averageifs-function-HA010047493.aspx
  var args = utils.argsToArray(arguments);
  var criteriaLength = (args.length - 1) / 2;
  var range = utils.flatten(args[0]);
  var count = 0;
  var result = 0;

  for (var i = 0; i < range.length; i++) {
    var isMeetCondition = false;

    for (var j = 0; j < criteriaLength; j++) {
      var value = args[2 * j + 1][i];
      var criteria = args[2 * j + 2];
      var isWildcard = criteria === void 0 || criteria === '*';
      var computedResult = false;

      if (isWildcard) {
        computedResult = true;
      } else {
        var tokenizedCriteria = evalExpression.parse(criteria + '');
        var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

        computedResult = evalExpression.compute(tokens);
      }

      // Criterias are calculated as AND so any `false` breakes the loop as unmeet condition
      if (!computedResult) {
        isMeetCondition = false;
        break;
      }

      isMeetCondition = true;
    }

    if (isMeetCondition) {
      result += range[i];
      count++;
    }
  }

  var average = result / count;

  if (isNaN(average)) {
    return 0;
  } else {
    return average;
  }
};

exports.BETA = {};

exports.BETA.DIST = function(x, alpha, beta, cumulative, A, B) {
  if (arguments.length < 4) {
    return error.value;
  }

  A = (A === undefined) ? 0 : A;
  B = (B === undefined) ? 1 : B;

  x = utils.parseNumber(x);
  alpha = utils.parseNumber(alpha);
  beta = utils.parseNumber(beta);
  A = utils.parseNumber(A);
  B = utils.parseNumber(B);
  if (utils.anyIsError(x, alpha, beta, A, B)) {
    return error.value;
  }

  x = (x - A) / (B - A);
  return (cumulative) ? jStat.beta.cdf(x, alpha, beta) : jStat.beta.pdf(x, alpha, beta);
};

exports.BETA.INV = function(probability, alpha, beta, A, B) {
  A = (A === undefined) ? 0 : A;
  B = (B === undefined) ? 1 : B;

  probability = utils.parseNumber(probability);
  alpha = utils.parseNumber(alpha);
  beta = utils.parseNumber(beta);
  A = utils.parseNumber(A);
  B = utils.parseNumber(B);
  if (utils.anyIsError(probability, alpha, beta, A, B)) {
    return error.value;
  }

  return jStat.beta.inv(probability, alpha, beta) * (B - A) + A;
};

exports.BINOM = {};

exports.BINOM.DIST = function(successes, trials, probability, cumulative) {
  successes = utils.parseNumber(successes);
  trials = utils.parseNumber(trials);
  probability = utils.parseNumber(probability);
  cumulative = utils.parseNumber(cumulative);
  if (utils.anyIsError(successes, trials, probability, cumulative)) {
    return error.value;
  }
  return (cumulative) ? jStat.binomial.cdf(successes, trials, probability) : jStat.binomial.pdf(successes, trials, probability);
};

exports.BINOM.DIST.RANGE = function(trials, probability, successes, successes2) {
  successes2 = (successes2 === undefined) ? successes : successes2;

  trials = utils.parseNumber(trials);
  probability = utils.parseNumber(probability);
  successes = utils.parseNumber(successes);
  successes2 = utils.parseNumber(successes2);
  if (utils.anyIsError(trials, probability, successes, successes2)) {
    return error.value;
  }

  var result = 0;
  for (var i = successes; i <= successes2; i++) {
    result += mathTrig.COMBIN(trials, i) * Math.pow(probability, i) * Math.pow(1 - probability, trials - i);
  }
  return result;
};

exports.BINOM.INV = function(trials, probability, alpha) {
  trials = utils.parseNumber(trials);
  probability = utils.parseNumber(probability);
  alpha = utils.parseNumber(alpha);
  if (utils.anyIsError(trials, probability, alpha)) {
    return error.value;
  }

  var x = 0;
  while (x <= trials) {
    if (jStat.binomial.cdf(x, trials, probability) >= alpha) {
      return x;
    }
    x++;
  }
};

exports.CHISQ = {};

exports.CHISQ.DIST = function(x, k, cumulative) {
  x = utils.parseNumber(x);
  k = utils.parseNumber(k);
  if (utils.anyIsError(x, k)) {
    return error.value;
  }

  return (cumulative) ? jStat.chisquare.cdf(x, k) : jStat.chisquare.pdf(x, k);
};

exports.CHISQ.DIST.RT = function(x, k) {
  if (!x | !k) {
    return error.na;
  }

  if (x < 1 || k > Math.pow(10, 10)) {
    return error.num;
  }

  if ((typeof x !== 'number') || (typeof k !== 'number')) {
    return error.value;
  }

  return 1 -  jStat.chisquare.cdf(x, k);
};

exports.CHISQ.INV = function(probability, k) {
  probability = utils.parseNumber(probability);
  k = utils.parseNumber(k);
  if (utils.anyIsError(probability, k)) {
    return error.value;
  }
  return jStat.chisquare.inv(probability, k);
};

exports.CHISQ.INV.RT = function(p, k) {
  if (!p | !k) {
    return error.na;
  }

  if (p < 0 || p > 1 || k < 1 || k > Math.pow(10, 10)) {
    return error.num;
  }

  if ((typeof p !== 'number') || (typeof k !== 'number')) {
    return error.value;
  }

  return jStat.chisquare.inv(1.0 - p, k);
};

exports.CHISQ.TEST = function(observed, expected) {
  if (arguments.length !== 2) {
    return error.na;
  }

  if ((!(observed instanceof Array)) || (!(expected instanceof Array))) {
    return error.value;
  }

  if (observed.length !== expected.length) {
    return error.value;
  }

  if (observed[0] && expected[0] &&
    observed[0].length !== expected[0].length) {
    return error.value;
  }

  var row = observed.length;
  var tmp, i, j;

  // Convert single-dimension array into two-dimension array
  for (i = 0; i < row; i ++) {
    if (!(observed[i] instanceof Array)) {
      tmp = observed[i];
      observed[i] = [];
      observed[i].push(tmp);
    }
    if (!(expected[i] instanceof Array)) {
      tmp = expected[i];
      expected[i] = [];
      expected[i].push(tmp);
    }
  }

  var col = observed[0].length;
  var dof = (col === 1) ? row-1 : (row-1)*(col-1);
  var xsqr = 0;
  var Pi =Math.PI;

  for (i = 0; i < row; i ++) {
    for (j = 0; j < col; j ++) {
      xsqr += Math.pow((observed[i][j] - expected[i][j]), 2) / expected[i][j];
    }
  }

  // Get independency by X square and its degree of freedom
  function ChiSq(xsqr, dof) {
    var p = Math.exp(-0.5 * xsqr);
    if((dof%2) === 1) {
      p = p * Math.sqrt(2 * xsqr/Pi);
    }
    var k = dof;
    while(k >= 2) {
      p = p * xsqr/k;
      k = k - 2;
    }
    var t = p;
    var a = dof;
    while (t > 0.0000000001*p) {
      a = a + 2;
      t = t * xsqr/a;
      p = p + t;
    }
    return 1-p;
  }

  return Math.round(ChiSq(xsqr, dof) * 1000000) / 1000000;
};

exports.COLUMN = function(matrix, index) {
  if (arguments.length !== 2) {
    return error.na;
  }

  if (index < 0) {
    return error.num;
  }

  if (!(matrix instanceof Array) || (typeof index !== 'number')) {
    return error.value;
  }

  if (matrix.length === 0) {
    return undefined;
  }

  return jStat.col(matrix, index);
};

exports.COLUMNS = function(matrix) {
  if (arguments.length !== 1) {
    return error.na;
  }

  if (!(matrix instanceof Array)) {
    return error.value;
  }

  if (matrix.length === 0) {
    return 0;
  }

  return jStat.cols(matrix);
};

exports.CONFIDENCE = {};

exports.CONFIDENCE.NORM = function(alpha, sd, n) {
  alpha = utils.parseNumber(alpha);
  sd = utils.parseNumber(sd);
  n = utils.parseNumber(n);
  if (utils.anyIsError(alpha, sd, n)) {
    return error.value;
  }
  return jStat.normalci(1, alpha, sd, n)[1] - 1;
};

exports.CONFIDENCE.T = function(alpha, sd, n) {
  alpha = utils.parseNumber(alpha);
  sd = utils.parseNumber(sd);
  n = utils.parseNumber(n);
  if (utils.anyIsError(alpha, sd, n)) {
    return error.value;
  }
  return jStat.tci(1, alpha, sd, n)[1] - 1;
};

exports.CORREL = function(array1, array2) {
  array1 = utils.parseNumberArray(utils.flatten(array1));
  array2 = utils.parseNumberArray(utils.flatten(array2));
  if (utils.anyIsError(array1, array2)) {
    return error.value;
  }
  return jStat.corrcoeff(array1, array2);
};

exports.COUNT = function() {
  return utils.numbers(utils.flatten(arguments)).length;
};

exports.COUNTA = function() {
  var range = utils.flatten(arguments);
  return range.length - exports.COUNTBLANK(range);
};

exports.COUNTIN = function (range, value) {
  var result = 0;

  range = utils.flatten(range);

  for (var i = 0; i < range.length; i++) {
    if (range[i] === value) {
      result++;
    }
  }
  return result;
};


exports.COUNTBLANK = function() {
  var range = utils.flatten(arguments);
  var blanks = 0;
  var element;
  for (var i = 0; i < range.length; i++) {
    element = range[i];
    if (element === null || element === '') {
      blanks++;
    }
  }
  return blanks;
};

exports.COUNTIF = function(range, criteria) {
  range = utils.flatten(range);

  var isWildcard = criteria === void 0 || criteria === '*';

  if (isWildcard) {
    return range.length;
  }

  var matches = 0;
  var tokenizedCriteria = evalExpression.parse(criteria + '');

  for (var i = 0; i < range.length; i++) {
    var value = range[i];
    var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

    if (evalExpression.compute(tokens)) {
      matches++;
    }
  }

  return matches;
};

exports.COUNTIFS = function() {
  var args = utils.argsToArray(arguments);
  var results = new Array(utils.flatten(args[0]).length);

  for (var i = 0; i < results.length; i++) {
    results[i] = true;
  }
  for (i = 0; i < args.length; i += 2) {
    var range = utils.flatten(args[i]);
    var criteria = args[i + 1];
    var isWildcard = criteria === void 0 || criteria === '*';

    if (!isWildcard) {
      var tokenizedCriteria = evalExpression.parse(criteria + '');

      for (var j = 0; j < range.length; j++) {
        var value = range[j];
        var tokens = [evalExpression.createToken(value, evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

        results[j] = results[j] && evalExpression.compute(tokens);
      }
    }
  }
  var result = 0;
  for (i = 0; i < results.length; i++) {
    if (results[i]) {
      result++;
    }
  }

  return result;
};

exports.COUNTUNIQUE = function () {
  return misc.UNIQUE.apply(null, utils.flatten(arguments)).length;
};

exports.COVARIANCE = {};

exports.COVARIANCE.P = function(array1, array2) {
  array1 = utils.parseNumberArray(utils.flatten(array1));
  array2 = utils.parseNumberArray(utils.flatten(array2));
  if (utils.anyIsError(array1, array2)) {
    return error.value;
  }
  var mean1 = jStat.mean(array1);
  var mean2 = jStat.mean(array2);
  var result = 0;
  var n = array1.length;
  for (var i = 0; i < n; i++) {
    result += (array1[i] - mean1) * (array2[i] - mean2);
  }
  return result / n;
};

exports.COVARIANCE.S = function(array1, array2) {
  array1 = utils.parseNumberArray(utils.flatten(array1));
  array2 = utils.parseNumberArray(utils.flatten(array2));
  if (utils.anyIsError(array1, array2)) {
    return error.value;
  }
  return jStat.covariance(array1, array2);
};

exports.DEVSQ = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var mean = jStat.mean(range);
  var result = 0;
  for (var i = 0; i < range.length; i++) {
    result += Math.pow((range[i] - mean), 2);
  }
  return result;
};

exports.EXPON = {};

exports.EXPON.DIST = function(x, lambda, cumulative) {
  x = utils.parseNumber(x);
  lambda = utils.parseNumber(lambda);
  if (utils.anyIsError(x, lambda)) {
    return error.value;
  }
  return (cumulative) ? jStat.exponential.cdf(x, lambda) : jStat.exponential.pdf(x, lambda);
};

exports.F = {};

exports.F.DIST = function(x, d1, d2, cumulative) {
  x = utils.parseNumber(x);
  d1 = utils.parseNumber(d1);
  d2 = utils.parseNumber(d2);
  if (utils.anyIsError(x, d1, d2)) {
    return error.value;
  }
  return (cumulative) ? jStat.centralF.cdf(x, d1, d2) : jStat.centralF.pdf(x, d1, d2);
};

exports.F.DIST.RT = function(x, d1, d2) {
  if (arguments.length !== 3) {
    return error.na;
  }

  if (x < 0 || d1 < 1 || d2 < 1) {
    return error.num;
  }

  if ((typeof x !== 'number') || (typeof d1 !== 'number') || (typeof d2 !== 'number')) {
    return error.value;
  }

  return 1 - jStat.centralF.cdf(x, d1, d2);
};

exports.F.INV = function(probability, d1, d2) {
  probability = utils.parseNumber(probability);
  d1 = utils.parseNumber(d1);
  d2 = utils.parseNumber(d2);
  if (utils.anyIsError(probability, d1, d2)) {
    return error.value;
  }
  if (probability <= 0.0 || probability > 1.0) {
    return error.num;
  }

  return jStat.centralF.inv(probability, d1, d2);
};

exports.F.INV.RT = function(p, d1, d2) {
  if (arguments.length !== 3) {
    return error.na;
  }

  if (p < 0 || p > 1 || d1 < 1 || d1 > Math.pow(10, 10) || d2 < 1 || d2 > Math.pow(10, 10)) {
    return error.num;
  }

  if ((typeof p !== 'number') || (typeof d1 !== 'number') || (typeof d2 !== 'number')) {
    return error.value;
  }

  return jStat.centralF.inv(1.0 - p, d1, d2);
};

exports.F.TEST = function(array1, array2) {
  if (!array1 || !array2) {
    return error.na;
  }

  if (!(array1 instanceof Array) || !(array2 instanceof Array)) {
    return error.na;
  }

  if (array1.length < 2 || array2.length < 2) {
    return error.div0;
  }

  var sumOfSquares = function(values, x1) {
    var sum = 0;
    for (var i = 0; i < values.length; i++) {
      sum +=Math.pow((values[i] - x1), 2);
    }
    return sum;
  };

  var x1 = mathTrig.SUM(array1) / array1.length;
  var x2 = mathTrig.SUM(array2) / array2.length;
  var sum1 = sumOfSquares(array1, x1) / (array1.length - 1);
  var sum2 = sumOfSquares(array2, x2) / (array2.length - 1);

  return sum1 / sum2;
};

exports.FISHER = function(x) {
  x = utils.parseNumber(x);
  if (x instanceof Error) {
    return x;
  }
  return Math.log((1 + x) / (1 - x)) / 2;
};

exports.FISHERINV = function(y) {
  y = utils.parseNumber(y);
  if (y instanceof Error) {
    return y;
  }
  var e2y = Math.exp(2 * y);
  return (e2y - 1) / (e2y + 1);
};

exports.FORECAST = function(x, data_y, data_x) {
  x = utils.parseNumber(x);
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(x, data_y, data_x)) {
    return error.value;
  }
  var xmean = jStat.mean(data_x);
  var ymean = jStat.mean(data_y);
  var n = data_x.length;
  var num = 0;
  var den = 0;
  for (var i = 0; i < n; i++) {
    num += (data_x[i] - xmean) * (data_y[i] - ymean);
    den += Math.pow(data_x[i] - xmean, 2);
  }
  var b = num / den;
  var a = ymean - b * xmean;
  return a + b * x;
};

exports.FREQUENCY = function(data, bins) {
  data = utils.parseNumberArray(utils.flatten(data));
  bins = utils.parseNumberArray(utils.flatten(bins));
  if (utils.anyIsError(data, bins)) {
    return error.value;
  }
  var n = data.length;
  var b = bins.length;
  var r = [];
  for (var i = 0; i <= b; i++) {
    r[i] = 0;
    for (var j = 0; j < n; j++) {
      if (i === 0) {
        if (data[j] <= bins[0]) {
          r[0] += 1;
        }
      } else if (i < b) {
        if (data[j] > bins[i - 1] && data[j] <= bins[i]) {
          r[i] += 1;
        }
      } else if (i === b) {
        if (data[j] > bins[b - 1]) {
          r[b] += 1;
        }
      }
    }
  }
  return r;
};


exports.GAMMA = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }

  if (number === 0) {
    return error.num;
  }

  if (parseInt(number, 10) === number && number < 0) {
    return error.num;
  }

  return jStat.gammafn(number);
};

exports.GAMMA.DIST = function(value, alpha, beta, cumulative) {
  if (arguments.length !== 4) {
    return error.na;
  }

  if (value < 0 || alpha <= 0 || beta <= 0) {
    return error.value;
  }

  if ((typeof value !== 'number') || (typeof alpha !== 'number') || (typeof beta !== 'number')) {
    return error.value;
  }

  return cumulative ? jStat.gamma.cdf(value, alpha, beta, true) : jStat.gamma.pdf(value, alpha, beta, false);
};

exports.GAMMA.INV = function(probability, alpha, beta) {
  if (arguments.length !== 3) {
    return error.na;
  }

  if (probability < 0 || probability > 1 || alpha <= 0 || beta <= 0) {
    return error.num;
  }

  if ((typeof probability !== 'number') || (typeof alpha !== 'number') || (typeof beta !== 'number')) {
    return error.value;
  }

  return jStat.gamma.inv(probability, alpha, beta);
};

exports.GAMMALN = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return jStat.gammaln(number);
};

exports.GAMMALN.PRECISE = function(x) {
  if (arguments.length !== 1) {
    return error.na;
  }

  if (x <= 0) {
    return error.num;
  }

  if (typeof x !== 'number') {
    return error.value;
  }

  return jStat.gammaln(x);
};

exports.GAUSS = function(z) {
  z = utils.parseNumber(z);
  if (z instanceof Error) {
    return z;
  }
  return jStat.normal.cdf(z, 0, 1) - 0.5;
};

exports.GEOMEAN = function() {
  var args = utils.parseNumberArray(utils.flatten(arguments));
  if (args instanceof Error) {
    return args;
  }
  return jStat.geomean(args);
};

exports.GROWTH = function(known_y, known_x, new_x, use_const) {
  // Credits: Ilmari Karonen (http://stackoverflow.com/questions/14161990/how-to-implement-growth-function-in-javascript)

  known_y = utils.parseNumberArray(known_y);
  if (known_y instanceof Error) {
    return known_y;
  }

  // Default values for optional parameters:
  var i;
  if (known_x === undefined) {
    known_x = [];
    for (i = 1; i <= known_y.length; i++) {
      known_x.push(i);
    }
  }
  if (new_x === undefined) {
    new_x = [];
    for (i = 1; i <= known_y.length; i++) {
      new_x.push(i);
    }
  }

  known_x = utils.parseNumberArray(known_x);
  new_x = utils.parseNumberArray(new_x);
  if (utils.anyIsError(known_x, new_x)) {
    return error.value;
  }


  if (use_const === undefined) {
    use_const = true;
  }

  // Calculate sums over the data:
  var n = known_y.length;
  var avg_x = 0;
  var avg_y = 0;
  var avg_xy = 0;
  var avg_xx = 0;
  for (i = 0; i < n; i++) {
    var x = known_x[i];
    var y = Math.log(known_y[i]);
    avg_x += x;
    avg_y += y;
    avg_xy += x * y;
    avg_xx += x * x;
  }
  avg_x /= n;
  avg_y /= n;
  avg_xy /= n;
  avg_xx /= n;

  // Compute linear regression coefficients:
  var beta;
  var alpha;
  if (use_const) {
    beta = (avg_xy - avg_x * avg_y) / (avg_xx - avg_x * avg_x);
    alpha = avg_y - beta * avg_x;
  } else {
    beta = avg_xy / avg_xx;
    alpha = 0;
  }

  // Compute and return result array:
  var new_y = [];
  for (i = 0; i < new_x.length; i++) {
    new_y.push(Math.exp(alpha + beta * new_x[i]));
  }
  return new_y;
};

exports.HARMEAN = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var n = range.length;
  var den = 0;
  for (var i = 0; i < n; i++) {
    den += 1 / range[i];
  }
  return n / den;
};

exports.HYPGEOM = {};

exports.HYPGEOM.DIST = function(x, n, M, N, cumulative) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  M = utils.parseNumber(M);
  N = utils.parseNumber(N);
  if (utils.anyIsError(x, n, M, N)) {
    return error.value;
  }

  function pdf(x, n, M, N) {
    return mathTrig.COMBIN(M, x) * mathTrig.COMBIN(N - M, n - x) / mathTrig.COMBIN(N, n);
  }

  function cdf(x, n, M, N) {
    var result = 0;
    for (var i = 0; i <= x; i++) {
      result += pdf(i, n, M, N);
    }
    return result;
  }

  return (cumulative) ? cdf(x, n, M, N) : pdf(x, n, M, N);
};

exports.INTERCEPT = function(known_y, known_x) {
  known_y = utils.parseNumberArray(known_y);
  known_x = utils.parseNumberArray(known_x);
  if (utils.anyIsError(known_y, known_x)) {
    return error.value;
  }
  if (known_y.length !== known_x.length) {
    return error.na;
  }
  return exports.FORECAST(0, known_y, known_x);
};

exports.KURT = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var mean = jStat.mean(range);
  var n = range.length;
  var sigma = 0;
  for (var i = 0; i < n; i++) {
    sigma += Math.pow(range[i] - mean, 4);
  }
  sigma = sigma / Math.pow(jStat.stdev(range, true), 4);
  return ((n * (n + 1)) / ((n - 1) * (n - 2) * (n - 3))) * sigma - 3 * (n - 1) * (n - 1) / ((n - 2) * (n - 3));
};

exports.LARGE = function(range, k) {
  range = utils.parseNumberArray(utils.flatten(range));
  k = utils.parseNumber(k);
  if (utils.anyIsError(range, k)) {
    return range;
  }
  return range.sort(function(a, b) {
    return b - a;
  })[k - 1];
};

exports.LINEST = function(data_y, data_x) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(data_y, data_x)) {
    return error.value;
  }
  var ymean = jStat.mean(data_y);
  var xmean = jStat.mean(data_x);
  var n = data_x.length;
  var num = 0;
  var den = 0;
  for (var i = 0; i < n; i++) {
    num += (data_x[i] - xmean) * (data_y[i] - ymean);
    den += Math.pow(data_x[i] - xmean, 2);
  }
  var m = num / den;
  var b = ymean - m * xmean;
  return [m, b];
};

// According to Microsoft:
// http://office.microsoft.com/en-us/starter-help/logest-function-HP010342665.aspx
// LOGEST returns are based on the following linear model:
// ln y = x1 ln m1 + ... + xn ln mn + ln b
exports.LOGEST = function(data_y, data_x) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(data_y, data_x)) {
    return error.value;
  }
  for (var i = 0; i < data_y.length; i ++) {
    data_y[i] = Math.log(data_y[i]);
  }

  var result = exports.LINEST(data_y, data_x);
  result[0] = Math.round(Math.exp(result[0])*1000000)/1000000;
  result[1] = Math.round(Math.exp(result[1])*1000000)/1000000;
  return result;
};

exports.LOGNORM = {};

exports.LOGNORM.DIST = function(x, mean, sd, cumulative) {
  x = utils.parseNumber(x);
  mean = utils.parseNumber(mean);
  sd = utils.parseNumber(sd);
  if (utils.anyIsError(x, mean, sd)) {
    return error.value;
  }
  return (cumulative) ? jStat.lognormal.cdf(x, mean, sd) : jStat.lognormal.pdf(x, mean, sd);
};

exports.LOGNORM.INV = function(probability, mean, sd) {
  probability = utils.parseNumber(probability);
  mean = utils.parseNumber(mean);
  sd = utils.parseNumber(sd);
  if (utils.anyIsError(probability, mean, sd)) {
    return error.value;
  }
  return jStat.lognormal.inv(probability, mean, sd);
};

exports.MAX = function() {
  var range = utils.numbers(utils.flatten(arguments));
  return (range.length === 0) ? 0 : Math.max.apply(Math, range);
};

exports.MAXA = function() {
  var range = utils.arrayValuesToNumbers(utils.flatten(arguments));
  return (range.length === 0) ? 0 : Math.max.apply(Math, range);
};

exports.MEDIAN = function() {
  var range = utils.arrayValuesToNumbers(utils.flatten(arguments));
  var result = jStat.median(range);

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.MIN = function() {
  var range = utils.numbers(utils.flatten(arguments));
  return (range.length === 0) ? 0 : Math.min.apply(Math, range);
};

exports.MINA = function() {
  var range = utils.arrayValuesToNumbers(utils.flatten(arguments));
  return (range.length === 0) ? 0 : Math.min.apply(Math, range);
};

exports.MODE = {};

exports.MODE.MULT = function() {
  // Credits: Roönaän
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var n = range.length;
  var count = {};
  var maxItems = [];
  var max = 0;
  var currentItem;

  for (var i = 0; i < n; i++) {
    currentItem = range[i];
    count[currentItem] = count[currentItem] ? count[currentItem] + 1 : 1;
    if (count[currentItem] > max) {
      max = count[currentItem];
      maxItems = [];
    }
    if (count[currentItem] === max) {
      maxItems[maxItems.length] = currentItem;
    }
  }
  return maxItems;
};

exports.MODE.SNGL = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  return exports.MODE.MULT(range).sort(function(a, b) {
    return a - b;
  })[0];
};

exports.NEGBINOM = {};

exports.NEGBINOM.DIST = function(k, r, p, cumulative) {
  k = utils.parseNumber(k);
  r = utils.parseNumber(r);
  p = utils.parseNumber(p);
  if (utils.anyIsError(k, r, p)) {
    return error.value;
  }
  return (cumulative) ? jStat.negbin.cdf(k, r, p) : jStat.negbin.pdf(k, r, p);
};

exports.NORM = {};

exports.NORM.DIST = function(x, mean, sd, cumulative) {
  x = utils.parseNumber(x);
  mean = utils.parseNumber(mean);
  sd = utils.parseNumber(sd);
  if (utils.anyIsError(x, mean, sd)) {
    return error.value;
  }
  if (sd <= 0) {
    return error.num;
  }

  // Return normal distribution computed by jStat [http://jstat.org]
  return (cumulative) ? jStat.normal.cdf(x, mean, sd) : jStat.normal.pdf(x, mean, sd);
};

exports.NORM.INV = function(probability, mean, sd) {
  probability = utils.parseNumber(probability);
  mean = utils.parseNumber(mean);
  sd = utils.parseNumber(sd);
  if (utils.anyIsError(probability, mean, sd)) {
    return error.value;
  }
  return jStat.normal.inv(probability, mean, sd);
};

exports.NORM.S = {};

exports.NORM.S.DIST = function(z, cumulative) {
  z = utils.parseNumber(z);
  if (z instanceof Error) {
    return error.value;
  }
  return (cumulative) ? jStat.normal.cdf(z, 0, 1) : jStat.normal.pdf(z, 0, 1);
};

exports.NORM.S.INV = function(probability) {
  probability = utils.parseNumber(probability);
  if (probability instanceof Error) {
    return error.value;
  }
  return jStat.normal.inv(probability, 0, 1);
};

exports.PEARSON = function(data_x, data_y) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(data_y, data_x)) {
    return error.value;
  }
  var xmean = jStat.mean(data_x);
  var ymean = jStat.mean(data_y);
  var n = data_x.length;
  var num = 0;
  var den1 = 0;
  var den2 = 0;
  for (var i = 0; i < n; i++) {
    num += (data_x[i] - xmean) * (data_y[i] - ymean);
    den1 += Math.pow(data_x[i] - xmean, 2);
    den2 += Math.pow(data_y[i] - ymean, 2);
  }
  return num / Math.sqrt(den1 * den2);
};

exports.PERCENTILE = {};

exports.PERCENTILE.EXC = function(array, k) {
  array = utils.parseNumberArray(utils.flatten(array));
  k = utils.parseNumber(k);
  if (utils.anyIsError(array, k)) {
    return error.value;
  }
  array = array.sort(function(a, b) {
    {
      return a - b;
    }
  });
  var n = array.length;
  if (k < 1 / (n + 1) || k > 1 - 1 / (n + 1)) {
    return error.num;
  }
  var l = k * (n + 1) - 1;
  var fl = Math.floor(l);
  return utils.cleanFloat((l === fl) ? array[l] : array[fl] + (l - fl) * (array[fl + 1] - array[fl]));
};

exports.PERCENTILE.INC = function(array, k) {
  array = utils.parseNumberArray(utils.flatten(array));
  k = utils.parseNumber(k);
  if (utils.anyIsError(array, k)) {
    return error.value;
  }
  array = array.sort(function(a, b) {
    return a - b;
  });
  var n = array.length;
  var l = k * (n - 1);
  var fl = Math.floor(l);
  return utils.cleanFloat((l === fl) ? array[l] : array[fl] + (l - fl) * (array[fl + 1] - array[fl]));
};

exports.PERCENTRANK = {};

exports.PERCENTRANK.EXC = function(array, x, significance) {
  significance = (significance === undefined) ? 3 : significance;
  array = utils.parseNumberArray(utils.flatten(array));
  x = utils.parseNumber(x);
  significance = utils.parseNumber(significance);
  if (utils.anyIsError(array, x, significance)) {
    return error.value;
  }
  array = array.sort(function(a, b) {
    return a - b;
  });
  var uniques = misc.UNIQUE.apply(null, array);
  var n = array.length;
  var m = uniques.length;
  var power = Math.pow(10, significance);
  var result = 0;
  var match = false;
  var i = 0;
  while (!match && i < m) {
    if (x === uniques[i]) {
      result = (array.indexOf(uniques[i]) + 1) / (n + 1);
      match = true;
    } else if (x >= uniques[i] && (x < uniques[i + 1] || i === m - 1)) {
      result = (array.indexOf(uniques[i]) + 1 + (x - uniques[i]) / (uniques[i + 1] - uniques[i])) / (n + 1);
      match = true;
    }
    i++;
  }
  return Math.floor(result * power) / power;
};

exports.PERCENTRANK.INC = function(array, x, significance) {
  significance = (significance === undefined) ? 3 : significance;
  array = utils.parseNumberArray(utils.flatten(array));
  x = utils.parseNumber(x);
  significance = utils.parseNumber(significance);
  if (utils.anyIsError(array, x, significance)) {
    return error.value;
  }
  array = array.sort(function(a, b) {
    return a - b;
  });
  var uniques = misc.UNIQUE.apply(null, array);
  var n = array.length;
  var m = uniques.length;
  var power = Math.pow(10, significance);
  var result = 0;
  var match = false;
  var i = 0;
  while (!match && i < m) {
    if (x === uniques[i]) {
      result = array.indexOf(uniques[i]) / (n - 1);
      match = true;
    } else if (x >= uniques[i] && (x < uniques[i + 1] || i === m - 1)) {
      result = (array.indexOf(uniques[i]) + (x - uniques[i]) / (uniques[i + 1] - uniques[i])) / (n - 1);
      match = true;
    }
    i++;
  }
  return Math.floor(result * power) / power;
};

exports.PERMUT = function(number, number_chosen) {
  number = utils.parseNumber(number);
  number_chosen = utils.parseNumber(number_chosen);
  if (utils.anyIsError(number, number_chosen)) {
    return error.value;
  }
  return mathTrig.FACT(number) / mathTrig.FACT(number - number_chosen);
};

exports.PERMUTATIONA = function(number, number_chosen) {
  number = utils.parseNumber(number);
  number_chosen = utils.parseNumber(number_chosen);
  if (utils.anyIsError(number, number_chosen)) {
    return error.value;
  }
  return Math.pow(number, number_chosen);
};

exports.PHI = function(x) {
  x = utils.parseNumber(x);
  if (x instanceof Error) {
    return error.value;
  }
  return Math.exp(-0.5 * x * x) / SQRT2PI;
};

exports.POISSON = {};

exports.POISSON.DIST = function(x, mean, cumulative) {
  x = utils.parseNumber(x);
  mean = utils.parseNumber(mean);
  if (utils.anyIsError(x, mean)) {
    return error.value;
  }
  return (cumulative) ? jStat.poisson.cdf(x, mean) : jStat.poisson.pdf(x, mean);
};

exports.PROB = function(range, probability, lower, upper) {
  if (lower === undefined) {
    return 0;
  }
  upper = (upper === undefined) ? lower : upper;

  range = utils.parseNumberArray(utils.flatten(range));
  probability = utils.parseNumberArray(utils.flatten(probability));
  lower = utils.parseNumber(lower);
  upper = utils.parseNumber(upper);
  if (utils.anyIsError(range, probability, lower, upper)) {
    return error.value;
  }

  if (lower === upper) {
    return (range.indexOf(lower) >= 0) ? probability[range.indexOf(lower)] : 0;
  }

  var sorted = range.sort(function(a, b) {
    return a - b;
  });
  var n = sorted.length;
  var result = 0;
  for (var i = 0; i < n; i++) {
    if (sorted[i] >= lower && sorted[i] <= upper) {
      result += probability[range.indexOf(sorted[i])];
    }
  }
  return result;
};

exports.QUARTILE = {};

exports.QUARTILE.EXC = function(range, quart) {
  range = utils.parseNumberArray(utils.flatten(range));
  quart = utils.parseNumber(quart);
  if (utils.anyIsError(range, quart)) {
    return error.value;
  }
  switch (quart) {
    case 1:
      return exports.PERCENTILE.EXC(range, 0.25);
    case 2:
      return exports.PERCENTILE.EXC(range, 0.5);
    case 3:
      return exports.PERCENTILE.EXC(range, 0.75);
    default:
      return error.num;
  }
};

exports.QUARTILE.INC = function(range, quart) {
  range = utils.parseNumberArray(utils.flatten(range));
  quart = utils.parseNumber(quart);
  if (utils.anyIsError(range, quart)) {
    return error.value;
  }
  switch (quart) {
    case 1:
      return exports.PERCENTILE.INC(range, 0.25);
    case 2:
      return exports.PERCENTILE.INC(range, 0.5);
    case 3:
      return exports.PERCENTILE.INC(range, 0.75);
    default:
      return error.num;
  }
};

exports.RANK = {};

exports.RANK.AVG = function(number, range, order) {
  number = utils.parseNumber(number);
  range = utils.parseNumberArray(utils.flatten(range));
  if (utils.anyIsError(number, range)) {
    return error.value;
  }
  range = utils.flatten(range);
  order = order || false;
  var sort = (order) ? function(a, b) {
    return a - b;
  } : function(a, b) {
    return b - a;
  };
  range = range.sort(sort);

  var length = range.length;
  var count = 0;
  for (var i = 0; i < length; i++) {
    if (range[i] === number) {
      count++;
    }
  }

  return (count > 1) ? (2 * range.indexOf(number) + count + 1) / 2 : range.indexOf(number) + 1;
};

exports.RANK.EQ = function(number, range, order) {
  number = utils.parseNumber(number);
  range = utils.parseNumberArray(utils.flatten(range));
  if (utils.anyIsError(number, range)) {
    return error.value;
  }
  order = order || false;
  var sort = (order) ? function(a, b) {
    return a - b;
  } : function(a, b) {
    return b - a;
  };
  range = range.sort(sort);
  return range.indexOf(number) + 1;
};

exports.ROW = function(matrix, index) {
  if (arguments.length !== 2) {
    return error.na;
  }

  if (index < 0) {
    return error.num;
  }

  if (!(matrix instanceof Array) || (typeof index !== 'number')) {
    return error.value;
  }

  if (matrix.length === 0) {
    return undefined;
  }

  return jStat.row(matrix, index);
};

exports.ROWS = function(matrix) {
  if (arguments.length !== 1) {
    return error.na;
  }

  if (!(matrix instanceof Array)) {
    return error.value;
  }

  if (matrix.length === 0) {
    return 0;
  }

  return jStat.rows(matrix);
};

exports.RSQ = function(data_x, data_y) { // no need to flatten here, PEARSON will take care of that
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  if (utils.anyIsError(data_x, data_y)) {
    return error.value;
  }
  return Math.pow(exports.PEARSON(data_x, data_y), 2);
};

exports.SKEW = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var mean = jStat.mean(range);
  var n = range.length;
  var sigma = 0;
  for (var i = 0; i < n; i++) {
    sigma += Math.pow(range[i] - mean, 3);
  }
  return n * sigma / ((n - 1) * (n - 2) * Math.pow(jStat.stdev(range, true), 3));
};

exports.SKEW.P = function() {
  var range = utils.parseNumberArray(utils.flatten(arguments));
  if (range instanceof Error) {
    return range;
  }
  var mean = jStat.mean(range);
  var n = range.length;
  var m2 = 0;
  var m3 = 0;
  for (var i = 0; i < n; i++) {
    m3 += Math.pow(range[i] - mean, 3);
    m2 += Math.pow(range[i] - mean, 2);
  }
  m3 = m3 / n;
  m2 = m2 / n;
  return m3 / Math.pow(m2, 3 / 2);
};

exports.SLOPE = function(data_y, data_x) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(data_y, data_x)) {
    return error.value;
  }
  var xmean = jStat.mean(data_x);
  var ymean = jStat.mean(data_y);
  var n = data_x.length;
  var num = 0;
  var den = 0;
  for (var i = 0; i < n; i++) {
    num += (data_x[i] - xmean) * (data_y[i] - ymean);
    den += Math.pow(data_x[i] - xmean, 2);
  }
  return num / den;
};

exports.SMALL = function(range, k) {
  range = utils.parseNumberArray(utils.flatten(range));
  k = utils.parseNumber(k);
  if (utils.anyIsError(range, k)) {
    return range;
  }
  return range.sort(function(a, b) {
    return a - b;
  })[k - 1];
};

exports.STANDARDIZE = function(x, mean, sd) {
  x = utils.parseNumber(x);
  mean = utils.parseNumber(mean);
  sd = utils.parseNumber(sd);
  if (utils.anyIsError(x, mean, sd)) {
    return error.value;
  }
  return (x - mean) / sd;
};

exports.STDEV = {};

exports.STDEV.P = function() {
  var v = exports.VAR.P.apply(this, arguments);
  var result = Math.sqrt(v);

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.STDEV.S = function() {
  var v = exports.VAR.S.apply(this, arguments);
  var result = Math.sqrt(v);

  return result;
};

exports.STDEVA = function() {
  var v = exports.VARA.apply(this, arguments);
  var result = Math.sqrt(v);

  return result;
};

exports.STDEVPA = function() {
  var v = exports.VARPA.apply(this, arguments);
  var result = Math.sqrt(v);

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};


exports.STEYX = function(data_y, data_x) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  if (utils.anyIsError(data_y, data_x)) {
    return error.value;
  }
  var xmean = jStat.mean(data_x);
  var ymean = jStat.mean(data_y);
  var n = data_x.length;
  var lft = 0;
  var num = 0;
  var den = 0;
  for (var i = 0; i < n; i++) {
    lft += Math.pow(data_y[i] - ymean, 2);
    num += (data_x[i] - xmean) * (data_y[i] - ymean);
    den += Math.pow(data_x[i] - xmean, 2);
  }
  return Math.sqrt((lft - num * num / den) / (n - 2));
};

exports.TRANSPOSE = function(matrix) {
  if (!matrix) {
    return error.na;
  }
  return jStat.transpose(matrix);
};

exports.T = text.T;

exports.T.DIST = function(x, df, cumulative) {
  x = utils.parseNumber(x);
  df = utils.parseNumber(df);
  if (utils.anyIsError(x, df)) {
    return error.value;
  }
  return (cumulative) ? jStat.studentt.cdf(x, df) : jStat.studentt.pdf(x, df);
};

exports.T.DIST['2T'] = function(x, df) {
  if (arguments.length !== 2) {
    return error.na;
  }

  if (x < 0 || df < 1) {
    return error.num;
  }

  if ((typeof x !== 'number') || (typeof df !== 'number')) {
    return error.value;
  }

  return (1 - jStat.studentt.cdf(x , df)) * 2;
};

exports.T.DIST.RT = function(x, df) {
  if (arguments.length !== 2) {
    return error.na;
  }

  if (x < 0 || df < 1) {
    return error.num;
  }

  if ((typeof x !== 'number') || (typeof df !== 'number')) {
    return error.value;
  }

  return 1 - jStat.studentt.cdf(x , df);
};

exports.T.INV = function(probability, df) {
  probability = utils.parseNumber(probability);
  df = utils.parseNumber(df);
  if (utils.anyIsError(probability, df)) {
    return error.value;
  }
  return jStat.studentt.inv(probability, df);
};

exports.T.INV['2T'] = function(probability, df) {
  probability = utils.parseNumber(probability);
  df = utils.parseNumber(df);
  if (probability <= 0 || probability > 1 || df < 1) {
    return error.num;
  }
  if (utils.anyIsError(probability, df)) {
    return error.value;
  }
  return Math.abs(jStat.studentt.inv(probability/2, df));
};

// The algorithm can be found here:
// http://www.chem.uoa.gr/applets/AppletTtest/Appl_Ttest2.html
exports.T.TEST = function(data_x, data_y) {
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  if (utils.anyIsError(data_x, data_y)) {
    return error.value;
  }

  var mean_x = jStat.mean(data_x);
  var mean_y = jStat.mean(data_y);
  var s_x = 0;
  var s_y = 0;
  var i;

  for (i = 0; i < data_x.length; i++) {
    s_x += Math.pow(data_x[i] - mean_x, 2);
  }
  for (i = 0; i < data_y.length; i++) {
    s_y += Math.pow(data_y[i] - mean_y, 2);
  }

  s_x = s_x / (data_x.length-1);
  s_y = s_y / (data_y.length-1);

  var t = Math.abs(mean_x - mean_y) / Math.sqrt(s_x/data_x.length + s_y/data_y.length);

  return exports.T.DIST['2T'](t, data_x.length+data_y.length-2);
};

exports.TREND = function(data_y, data_x, new_data_x) {
  data_y = utils.parseNumberArray(utils.flatten(data_y));
  data_x = utils.parseNumberArray(utils.flatten(data_x));
  new_data_x = utils.parseNumberArray(utils.flatten(new_data_x));
  if (utils.anyIsError(data_y, data_x, new_data_x)) {
    return error.value;
  }
  var linest = exports.LINEST(data_y, data_x);
  var m = linest[0];
  var b = linest[1];
  var result = [];

  new_data_x.forEach(function(x) {
    result.push(m * x + b);
  });

  return result;
};

exports.TRIMMEAN = function(range, percent) {
  range = utils.parseNumberArray(utils.flatten(range));
  percent = utils.parseNumber(percent);
  if (utils.anyIsError(range, percent)) {
    return error.value;
  }
  var trim = mathTrig.FLOOR(range.length * percent, 2) / 2;
  return jStat.mean(utils.initial(utils.rest(range.sort(function(a, b) {
    return a - b;
  }), trim), trim));
};

exports.VAR = {};

exports.VAR.P = function() {
  var range = utils.numbers(utils.flatten(arguments));
  var n = range.length;
  var sigma = 0;
  var mean = exports.AVERAGE(range);
  var result;
  for (var i = 0; i < n; i++) {
    sigma += Math.pow(range[i] - mean, 2);
  }
  result = sigma / n;

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.VAR.S = function() {
  var range = utils.numbers(utils.flatten(arguments));
  var n = range.length;
  var sigma = 0;
  var mean = exports.AVERAGE(range);
  for (var i = 0; i < n; i++) {
    sigma += Math.pow(range[i] - mean, 2);
  }
  return sigma / (n - 1);
};

exports.VARA = function() {
  var range = utils.flatten(arguments);
  var n = range.length;
  var sigma = 0;
  var count = 0;
  var mean = exports.AVERAGEA(range);
  for (var i = 0; i < n; i++) {
    var el = range[i];
    if (typeof el === 'number') {
      sigma += Math.pow(el - mean, 2);
    } else if (el === true) {
      sigma += Math.pow(1 - mean, 2);
    } else {
      sigma += Math.pow(0 - mean, 2);
    }

    if (el !== null) {
      count++;
    }
  }
  return sigma / (count - 1);
};

exports.VARPA = function() {
  var range = utils.flatten(arguments);
  var n = range.length;
  var sigma = 0;
  var count = 0;
  var mean = exports.AVERAGEA(range);
  var result;
  for (var i = 0; i < n; i++) {
    var el = range[i];
    if (typeof el === 'number') {
      sigma += Math.pow(el - mean, 2);
    } else if (el === true) {
      sigma += Math.pow(1 - mean, 2);
    } else {
      sigma += Math.pow(0 - mean, 2);
    }

    if (el !== null) {
      count++;
    }
  }
  result = sigma / count;

  if (isNaN(result)) {
    result = error.num;
  }

  return result;
};

exports.WEIBULL = {};

exports.WEIBULL.DIST = function(x, alpha, beta, cumulative) {
  x = utils.parseNumber(x);
  alpha = utils.parseNumber(alpha);
  beta = utils.parseNumber(beta);
  if (utils.anyIsError(x, alpha, beta)) {
    return error.value;
  }
  return (cumulative) ? 1 - Math.exp(-Math.pow(x / beta, alpha)) : Math.pow(x, alpha - 1) * Math.exp(-Math.pow(x / beta, alpha)) * alpha / Math.pow(beta, alpha);
};

exports.Z = {};

exports.Z.TEST = function(range, x, sd) {
  range = utils.parseNumberArray(utils.flatten(range));
  x = utils.parseNumber(x);
  if (utils.anyIsError(range, x)) {
    return error.value;
  }

  sd = sd || exports.STDEV.S(range);
  var n = range.length;
  return 1 - exports.NORM.S.DIST((exports.AVERAGE(range) - x) / (sd / Math.sqrt(n)), true);
};


/***/ }),
/* 4 */
/***/ (function(module, exports, __webpack_require__) {

var utils = __webpack_require__(1);
var error = __webpack_require__(0);

//TODO
exports.ASC = function() {
  throw new Error('ASC is not implemented');
};

//TODO
exports.BAHTTEXT = function() {
  throw new Error('BAHTTEXT is not implemented');
};

exports.CHAR = function(number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return String.fromCharCode(number);
};

exports.CLEAN = function(text) {
  text = text || '';
  var re = /[\0-\x1F]/g;
  return text.replace(re, "");
};

exports.CODE = function(text) {
  text = text || '';
  var result = text.charCodeAt(0);

  if (isNaN(result)) {
    result = error.na;
  }
  return result;
};

exports.CONCATENATE = function() {
  var args = utils.flatten(arguments);

  var trueFound = 0;
  while ((trueFound = args.indexOf(true)) > -1) {
    args[trueFound] = 'TRUE';
  }

  var falseFound = 0;
  while ((falseFound = args.indexOf(false)) > -1) {
    args[falseFound] = 'FALSE';
  }

  return args.join('');
};

//TODO
exports.DBCS = function() {
  throw new Error('DBCS is not implemented');
};

//TODO
exports.DOLLAR = function() {
  throw new Error('DOLLAR is not implemented');
};

exports.EXACT = function(text1, text2) {
  if (arguments.length !== 2) {
    return error.na;
  }
  return text1 === text2;
};

exports.FIND = function(find_text, within_text, position) {
  if (arguments.length < 2) {
    return error.na;
  }
  position = (position === undefined) ? 0 : position;
  return within_text ? within_text.indexOf(find_text, position - 1) + 1 : null;
};

//TODO
exports.FIXED = function() {
  throw new Error('FIXED is not implemented');
};

exports.HTML2TEXT = function (value) {
  var result = '';

  if (value) {
    if (value instanceof Array) {
      value.forEach(function (line) {
        if (result !== '') {
          result += '\n';
        }
        result += (line.replace(/<(?:.|\n)*?>/gm, ''));
      });
    } else {
      result = value.replace(/<(?:.|\n)*?>/gm, '');
    }
  }

  return result;
};

exports.LEFT = function(text, number) {
  number = (number === undefined) ? 1 : number;
  number = utils.parseNumber(number);
  if (number instanceof Error || typeof text !== 'string') {
    return error.value;
  }
  return text ? text.substring(0, number) : null;
};

exports.LEN = function(text) {
  if (arguments.length === 0) {
    return error.error;
  }

  if (typeof text === 'string') {
    return text ? text.length : 0;
  }

  if (text.length) {
    return text.length;
  }

  return error.value;
};

exports.LOWER = function(text) {
  if (typeof text !== 'string') {
    return error.value;
  }
  return text ? text.toLowerCase() : text;
};

exports.MID = function(text, start, number) {
  start = utils.parseNumber(start);
  number = utils.parseNumber(number);
  if (utils.anyIsError(start, number) || typeof text !== 'string') {
    return number;
  }

  var begin = start - 1;
  var end = begin + number;

  return text.substring(begin, end);
};

// TODO
exports.NUMBERVALUE = function (text, decimal_separator, group_separator)  {
  decimal_separator = (typeof decimal_separator === 'undefined') ? '.' : decimal_separator;
  group_separator = (typeof group_separator === 'undefined') ? ',' : group_separator;
  return Number(text.replace(decimal_separator, '.').replace(group_separator, ''));
};

// TODO
exports.PRONETIC = function() {
  throw new Error('PRONETIC is not implemented');
};

exports.PROPER = function(text) {
  if (text === undefined || text.length === 0) {
    return error.value;
  }
  if (text === true) {
    text = 'TRUE';
  }
  if (text === false) {
    text = 'FALSE';
  }
  if (isNaN(text) && typeof text === 'number') {
    return error.value;
  }
  if (typeof text === 'number') {
    text = '' + text;
  }

  return text.replace(/\w\S*/g, function(txt) {
    return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();
  });
};

exports.REGEXEXTRACT = function (text, regular_expression) {
  if (arguments.length < 2) {
    return error.na;
  }
  var match = text.match(new RegExp(regular_expression));
  return match ? (match[match.length > 1 ? match.length - 1 : 0]) : null;
};

exports.REGEXMATCH = function (text, regular_expression, full) {
  if (arguments.length < 2) {
    return error.na;
  }
  var match = text.match(new RegExp(regular_expression));
  return full ? match : !!match;
};

exports.REGEXREPLACE = function (text, regular_expression, replacement) {
  if (arguments.length < 3) {
    return error.na;
  }
  return text.replace(new RegExp(regular_expression), replacement);
};

exports.REPLACE = function(text, position, length, new_text) {
  position = utils.parseNumber(position);
  length = utils.parseNumber(length);
  if (utils.anyIsError(position, length) ||
    typeof text !== 'string' ||
    typeof new_text !== 'string') {
    return error.value;
  }
  return text.substr(0, position - 1) + new_text + text.substr(position - 1 + length);
};

exports.REPT = function(text, number) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return new Array(number + 1).join(text);
};

exports.RIGHT = function(text, number) {
  number = (number === undefined) ? 1 : number;
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }
  return text ? text.substring(text.length - number) : error.na;
};

exports.SEARCH = function(find_text, within_text, position) {
  var foundAt;
  if (typeof find_text !== 'string' || typeof within_text !== 'string') {
    return error.value;
  }
  position = (position === undefined) ? 0 : position;
  foundAt = within_text.toLowerCase().indexOf(find_text.toLowerCase(), position - 1)+1;
  return (foundAt === 0)?error.value:foundAt;
};

exports.SPLIT = function (text, separator) {
  return text.split(separator);
};

exports.SUBSTITUTE = function(text, old_text, new_text, occurrence) {
  if (arguments.length < 2) {
    return error.na;
  }
  if (!text || !old_text || !new_text) {
    return text;
  } else if (occurrence === undefined) {
    return text.replace(new RegExp(old_text, 'g'), new_text);
  } else {
    var index = 0;
    var i = 0;
    while (text.indexOf(old_text, index) > 0) {
      index = text.indexOf(old_text, index + 1);
      i++;
      if (i === occurrence) {
        return text.substring(0, index) + new_text + text.substring(index + old_text.length);
      }
    }
  }
};

exports.T = function(value) {
  return (typeof value === "string") ? value : '';
};

// TODO incomplete implementation
exports.TEXT = function() {
  throw new Error('TEXT is not implemented');
};

exports.TRIM = function(text) {
  if (typeof text !== 'string') {
    return error.value;
  }
  return text.replace(/ +/g, ' ').trim();
};

exports.UNICHAR = exports.CHAR;

exports.UNICODE = exports.CODE;

exports.UPPER = function(text) {
  if (typeof text !== 'string') {
    return error.value;
  }
  return text.toUpperCase();
};

//TODO
exports.VALUE = function() {
  throw new Error('VALUE is not implemented');
};


/***/ }),
/* 5 */
/***/ (function(module, exports) {

var defaultOperator = '=';
var validSymbols = ['>', '>=', '<', '<=', '=', '<>'];
var TOKEN_TYPE_OPERATOR = 'operator';
var TOKEN_TYPE_LITERAL = 'literal';
var SUPPORTED_TOKENS = [TOKEN_TYPE_OPERATOR, TOKEN_TYPE_LITERAL];

exports.TOKEN_TYPE_OPERATOR = TOKEN_TYPE_OPERATOR;
exports.TOKEN_TYPE_LITERAL = TOKEN_TYPE_LITERAL;

/**
 * Create token which describe passed symbol/value.
 *
 * @param {String} value Value/Symbol to describe.
 * @param {String} type Type of the token 'operator' or 'literal'.
 * @return {Object}
 */
function createToken(value, type) {
  if (SUPPORTED_TOKENS.indexOf(type) === -1) {
    throw new Error('Unsupported token type: ' + type);
  }

  return {
    value: value,
    type: type,
  };
}

/**
 * Tries to cast numeric values to their type passed as a string.
 *
 * @param {*} value
 * @return {*}
 */
function castValueToCorrectType(value) {
  if (typeof value !== 'string') {
    return value;
  }

  if (/^\d+(\.\d+)?$/.test(value)) {
    value = value.indexOf('.') === -1 ? parseInt(value, 10) : parseFloat(value);
  }

  return value;
}

/**
 * Generate stream of tokens from passed expression.
 *
 * @param {String} expression
 * @return {String[]}
 */
function tokenizeExpression(expression) {
  var expressionLength = expression.length;
  var tokens = [];
  var cursorIndex = 0;
  var processedValue = '';
  var processedSymbol = '';

  while (cursorIndex < expressionLength) {
    var char = expression.charAt(cursorIndex);

    switch (char) {
      case '>':
      case '<':
      case '=':
        processedSymbol = processedSymbol + char;

        if (processedValue.length > 0) {
          tokens.push(processedValue);
          processedValue = '';
        }
      break;
      default:
        if (processedSymbol.length > 0) {
          tokens.push(processedSymbol);
          processedSymbol = '';
        }

        processedValue = processedValue + char;
      break;
    }
    cursorIndex++;
  }

  if (processedValue.length > 0) {
    tokens.push(processedValue);
  }
  if (processedSymbol.length > 0) {
    tokens.push(processedSymbol);
  }

  return tokens;
};

/**
 * Analyze and convert tokens to an object which describes their meaning.
 *
 * @param {String[]} tokens
 * @return {Object[]}
 */
function analyzeTokens(tokens) {
  var literalValue = '';
  var analyzedTokens = [];

  for (var i = 0; i < tokens.length; i++) {
    var token = tokens[i];

    if (i === 0 && validSymbols.indexOf(token) >= 0) {
      analyzedTokens.push(createToken(token, TOKEN_TYPE_OPERATOR));
    } else {
      literalValue += token;
    }
  }

  if (literalValue.length > 0) {
    analyzedTokens.push(createToken(castValueToCorrectType(literalValue), TOKEN_TYPE_LITERAL));
  }

  if (analyzedTokens.length > 0 && analyzedTokens[0].type !== TOKEN_TYPE_OPERATOR) {
    analyzedTokens.unshift(createToken(defaultOperator, TOKEN_TYPE_OPERATOR));
  }

  return analyzedTokens;
};

/**
 * Compute/Evaluate an expression passed as an array of tokens.
 *
 * @param {Object[]} tokens
 * @return {Boolean}
 */
function computeExpression(tokens) {
  var values = [];
  var operator;

  for (var i = 0; i < tokens.length; i++) {
    var token = tokens[i];

    switch (token.type) {
      case TOKEN_TYPE_OPERATOR:
        operator = token.value;
      break;
      case TOKEN_TYPE_LITERAL:
        values.push(token.value);
      break;
    }
  }

  return evaluate(values, operator);
};

/**
 * Evaluate values based on passed math operator.
 *
 * @param {*} values
 * @param {String} operator
 * @return {Boolean}
 */
function evaluate(values, operator) {
  var result = false;

  switch (operator) {
    case '>':
      result = values[0] > values[1];
      break;
    case '>=':
      result = values[0] >= values[1];
      break;
    case '<':
      result = values[0] < values[1];
      break;
    case '<=':
      result = values[0] <= values[1];
      break;
    case '=':
      result = values[0] == values[1];
      break;
    case '<>':
      result = values[0] != values[1];
      break;
  }

  return result;
}

exports.parse = function(expression) {
  return analyzeTokens(tokenizeExpression(expression));
};
exports.createToken = createToken;
exports.compute = computeExpression;


/***/ }),
/* 6 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);

// TODO
exports.CELL = function() {
  throw new Error('CELL is not implemented');
};

exports.ERROR = {};
exports.ERROR.TYPE = function(error_val) {
  switch (error_val) {
    case error.nil: return 1;
    case error.div0: return 2;
    case error.value: return 3;
    case error.ref: return 4;
    case error.name: return 5;
    case error.num: return 6;
    case error.na: return 7;
    case error.data: return 8;
  }
  return error.na;
};

// TODO
exports.INFO = function() {
  throw new Error('INFO is not implemented');
};

exports.ISBLANK = function(value) {
  return value === null;
};

exports.ISBINARY = function (number) {
  return (/^[01]{1,10}$/).test(number);
};

exports.ISERR = function(value) {
  return ([error.value, error.ref, error.div0, error.num, error.name, error.nil]).indexOf(value) >= 0 ||
    (typeof value === 'number' && (isNaN(value) || !isFinite(value)));
};

exports.ISERROR = function(value) {
  return exports.ISERR(value) || value === error.na;
};

exports.ISEVEN = function(number) {
  return (Math.floor(Math.abs(number)) & 1) ? false : true;
};

// TODO
exports.ISFORMULA = function() {
  throw new Error('ISFORMULA is not implemented');
};

exports.ISLOGICAL = function(value) {
  return value === true || value === false;
};

exports.ISNA = function(value) {
  return value === error.na;
};

exports.ISNONTEXT = function(value) {
  return typeof(value) !== 'string';
};

exports.ISNUMBER = function(value) {
  return typeof(value) === 'number' && !isNaN(value) && isFinite(value);
};

exports.ISODD = function(number) {
  return (Math.floor(Math.abs(number)) & 1) ? true : false;
};

// TODO
exports.ISREF = function() {
  throw new Error('ISREF is not implemented');
};

exports.ISTEXT = function(value) {
  return typeof(value) === 'string';
};

exports.N = function(value) {
  if (this.ISNUMBER(value)) {
    return value;
  }
  if (value instanceof Date) {
    return value.getTime();
  }
  if (value === true) {
    return 1;
  }
  if (value === false) {
    return 0;
  }
  if (this.ISERROR(value)) {
    return value;
  }
  return 0;
};

exports.NA = function() {
  return error.na;
};


// TODO
exports.SHEET = function() {
  throw new Error('SHEET is not implemented');
};

// TODO
exports.SHEETS = function() {
  throw new Error('SHEETS is not implemented');
};

exports.TYPE = function(value) {
  if (this.ISNUMBER(value)) {
    return 1;
  }
  if (this.ISTEXT(value)) {
    return 2;
  }
  if (this.ISLOGICAL(value)) {
    return 4;
  }
  if (this.ISERROR(value)) {
    return 16;
  }
  if (Array.isArray(value)) {
    return 64;
  }
};


/***/ }),
/* 7 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var utils = __webpack_require__(1);

var d1900 = new Date(Date.UTC(1900, 0, 1));
var WEEK_STARTS = [
  undefined,
  0,
  1,
  undefined,
  undefined,
  undefined,
  undefined,
  undefined,
  undefined,
  undefined,
  undefined,
  undefined,
  1,
  2,
  3,
  4,
  5,
  6,
  0
];
var WEEK_TYPES = [
  [],
  [1, 2, 3, 4, 5, 6, 7],
  [7, 1, 2, 3, 4, 5, 6],
  [6, 0, 1, 2, 3, 4, 5],
  [],
  [],
  [],
  [],
  [],
  [],
  [],
  [7, 1, 2, 3, 4, 5, 6],
  [6, 7, 1, 2, 3, 4, 5],
  [5, 6, 7, 1, 2, 3, 4],
  [4, 5, 6, 7, 1, 2, 3],
  [3, 4, 5, 6, 7, 1, 2],
  [2, 3, 4, 5, 6, 7, 1],
  [1, 2, 3, 4, 5, 6, 7]
];
var WEEKEND_TYPES = [
  [],
  [6, 0],
  [0, 1],
  [1, 2],
  [2, 3],
  [3, 4],
  [4, 5],
  [5, 6],
  undefined,
  undefined,
  undefined, [0, 0],
  [1, 1],
  [2, 2],
  [3, 3],
  [4, 4],
  [5, 5],
  [6, 6]
];

exports.DATE = function(year, month, day) {
  var result;

  year = utils.parseNumber(year);
  month = utils.parseNumber(month);
  day = utils.parseNumber(day);

  if (utils.anyIsError(year, month, day)) {
    result = error.value;

  } else if (year < 0 || month < 0 || day < 0) {
    result = error.num;

  } else {
    result = new Date(year, month - 1, day);
  }

  return result;
};

exports.DATEVALUE = function(date_text) {
  var modifier = 2;
  var date;

  if (typeof date_text !== 'string') {
    return error.value;
  }

  date = Date.parse(date_text);

  if (isNaN(date)) {
    return error.value;
  }

  if (date <= -2203891200000) {
    modifier = 1;
  }

  return Math.ceil((date - d1900) / 86400000) + modifier;
};

exports.DAY = function(serial_number) {
  var date = utils.parseDate(serial_number);
  if (date instanceof Error) {
    return date;
  }

  return date.getDate();
};

exports.DAYS = function(end_date, start_date) {
  end_date = utils.parseDate(end_date);
  start_date = utils.parseDate(start_date);

  if (end_date instanceof Error) {
    return end_date;
  }
  if (start_date instanceof Error) {
    return start_date;
  }

  return serial(end_date) - serial(start_date);
};

exports.DAYS360 = function(start_date, end_date, method) {
  method = utils.parseBool(method);
  start_date = utils.parseDate(start_date);
  end_date = utils.parseDate(end_date);

  if (start_date instanceof Error) {
    return start_date;
  }
  if (end_date instanceof Error) {
    return end_date;
  }
  if (method instanceof Error) {
    return method;
  }
  var sm = start_date.getMonth();
  var em = end_date.getMonth();
  var sd, ed;

  if (method) {
    sd = start_date.getDate() === 31 ? 30 : start_date.getDate();
    ed = end_date.getDate() === 31 ? 30 : end_date.getDate();
  } else {
    var smd = new Date(start_date.getFullYear(), sm + 1, 0).getDate();
    var emd = new Date(end_date.getFullYear(), em + 1, 0).getDate();
    sd = start_date.getDate() === smd ? 30 : start_date.getDate();
    if (end_date.getDate() === emd) {
      if (sd < 30) {
        em++;
        ed = 1;
      } else {
        ed = 30;
      }
    } else {
      ed = end_date.getDate();
    }
  }

  return 360 * (end_date.getFullYear() - start_date.getFullYear()) +
    30 * (em - sm) + (ed - sd);
};

exports.EDATE = function(start_date, months) {
  start_date = utils.parseDate(start_date);

  if (start_date instanceof Error) {
    return start_date;
  }
  if (isNaN(months)) {
    return error.value;
  }
  months = parseInt(months, 10);
  start_date.setMonth(start_date.getMonth() + months);

  return serial(start_date);
};

exports.EOMONTH = function(start_date, months) {
  start_date = utils.parseDate(start_date);

  if (start_date instanceof Error) {
    return start_date;
  }
  if (isNaN(months)) {
    return error.value;
  }
  months = parseInt(months, 10);

  return serial(new Date(start_date.getFullYear(), start_date.getMonth() + months + 1, 0));
};

exports.HOUR = function(serial_number) {
  serial_number = utils.parseDate(serial_number);

  if (serial_number instanceof Error) {
    return serial_number;
  }

  return serial_number.getHours();
};

exports.INTERVAL = function (second) {
  if (typeof second !== 'number' && typeof second !== 'string') {
    return error.value;
  } else {
    second = parseInt(second, 10);
  }

  var year  = Math.floor(second/946080000);
  second    = second%946080000;
  var month = Math.floor(second/2592000);
  second    = second%2592000;
  var day   = Math.floor(second/86400);
  second    = second%86400;

  var hour  = Math.floor(second/3600);
  second    = second%3600;
  var min   = Math.floor(second/60);
  second    = second%60;
  var sec   = second;

  year  = (year  > 0) ? year  + 'Y' : '';
  month = (month > 0) ? month + 'M' : '';
  day   = (day   > 0) ? day   + 'D' : '';
  hour  = (hour  > 0) ? hour  + 'H' : '';
  min   = (min   > 0) ? min   + 'M' : '';
  sec   = (sec   > 0) ? sec   + 'S' : '';

  return 'P' + year + month + day + 'T' + hour + min + sec;
};

exports.ISOWEEKNUM = function(date) {
  date = utils.parseDate(date);

  if (date instanceof Error) {
    return date;
  }

  date.setHours(0, 0, 0);
  date.setDate(date.getDate() + 4 - (date.getDay() || 7));
  var yearStart = new Date(date.getFullYear(), 0, 1);

  return Math.ceil((((date - yearStart) / 86400000) + 1) / 7);
};

exports.MINUTE = function(serial_number) {
  serial_number = utils.parseDate(serial_number);

  if (serial_number instanceof Error) {
    return serial_number;
  }

  return serial_number.getMinutes();
};

exports.MONTH = function(serial_number) {
  serial_number = utils.parseDate(serial_number);

  if (serial_number instanceof Error) {
    return serial_number;
  }

  return serial_number.getMonth() + 1;
};

exports.NETWORKDAYS = function(start_date, end_date, holidays) {
  return this.NETWORKDAYS.INTL(start_date, end_date, 1, holidays);
};

exports.NETWORKDAYS.INTL = function(start_date, end_date, weekend, holidays) {
  start_date = utils.parseDate(start_date);

  if (start_date instanceof Error) {
    return start_date;
  }
  end_date = utils.parseDate(end_date);

  if (end_date instanceof Error) {
    return end_date;
  }
  if (weekend === undefined) {
    weekend = WEEKEND_TYPES[1];
  } else {
    weekend = WEEKEND_TYPES[weekend];
  }
  if (!(weekend instanceof Array)) {
    return error.value;
  }
  if (holidays === undefined) {
    holidays = [];
  } else if (!(holidays instanceof Array)) {
    holidays = [holidays];
  }

  for (var i = 0; i < holidays.length; i++) {
    var h = utils.parseDate(holidays[i]);
    if (h instanceof Error) {
      return h;
    }
    holidays[i] = h;
  }
  var days = (end_date - start_date) / (1000 * 60 * 60 * 24) + 1;
  var total = days;
  var day = start_date;
  for (i = 0; i < days; i++) {
    var d = (new Date().getTimezoneOffset() > 0) ? day.getUTCDay() : day.getDay();
    var dec = false;
    if (d === weekend[0] || d === weekend[1]) {
      dec = true;
    }
    for (var j = 0; j < holidays.length; j++) {
      var holiday = holidays[j];
      if (holiday.getDate() === day.getDate() &&
        holiday.getMonth() === day.getMonth() &&
        holiday.getFullYear() === day.getFullYear()) {
        dec = true;
        break;
      }
    }
    if (dec) {
      total--;
    }
    day.setDate(day.getDate() + 1);
  }

  return total;
};

exports.NOW = function() {
  return new Date();
};

exports.SECOND = function(serial_number) {
  serial_number = utils.parseDate(serial_number);
  if (serial_number instanceof Error) {
    return serial_number;
  }

  return serial_number.getSeconds();
};

exports.TIME = function(hour, minute, second) {
  hour = utils.parseNumber(hour);
  minute = utils.parseNumber(minute);
  second = utils.parseNumber(second);
  if (utils.anyIsError(hour, minute, second)) {
    return error.value;
  }
  if (hour < 0 || minute < 0 || second < 0) {
    return error.num;
  }

  return (3600 * hour + 60 * minute + second) / 86400;
};

exports.TIMEVALUE = function(time_text) {
  time_text = utils.parseDate(time_text);

  if (time_text instanceof Error) {
    return time_text;
  }

  return (3600 * time_text.getHours() + 60 * time_text.getMinutes() + time_text.getSeconds()) / 86400;
};

exports.TODAY = function() {
  return new Date();
};

exports.WEEKDAY = function(serial_number, return_type) {
  serial_number = utils.parseDate(serial_number);
  if (serial_number instanceof Error) {
    return serial_number;
  }
  if (return_type === undefined) {
    return_type = 1;
  }
  var day = serial_number.getDay();

  return WEEK_TYPES[return_type][day];
};

exports.WEEKNUM = function(serial_number, return_type) {
  serial_number = utils.parseDate(serial_number);
  if (serial_number instanceof Error) {
    return serial_number;
  }
  if (return_type === undefined) {
    return_type = 1;
  }
  if (return_type === 21) {
    return this.ISOWEEKNUM(serial_number);
  }
  var week_start = WEEK_STARTS[return_type];
  var jan = new Date(serial_number.getFullYear(), 0, 1);
  var inc = jan.getDay() < week_start ? 1 : 0;
  jan -= Math.abs(jan.getDay() - week_start) * 24 * 60 * 60 * 1000;

  return Math.floor(((serial_number - jan) / (1000 * 60 * 60 * 24)) / 7 + 1) + inc;
};

exports.WORKDAY = function(start_date, days, holidays) {
  return this.WORKDAY.INTL(start_date, days, 1, holidays);
};

exports.WORKDAY.INTL = function(start_date, days, weekend, holidays) {
  start_date = utils.parseDate(start_date);
  if (start_date instanceof Error) {
    return start_date;
  }
  days = utils.parseNumber(days);
  if (days instanceof Error) {
    return days;
  }
  if (days < 0) {
    return error.num;
  }
  if (weekend === undefined) {
    weekend = WEEKEND_TYPES[1];
  } else {
    weekend = WEEKEND_TYPES[weekend];
  }
  if (!(weekend instanceof Array)) {
    return error.value;
  }
  if (holidays === undefined) {
    holidays = [];
  } else if (!(holidays instanceof Array)) {
    holidays = [holidays];
  }
  for (var i = 0; i < holidays.length; i++) {
    var h = utils.parseDate(holidays[i]);
    if (h instanceof Error) {
      return h;
    }
    holidays[i] = h;
  }
  var d = 0;
  while (d < days) {
    start_date.setDate(start_date.getDate() + 1);
    var day = start_date.getDay();
    if (day === weekend[0] || day === weekend[1]) {
      continue;
    }
    for (var j = 0; j < holidays.length; j++) {
      var holiday = holidays[j];
      if (holiday.getDate() === start_date.getDate() &&
        holiday.getMonth() === start_date.getMonth() &&
        holiday.getFullYear() === start_date.getFullYear()) {
        d--;
        break;
      }
    }
    d++;
  }

  return start_date;
};

exports.YEAR = function(serial_number) {
  serial_number = utils.parseDate(serial_number);

  if (serial_number instanceof Error) {
    return serial_number;
  }

  return serial_number.getFullYear();
};

function isLeapYear(year) {
  return new Date(year, 1, 29).getMonth() === 1;
}

// TODO : Use DAYS ?
function daysBetween(start_date, end_date) {
  return Math.ceil((end_date - start_date) / 1000 / 60 / 60 / 24);
}

exports.YEARFRAC = function(start_date, end_date, basis) {
  start_date = utils.parseDate(start_date);
  if (start_date instanceof Error) {
    return start_date;
  }
  end_date = utils.parseDate(end_date);
  if (end_date instanceof Error) {
    return end_date;
  }

  basis = basis || 0;
  var sd = start_date.getDate();
  var sm = start_date.getMonth() + 1;
  var sy = start_date.getFullYear();
  var ed = end_date.getDate();
  var em = end_date.getMonth() + 1;
  var ey = end_date.getFullYear();

  switch (basis) {
    case 0:
      // US (NASD) 30/360
      if (sd === 31 && ed === 31) {
        sd = 30;
        ed = 30;
      } else if (sd === 31) {
        sd = 30;
      } else if (sd === 30 && ed === 31) {
        ed = 30;
      }
      return ((ed + em * 30 + ey * 360) - (sd + sm * 30 + sy * 360)) / 360;
    case 1:
      // Actual/actual
      var feb29Between = function(date1, date2) {
        var year1 = date1.getFullYear();
        var mar1year1 = new Date(year1, 2, 1);
        if (isLeapYear(year1) && date1 < mar1year1 && date2 >= mar1year1) {
          return true;
        }
        var year2 = date2.getFullYear();
        var mar1year2 = new Date(year2, 2, 1);
        return (isLeapYear(year2) && date2 >= mar1year2 && date1 < mar1year2);
      };
      var ylength = 365;
      if (sy === ey || ((sy + 1) === ey) && ((sm > em) || ((sm === em) && (sd >= ed)))) {
        if ((sy === ey && isLeapYear(sy)) ||
          feb29Between(start_date, end_date) ||
          (em === 1 && ed === 29)) {
          ylength = 366;
        }
        return daysBetween(start_date, end_date) / ylength;
      }
      var years = (ey - sy) + 1;
      var days = (new Date(ey + 1, 0, 1) - new Date(sy, 0, 1)) / 1000 / 60 / 60 / 24;
      var average = days / years;
      return daysBetween(start_date, end_date) / average;
    case 2:
      // Actual/360
      return daysBetween(start_date, end_date) / 360;
    case 3:
      // Actual/365
      return daysBetween(start_date, end_date) / 365;
    case 4:
      // European 30/360
      return ((ed + em * 30 + ey * 360) - (sd + sm * 30 + sy * 360)) / 360;
  }
};

function serial(date) {
  var addOn = (date > -2203891200000) ? 2 : 1;

  return Math.ceil((date - d1900) / 86400000) + addOn;
}


/***/ }),
/* 8 */
/***/ (function(module, exports, __webpack_require__) {

(function (window, factory) {
    if (true) {
        module.exports = factory();
    } else if (typeof define === 'function' && define.amd) {
        define(factory);
    } else {
        window.jStat = factory();
    }
})(this, function () {
var jStat = (function(Math, undefined) {

// For quick reference.
var concat = Array.prototype.concat;
var slice = Array.prototype.slice;
var toString = Object.prototype.toString;

// Calculate correction for IEEE error
// TODO: This calculation can be improved.
function calcRdx(n, m) {
  var val = n > m ? n : m;
  return Math.pow(10,
                  17 - ~~(Math.log(((val > 0) ? val : -val)) * Math.LOG10E));
}


var isArray = Array.isArray || function isArray(arg) {
  return toString.call(arg) === '[object Array]';
};


function isFunction(arg) {
  return toString.call(arg) === '[object Function]';
}


function isNumber(num) {
  return (typeof num === 'number') ? num - num === 0 : false;
}


// Converts the jStat matrix to vector.
function toVector(arr) {
  return concat.apply([], arr);
}


// The one and only jStat constructor.
function jStat() {
  return new jStat._init(arguments);
}


// TODO: Remove after all references in src files have been removed.
jStat.fn = jStat.prototype;


// By separating the initializer from the constructor it's easier to handle
// always returning a new instance whether "new" was used or not.
jStat._init = function _init(args) {
  // If first argument is an array, must be vector or matrix.
  if (isArray(args[0])) {
    // Check if matrix.
    if (isArray(args[0][0])) {
      // See if a mapping function was also passed.
      if (isFunction(args[1]))
        args[0] = jStat.map(args[0], args[1]);
      // Iterate over each is faster than this.push.apply(this, args[0].
      for (var i = 0; i < args[0].length; i++)
        this[i] = args[0][i];
      this.length = args[0].length;

    // Otherwise must be a vector.
    } else {
      this[0] = isFunction(args[1]) ? jStat.map(args[0], args[1]) : args[0];
      this.length = 1;
    }

  // If first argument is number, assume creation of sequence.
  } else if (isNumber(args[0])) {
    this[0] = jStat.seq.apply(null, args);
    this.length = 1;

  // Handle case when jStat object is passed to jStat.
  } else if (args[0] instanceof jStat) {
    // Duplicate the object and pass it back.
    return jStat(args[0].toArray());

  // Unexpected argument value, return empty jStat object.
  // TODO: This is strange behavior. Shouldn't this throw or some such to let
  // the user know they had bad arguments?
  } else {
    this[0] = [];
    this.length = 1;
  }

  return this;
};
jStat._init.prototype = jStat.prototype;
jStat._init.constructor = jStat;


// Utility functions.
// TODO: for internal use only?
jStat.utils = {
  calcRdx: calcRdx,
  isArray: isArray,
  isFunction: isFunction,
  isNumber: isNumber,
  toVector: toVector
};


jStat._random_fn = Math.random;
jStat.setRandom = function setRandom(fn) {
  if (typeof fn !== 'function')
    throw new TypeError('fn is not a function');
  jStat._random_fn = fn;
};


// Easily extend the jStat object.
// TODO: is this seriously necessary?
jStat.extend = function extend(obj) {
  var i, j;

  if (arguments.length === 1) {
    for (j in obj)
      jStat[j] = obj[j];
    return this;
  }

  for (i = 1; i < arguments.length; i++) {
    for (j in arguments[i])
      obj[j] = arguments[i][j];
  }

  return obj;
};


// Returns the number of rows in the matrix.
jStat.rows = function rows(arr) {
  return arr.length || 1;
};


// Returns the number of columns in the matrix.
jStat.cols = function cols(arr) {
  return arr[0].length || 1;
};


// Returns the dimensions of the object { rows: i, cols: j }
jStat.dimensions = function dimensions(arr) {
  return {
    rows: jStat.rows(arr),
    cols: jStat.cols(arr)
  };
};


// Returns a specified row as a vector or return a sub matrix by pick some rows
jStat.row = function row(arr, index) {
  if (isArray(index)) {
    return index.map(function(i) {
      return jStat.row(arr, i);
    })
  }
  return arr[index];
};


// return row as array
// rowa([[1,2],[3,4]],0) -> [1,2]
jStat.rowa = function rowa(arr, i) {
  return jStat.row(arr, i);
};


// Returns the specified column as a vector or return a sub matrix by pick some
// columns
jStat.col = function col(arr, index) {
  if (isArray(index)) {
    var submat = jStat.arange(arr.length).map(function() {
      return new Array(index.length);
    });
    index.forEach(function(ind, i){
      jStat.arange(arr.length).forEach(function(j) {
        submat[j][i] = arr[j][ind];
      });
    });
    return submat;
  }
  var column = new Array(arr.length);
  for (var i = 0; i < arr.length; i++)
    column[i] = [arr[i][index]];
  return column;
};


// return column as array
// cola([[1,2],[3,4]],0) -> [1,3]
jStat.cola = function cola(arr, i) {
  return jStat.col(arr, i).map(function(a){ return a[0] });
};


// Returns the diagonal of the matrix
jStat.diag = function diag(arr) {
  var nrow = jStat.rows(arr);
  var res = new Array(nrow);
  for (var row = 0; row < nrow; row++)
    res[row] = [arr[row][row]];
  return res;
};


// Returns the anti-diagonal of the matrix
jStat.antidiag = function antidiag(arr) {
  var nrow = jStat.rows(arr) - 1;
  var res = new Array(nrow);
  for (var i = 0; nrow >= 0; nrow--, i++)
    res[i] = [arr[i][nrow]];
  return res;
};

// Transpose a matrix or array.
jStat.transpose = function transpose(arr) {
  var obj = [];
  var objArr, rows, cols, j, i;

  // Make sure arr is in matrix format.
  if (!isArray(arr[0]))
    arr = [arr];

  rows = arr.length;
  cols = arr[0].length;

  for (i = 0; i < cols; i++) {
    objArr = new Array(rows);
    for (j = 0; j < rows; j++)
      objArr[j] = arr[j][i];
    obj.push(objArr);
  }

  // If obj is vector, return only single array.
  return obj.length === 1 ? obj[0] : obj;
};


// Map a function to an array or array of arrays.
// "toAlter" is an internal variable.
jStat.map = function map(arr, func, toAlter) {
  var row, nrow, ncol, res, col;

  if (!isArray(arr[0]))
    arr = [arr];

  nrow = arr.length;
  ncol = arr[0].length;
  res = toAlter ? arr : new Array(nrow);

  for (row = 0; row < nrow; row++) {
    // if the row doesn't exist, create it
    if (!res[row])
      res[row] = new Array(ncol);
    for (col = 0; col < ncol; col++)
      res[row][col] = func(arr[row][col], row, col);
  }

  return res.length === 1 ? res[0] : res;
};


// Cumulatively combine the elements of an array or array of arrays using a function.
jStat.cumreduce = function cumreduce(arr, func, toAlter) {
  var row, nrow, ncol, res, col;

  if (!isArray(arr[0]))
    arr = [arr];

  nrow = arr.length;
  ncol = arr[0].length;
  res = toAlter ? arr : new Array(nrow);

  for (row = 0; row < nrow; row++) {
    // if the row doesn't exist, create it
    if (!res[row])
      res[row] = new Array(ncol);
    if (ncol > 0)
      res[row][0] = arr[row][0];
    for (col = 1; col < ncol; col++)
      res[row][col] = func(res[row][col-1], arr[row][col]);
  }
  return res.length === 1 ? res[0] : res;
};


// Destructively alter an array.
jStat.alter = function alter(arr, func) {
  return jStat.map(arr, func, true);
};


// Generate a rows x cols matrix according to the supplied function.
jStat.create = function  create(rows, cols, func) {
  var res = new Array(rows);
  var i, j;

  if (isFunction(cols)) {
    func = cols;
    cols = rows;
  }

  for (i = 0; i < rows; i++) {
    res[i] = new Array(cols);
    for (j = 0; j < cols; j++)
      res[i][j] = func(i, j);
  }

  return res;
};


function retZero() { return 0; }


// Generate a rows x cols matrix of zeros.
jStat.zeros = function zeros(rows, cols) {
  if (!isNumber(cols))
    cols = rows;
  return jStat.create(rows, cols, retZero);
};


function retOne() { return 1; }


// Generate a rows x cols matrix of ones.
jStat.ones = function ones(rows, cols) {
  if (!isNumber(cols))
    cols = rows;
  return jStat.create(rows, cols, retOne);
};


// Generate a rows x cols matrix of uniformly random numbers.
jStat.rand = function rand(rows, cols) {
  if (!isNumber(cols))
    cols = rows;
  return jStat.create(rows, cols, jStat._random_fn);
};


function retIdent(i, j) { return i === j ? 1 : 0; }


// Generate an identity matrix of size row x cols.
jStat.identity = function identity(rows, cols) {
  if (!isNumber(cols))
    cols = rows;
  return jStat.create(rows, cols, retIdent);
};


// Tests whether a matrix is symmetric
jStat.symmetric = function symmetric(arr) {
  var size = arr.length;
  var row, col;

  if (arr.length !== arr[0].length)
    return false;

  for (row = 0; row < size; row++) {
    for (col = 0; col < size; col++)
      if (arr[col][row] !== arr[row][col])
        return false;
  }

  return true;
};


// Set all values to zero.
jStat.clear = function clear(arr) {
  return jStat.alter(arr, retZero);
};


// Generate sequence.
jStat.seq = function seq(min, max, length, func) {
  if (!isFunction(func))
    func = false;

  var arr = [];
  var hival = calcRdx(min, max);
  var step = (max * hival - min * hival) / ((length - 1) * hival);
  var current = min;
  var cnt;

  // Current is assigned using a technique to compensate for IEEE error.
  // TODO: Needs better implementation.
  for (cnt = 0;
       current <= max && cnt < length;
       cnt++, current = (min * hival + step * hival * cnt) / hival) {
    arr.push((func ? func(current, cnt) : current));
  }

  return arr;
};


// arange(5) -> [0,1,2,3,4]
// arange(1,5) -> [1,2,3,4]
// arange(5,1,-1) -> [5,4,3,2]
jStat.arange = function arange(start, end, step) {
  var rl = [];
  var i;
  step = step || 1;
  if (end === undefined) {
    end = start;
    start = 0;
  }
  if (start === end || step === 0) {
    return [];
  }
  if (start < end && step < 0) {
    return [];
  }
  if (start > end && step > 0) {
    return [];
  }
  if (step > 0) {
    for (i = start; i < end; i += step) {
      rl.push(i);
    }
  } else {
    for (i = start; i > end; i += step) {
      rl.push(i);
    }
  }
  return rl;
};


// A=[[1,2,3],[4,5,6],[7,8,9]]
// slice(A,{row:{end:2},col:{start:1}}) -> [[2,3],[5,6]]
// slice(A,1,{start:1}) -> [5,6]
// as numpy code A[:2,1:]
jStat.slice = (function(){
  function _slice(list, start, end, step) {
    // note it's not equal to range.map mode it's a bug
    var i;
    var rl = [];
    var length = list.length;
    if (start === undefined && end === undefined && step === undefined) {
      return jStat.copy(list);
    }

    start = start || 0;
    end = end || list.length;
    start = start >= 0 ? start : length + start;
    end = end >= 0 ? end : length + end;
    step = step || 1;
    if (start === end || step === 0) {
      return [];
    }
    if (start < end && step < 0) {
      return [];
    }
    if (start > end && step > 0) {
      return [];
    }
    if (step > 0) {
      for (i = start; i < end; i += step) {
        rl.push(list[i]);
      }
    } else {
      for (i = start; i > end;i += step) {
        rl.push(list[i]);
      }
    }
    return rl;
  }

  function slice(list, rcSlice) {
    var colSlice, rowSlice;
    rcSlice = rcSlice || {};
    if (isNumber(rcSlice.row)) {
      if (isNumber(rcSlice.col))
        return list[rcSlice.row][rcSlice.col];
      var row = jStat.rowa(list, rcSlice.row);
      colSlice = rcSlice.col || {};
      return _slice(row, colSlice.start, colSlice.end, colSlice.step);
    }

    if (isNumber(rcSlice.col)) {
      var col = jStat.cola(list, rcSlice.col);
      rowSlice = rcSlice.row || {};
      return _slice(col, rowSlice.start, rowSlice.end, rowSlice.step);
    }

    rowSlice = rcSlice.row || {};
    colSlice = rcSlice.col || {};
    var rows = _slice(list, rowSlice.start, rowSlice.end, rowSlice.step);
    return rows.map(function(row) {
      return _slice(row, colSlice.start, colSlice.end, colSlice.step);
    });
  }

  return slice;
}());


// A=[[1,2,3],[4,5,6],[7,8,9]]
// sliceAssign(A,{row:{start:1},col:{start:1}},[[0,0],[0,0]])
// A=[[1,2,3],[4,0,0],[7,0,0]]
jStat.sliceAssign = function sliceAssign(A, rcSlice, B) {
  var nl, ml;
  if (isNumber(rcSlice.row)) {
    if (isNumber(rcSlice.col))
      return A[rcSlice.row][rcSlice.col] = B;
    rcSlice.col = rcSlice.col || {};
    rcSlice.col.start = rcSlice.col.start || 0;
    rcSlice.col.end = rcSlice.col.end || A[0].length;
    rcSlice.col.step = rcSlice.col.step || 1;
    nl = jStat.arange(rcSlice.col.start,
                          Math.min(A.length, rcSlice.col.end),
                          rcSlice.col.step);
    var m = rcSlice.row;
    nl.forEach(function(n, i) {
      A[m][n] = B[i];
    });
    return A;
  }

  if (isNumber(rcSlice.col)) {
    rcSlice.row = rcSlice.row || {};
    rcSlice.row.start = rcSlice.row.start || 0;
    rcSlice.row.end = rcSlice.row.end || A.length;
    rcSlice.row.step = rcSlice.row.step || 1;
    ml = jStat.arange(rcSlice.row.start,
                          Math.min(A[0].length, rcSlice.row.end),
                          rcSlice.row.step);
    var n = rcSlice.col;
    ml.forEach(function(m, j) {
      A[m][n] = B[j];
    });
    return A;
  }

  if (B[0].length === undefined) {
    B = [B];
  }
  rcSlice.row.start = rcSlice.row.start || 0;
  rcSlice.row.end = rcSlice.row.end || A.length;
  rcSlice.row.step = rcSlice.row.step || 1;
  rcSlice.col.start = rcSlice.col.start || 0;
  rcSlice.col.end = rcSlice.col.end || A[0].length;
  rcSlice.col.step = rcSlice.col.step || 1;
  ml = jStat.arange(rcSlice.row.start,
                        Math.min(A.length, rcSlice.row.end),
                        rcSlice.row.step);
  nl = jStat.arange(rcSlice.col.start,
                        Math.min(A[0].length, rcSlice.col.end),
                        rcSlice.col.step);
  ml.forEach(function(m, i) {
    nl.forEach(function(n, j) {
      A[m][n] = B[i][j];
    });
  });
  return A;
};


// [1,2,3] ->
// [[1,0,0],[0,2,0],[0,0,3]]
jStat.diagonal = function diagonal(diagArray) {
  var mat = jStat.zeros(diagArray.length, diagArray.length);
  diagArray.forEach(function(t, i) {
    mat[i][i] = t;
  });
  return mat;
};


// return copy of A
jStat.copy = function copy(A) {
  return A.map(function(row) {
    if (isNumber(row))
      return row;
    return row.map(function(t) {
      return t;
    });
  });
};


// TODO: Go over this entire implementation. Seems a tragic waste of resources
// doing all this work. Instead, and while ugly, use new Function() to generate
// a custom function for each static method.

// Quick reference.
var jProto = jStat.prototype;

// Default length.
jProto.length = 0;

// For internal use only.
// TODO: Check if they're actually used, and if they are then rename them
// to _*
jProto.push = Array.prototype.push;
jProto.sort = Array.prototype.sort;
jProto.splice = Array.prototype.splice;
jProto.slice = Array.prototype.slice;


// Return a clean array.
jProto.toArray = function toArray() {
  return this.length > 1 ? slice.call(this) : slice.call(this)[0];
};


// Map a function to a matrix or vector.
jProto.map = function map(func, toAlter) {
  return jStat(jStat.map(this, func, toAlter));
};


// Cumulatively combine the elements of a matrix or vector using a function.
jProto.cumreduce = function cumreduce(func, toAlter) {
  return jStat(jStat.cumreduce(this, func, toAlter));
};


// Destructively alter an array.
jProto.alter = function alter(func) {
  jStat.alter(this, func);
  return this;
};


// Extend prototype with methods that have no argument.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jProto[passfunc] = function(func) {
      var self = this,
      results;
      // Check for callback.
      if (func) {
        setTimeout(function() {
          func.call(self, jProto[passfunc].call(self));
        });
        return this;
      }
      results = jStat[passfunc](this);
      return isArray(results) ? jStat(results) : results;
    };
  })(funcs[i]);
})('transpose clear symmetric rows cols dimensions diag antidiag'.split(' '));


// Extend prototype with methods that have one argument.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jProto[passfunc] = function(index, func) {
      var self = this;
      // check for callback
      if (func) {
        setTimeout(function() {
          func.call(self, jProto[passfunc].call(self, index));
        });
        return this;
      }
      return jStat(jStat[passfunc](this, index));
    };
  })(funcs[i]);
})('row col'.split(' '));


// Extend prototype with simple shortcut methods.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jProto[passfunc] = function() {
      return jStat(jStat[passfunc].apply(null, arguments));
    };
  })(funcs[i]);
})('create zeros ones rand identity'.split(' '));


// Exposing jStat.
return jStat;

}(Math));
(function(jStat, Math) {

var isFunction = jStat.utils.isFunction;

// Ascending functions for sort
function ascNum(a, b) { return a - b; }

function clip(arg, min, max) {
  return Math.max(min, Math.min(arg, max));
}


// sum of an array
jStat.sum = function sum(arr) {
  var sum = 0;
  var i = arr.length;
  while (--i >= 0)
    sum += arr[i];
  return sum;
};


// sum squared
jStat.sumsqrd = function sumsqrd(arr) {
  var sum = 0;
  var i = arr.length;
  while (--i >= 0)
    sum += arr[i] * arr[i];
  return sum;
};


// sum of squared errors of prediction (SSE)
jStat.sumsqerr = function sumsqerr(arr) {
  var mean = jStat.mean(arr);
  var sum = 0;
  var i = arr.length;
  var tmp;
  while (--i >= 0) {
    tmp = arr[i] - mean;
    sum += tmp * tmp;
  }
  return sum;
};

// sum of an array in each row
jStat.sumrow = function sumrow(arr) {
  var sum = 0;
  var i = arr.length;
  while (--i >= 0)
    sum += arr[i];
  return sum;
};

// product of an array
jStat.product = function product(arr) {
  var prod = 1;
  var i = arr.length;
  while (--i >= 0)
    prod *= arr[i];
  return prod;
};


// minimum value of an array
jStat.min = function min(arr) {
  var low = arr[0];
  var i = 0;
  while (++i < arr.length)
    if (arr[i] < low)
      low = arr[i];
  return low;
};


// maximum value of an array
jStat.max = function max(arr) {
  var high = arr[0];
  var i = 0;
  while (++i < arr.length)
    if (arr[i] > high)
      high = arr[i];
  return high;
};


// unique values of an array
jStat.unique = function unique(arr) {
  var hash = {}, _arr = [];
  for(var i = 0; i < arr.length; i++) {
    if (!hash[arr[i]]) {
      hash[arr[i]] = true;
      _arr.push(arr[i]);
    }
  }
  return _arr;
};


// mean value of an array
jStat.mean = function mean(arr) {
  return jStat.sum(arr) / arr.length;
};


// mean squared error (MSE)
jStat.meansqerr = function meansqerr(arr) {
  return jStat.sumsqerr(arr) / arr.length;
};


// geometric mean of an array
jStat.geomean = function geomean(arr) {
  return Math.pow(jStat.product(arr), 1 / arr.length);
};


// median of an array
jStat.median = function median(arr) {
  var arrlen = arr.length;
  var _arr = arr.slice().sort(ascNum);
  // check if array is even or odd, then return the appropriate
  return !(arrlen & 1)
    ? (_arr[(arrlen / 2) - 1 ] + _arr[(arrlen / 2)]) / 2
    : _arr[(arrlen / 2) | 0 ];
};


// cumulative sum of an array
jStat.cumsum = function cumsum(arr) {
  return jStat.cumreduce(arr, function (a, b) { return a + b; });
};


// cumulative product of an array
jStat.cumprod = function cumprod(arr) {
  return jStat.cumreduce(arr, function (a, b) { return a * b; });
};


// successive differences of a sequence
jStat.diff = function diff(arr) {
  var diffs = [];
  var arrLen = arr.length;
  var i;
  for (i = 1; i < arrLen; i++)
    diffs.push(arr[i] - arr[i - 1]);
  return diffs;
};


// ranks of an array
jStat.rank = function (arr) {
  var arrlen = arr.length;
  var sorted = arr.slice().sort(ascNum);
  var ranks = new Array(arrlen);
  var val;
  for (var i = 0; i < arrlen; i++) {
    var first = sorted.indexOf(arr[i]);
    var last = sorted.lastIndexOf(arr[i]);
    if (first === last) {
      val = first;
    } else {
      val = (first + last) / 2;
    }
    ranks[i] = val + 1;
  }
  return ranks;
};


// mode of an array
// if there are multiple modes of an array, return all of them
// is this the appropriate way of handling it?
jStat.mode = function mode(arr) {
  var arrLen = arr.length;
  var _arr = arr.slice().sort(ascNum);
  var count = 1;
  var maxCount = 0;
  var numMaxCount = 0;
  var mode_arr = [];
  var i;

  for (i = 0; i < arrLen; i++) {
    if (_arr[i] === _arr[i + 1]) {
      count++;
    } else {
      if (count > maxCount) {
        mode_arr = [_arr[i]];
        maxCount = count;
        numMaxCount = 0;
      }
      // are there multiple max counts
      else if (count === maxCount) {
        mode_arr.push(_arr[i]);
        numMaxCount++;
      }
      // resetting count for new value in array
      count = 1;
    }
  }

  return numMaxCount === 0 ? mode_arr[0] : mode_arr;
};


// range of an array
jStat.range = function range(arr) {
  return jStat.max(arr) - jStat.min(arr);
};

// variance of an array
// flag = true indicates sample instead of population
jStat.variance = function variance(arr, flag) {
  return jStat.sumsqerr(arr) / (arr.length - (flag ? 1 : 0));
};

// pooled variance of an array of arrays
jStat.pooledvariance = function pooledvariance(arr) {
  var sumsqerr = arr.reduce(function (a, samples) {return a + jStat.sumsqerr(samples);}, 0);
  var count = arr.reduce(function (a, samples) {return a + samples.length;}, 0);
  return sumsqerr / (count - arr.length);
};

// deviation of an array
jStat.deviation = function (arr) {
  var mean = jStat.mean(arr);
  var arrlen = arr.length;
  var dev = new Array(arrlen);
  for (var i = 0; i < arrlen; i++) {
    dev[i] = arr[i] - mean;
  }
  return dev;
};

// standard deviation of an array
// flag = true indicates sample instead of population
jStat.stdev = function stdev(arr, flag) {
  return Math.sqrt(jStat.variance(arr, flag));
};

// pooled standard deviation of an array of arrays
jStat.pooledstdev = function pooledstdev(arr) {
  return Math.sqrt(jStat.pooledvariance(arr));
};

// mean deviation (mean absolute deviation) of an array
jStat.meandev = function meandev(arr) {
  var mean = jStat.mean(arr);
  var a = [];
  for (var i = arr.length - 1; i >= 0; i--) {
    a.push(Math.abs(arr[i] - mean));
  }
  return jStat.mean(a);
};


// median deviation (median absolute deviation) of an array
jStat.meddev = function meddev(arr) {
  var median = jStat.median(arr);
  var a = [];
  for (var i = arr.length - 1; i >= 0; i--) {
    a.push(Math.abs(arr[i] - median));
  }
  return jStat.median(a);
};


// coefficient of variation
jStat.coeffvar = function coeffvar(arr) {
  return jStat.stdev(arr) / jStat.mean(arr);
};


// quartiles of an array
jStat.quartiles = function quartiles(arr) {
  var arrlen = arr.length;
  var _arr = arr.slice().sort(ascNum);
  return [
    _arr[ Math.round((arrlen) / 4) - 1 ],
    _arr[ Math.round((arrlen) / 2) - 1 ],
    _arr[ Math.round((arrlen) * 3 / 4) - 1 ]
  ];
};


// Arbitary quantiles of an array. Direct port of the scipy.stats
// implementation by Pierre GF Gerard-Marchant.
jStat.quantiles = function quantiles(arr, quantilesArray, alphap, betap) {
  var sortedArray = arr.slice().sort(ascNum);
  var quantileVals = [quantilesArray.length];
  var n = arr.length;
  var i, p, m, aleph, k, gamma;

  if (typeof alphap === 'undefined')
    alphap = 3 / 8;
  if (typeof betap === 'undefined')
    betap = 3 / 8;

  for (i = 0; i < quantilesArray.length; i++) {
    p = quantilesArray[i];
    m = alphap + p * (1 - alphap - betap);
    aleph = n * p + m;
    k = Math.floor(clip(aleph, 1, n - 1));
    gamma = clip(aleph - k, 0, 1);
    quantileVals[i] = (1 - gamma) * sortedArray[k - 1] + gamma * sortedArray[k];
  }

  return quantileVals;
};

// Return the k-th percentile of values in a range, where k is in the range 0..1, inclusive.
// Passing true for the exclusive parameter excludes both endpoints of the range.
jStat.percentile = function percentile(arr, k, exclusive) {
  var _arr = arr.slice().sort(ascNum);
  var realIndex = k * (_arr.length + (exclusive ? 1 : -1)) + (exclusive ? 0 : 1);
  var index = parseInt(realIndex);
  var frac = realIndex - index;
  if (index + 1 < _arr.length) {
    return _arr[index - 1] + frac * (_arr[index] - _arr[index - 1]);
  } else {
    return _arr[index - 1];
  }
}

// The percentile rank of score in a given array. Returns the percentage
// of all values in the input array that are less than (kind='strict') or
// less or equal than (kind='weak') score. Default is weak.
jStat.percentileOfScore = function percentileOfScore(arr, score, kind) {
  var counter = 0;
  var len = arr.length;
  var strict = false;
  var value, i;

  if (kind === 'strict')
    strict = true;

  for (i = 0; i < len; i++) {
    value = arr[i];
    if ((strict && value < score) ||
        (!strict && value <= score)) {
      counter++;
    }
  }

  return counter / len;
};


// Histogram (bin count) data
jStat.histogram = function histogram(arr, binCnt) {
  binCnt = binCnt || 4;
  var first = jStat.min(arr);
  var binWidth = (jStat.max(arr) - first) / binCnt;
  var len = arr.length;
  var bins = [];
  var i;

  for (i = 0; i < binCnt; i++)
    bins[i] = 0;
  for (i = 0; i < len; i++)
    bins[Math.min(Math.floor(((arr[i] - first) / binWidth)), binCnt - 1)] += 1;

  return bins;
};


// covariance of two arrays
jStat.covariance = function covariance(arr1, arr2) {
  var u = jStat.mean(arr1);
  var v = jStat.mean(arr2);
  var arr1Len = arr1.length;
  var sq_dev = new Array(arr1Len);
  var i;

  for (i = 0; i < arr1Len; i++)
    sq_dev[i] = (arr1[i] - u) * (arr2[i] - v);

  return jStat.sum(sq_dev) / (arr1Len - 1);
};


// (pearson's) population correlation coefficient, rho
jStat.corrcoeff = function corrcoeff(arr1, arr2) {
  return jStat.covariance(arr1, arr2) /
      jStat.stdev(arr1, 1) /
      jStat.stdev(arr2, 1);
};

  // (spearman's) rank correlation coefficient, sp
jStat.spearmancoeff =  function (arr1, arr2) {
  arr1 = jStat.rank(arr1);
  arr2 = jStat.rank(arr2);
  //return pearson's correlation of the ranks:
  return jStat.corrcoeff(arr1, arr2);
}


// statistical standardized moments (general form of skew/kurt)
jStat.stanMoment = function stanMoment(arr, n) {
  var mu = jStat.mean(arr);
  var sigma = jStat.stdev(arr);
  var len = arr.length;
  var skewSum = 0;

  for (var i = 0; i < len; i++)
    skewSum += Math.pow((arr[i] - mu) / sigma, n);

  return skewSum / arr.length;
};

// (pearson's) moment coefficient of skewness
jStat.skewness = function skewness(arr) {
  return jStat.stanMoment(arr, 3);
};

// (pearson's) (excess) kurtosis
jStat.kurtosis = function kurtosis(arr) {
  return jStat.stanMoment(arr, 4) - 3;
};


var jProto = jStat.prototype;


// Extend jProto with method for calculating cumulative sums and products.
// This differs from the similar extension below as cumsum and cumprod should
// not be run again in the case fullbool === true.
// If a matrix is passed, automatically assume operation should be done on the
// columns.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    // If a matrix is passed, automatically assume operation should be done on
    // the columns.
    jProto[passfunc] = function(fullbool, func) {
      var arr = [];
      var i = 0;
      var tmpthis = this;
      // Assignment reassignation depending on how parameters were passed in.
      if (isFunction(fullbool)) {
        func = fullbool;
        fullbool = false;
      }
      // Check if a callback was passed with the function.
      if (func) {
        setTimeout(function() {
          func.call(tmpthis, jProto[passfunc].call(tmpthis, fullbool));
        });
        return this;
      }
      // Check if matrix and run calculations.
      if (this.length > 1) {
        tmpthis = fullbool === true ? this : this.transpose();
        for (; i < tmpthis.length; i++)
          arr[i] = jStat[passfunc](tmpthis[i]);
        return arr;
      }
      // Pass fullbool if only vector, not a matrix. for variance and stdev.
      return jStat[passfunc](this[0], fullbool);
    };
  })(funcs[i]);
})(('cumsum cumprod').split(' '));


// Extend jProto with methods which don't require arguments and work on columns.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    // If a matrix is passed, automatically assume operation should be done on
    // the columns.
    jProto[passfunc] = function(fullbool, func) {
      var arr = [];
      var i = 0;
      var tmpthis = this;
      // Assignment reassignation depending on how parameters were passed in.
      if (isFunction(fullbool)) {
        func = fullbool;
        fullbool = false;
      }
      // Check if a callback was passed with the function.
      if (func) {
        setTimeout(function() {
          func.call(tmpthis, jProto[passfunc].call(tmpthis, fullbool));
        });
        return this;
      }
      // Check if matrix and run calculations.
      if (this.length > 1) {
        if (passfunc !== 'sumrow')
          tmpthis = fullbool === true ? this : this.transpose();
        for (; i < tmpthis.length; i++)
          arr[i] = jStat[passfunc](tmpthis[i]);
        return fullbool === true
            ? jStat[passfunc](jStat.utils.toVector(arr))
            : arr;
      }
      // Pass fullbool if only vector, not a matrix. for variance and stdev.
      return jStat[passfunc](this[0], fullbool);
    };
  })(funcs[i]);
})(('sum sumsqrd sumsqerr sumrow product min max unique mean meansqerr ' +
    'geomean median diff rank mode range variance deviation stdev meandev ' +
    'meddev coeffvar quartiles histogram skewness kurtosis').split(' '));


// Extend jProto with functions that take arguments. Operations on matrices are
// done on columns.
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jProto[passfunc] = function() {
      var arr = [];
      var i = 0;
      var tmpthis = this;
      var args = Array.prototype.slice.call(arguments);
      var callbackFunction;

      // If the last argument is a function, we assume it's a callback; we
      // strip the callback out and call the function again.
      if (isFunction(args[args.length - 1])) {
        callbackFunction = args[args.length - 1];
        var argsToPass = args.slice(0, args.length - 1);

        setTimeout(function() {
          callbackFunction.call(tmpthis,
                                jProto[passfunc].apply(tmpthis, argsToPass));
        });
        return this;

      // Otherwise we curry the function args and call normally.
      } else {
        callbackFunction = undefined;
        var curriedFunction = function curriedFunction(vector) {
          return jStat[passfunc].apply(tmpthis, [vector].concat(args));
        }
      }

      // If this is a matrix, run column-by-column.
      if (this.length > 1) {
        tmpthis = tmpthis.transpose();
        for (; i < tmpthis.length; i++)
          arr[i] = curriedFunction(tmpthis[i]);
        return arr;
      }

      // Otherwise run on the vector.
      return curriedFunction(this[0]);
    };
  })(funcs[i]);
})('quantiles percentileOfScore'.split(' '));

}(jStat, Math));
// Special functions //
(function(jStat, Math) {

// Log-gamma function
jStat.gammaln = function gammaln(x) {
  var j = 0;
  var cof = [
    76.18009172947146, -86.50532032941677, 24.01409824083091,
    -1.231739572450155, 0.1208650973866179e-2, -0.5395239384953e-5
  ];
  var ser = 1.000000000190015;
  var xx, y, tmp;
  tmp = (y = xx = x) + 5.5;
  tmp -= (xx + 0.5) * Math.log(tmp);
  for (; j < 6; j++)
    ser += cof[j] / ++y;
  return Math.log(2.5066282746310005 * ser / xx) - tmp;
};

/*
 * log-gamma function to support poisson distribution sampling. The
 * algorithm comes from SPECFUN by Shanjie Zhang and Jianming Jin and their
 * book "Computation of Special Functions", 1996, John Wiley & Sons, Inc.
 */
jStat.loggam = function loggam(x) {
  var x0, x2, xp, gl, gl0;
  var k, n;

  var a = [8.333333333333333e-02, -2.777777777777778e-03,
          7.936507936507937e-04, -5.952380952380952e-04,
          8.417508417508418e-04, -1.917526917526918e-03,
          6.410256410256410e-03, -2.955065359477124e-02,
          1.796443723688307e-01, -1.39243221690590e+00];
  x0 = x;
  n = 0;
  if ((x == 1.0) || (x == 2.0)) {
      return 0.0;
  }
  if (x <= 7.0) {
      n = Math.floor(7 - x);
      x0 = x + n;
  }
  x2 = 1.0 / (x0 * x0);
  xp = 2 * Math.PI;
  gl0 = a[9];
  for (k = 8; k >= 0; k--) {
      gl0 *= x2;
      gl0 += a[k];
  }
  gl = gl0 / x0 + 0.5 * Math.log(xp) + (x0 - 0.5) * Math.log(x0) - x0;
  if (x <= 7.0) {
      for (k = 1; k <= n; k++) {
          gl -= Math.log(x0 - 1.0);
          x0 -= 1.0;
      }
  }
  return gl;
}

// gamma of x
jStat.gammafn = function gammafn(x) {
  var p = [-1.716185138865495, 24.76565080557592, -379.80425647094563,
           629.3311553128184, 866.9662027904133, -31451.272968848367,
           -36144.413418691176, 66456.14382024054
  ];
  var q = [-30.8402300119739, 315.35062697960416, -1015.1563674902192,
           -3107.771671572311, 22538.118420980151, 4755.8462775278811,
           -134659.9598649693, -115132.2596755535];
  var fact = false;
  var n = 0;
  var xden = 0;
  var xnum = 0;
  var y = x;
  var i, z, yi, res;
  if (y <= 0) {
    res = y % 1 + 3.6e-16;
    if (res) {
      fact = (!(y & 1) ? 1 : -1) * Math.PI / Math.sin(Math.PI * res);
      y = 1 - y;
    } else {
      return Infinity;
    }
  }
  yi = y;
  if (y < 1) {
    z = y++;
  } else {
    z = (y -= n = (y | 0) - 1) - 1;
  }
  for (i = 0; i < 8; ++i) {
    xnum = (xnum + p[i]) * z;
    xden = xden * z + q[i];
  }
  res = xnum / xden + 1;
  if (yi < y) {
    res /= yi;
  } else if (yi > y) {
    for (i = 0; i < n; ++i) {
      res *= y;
      y++;
    }
  }
  if (fact) {
    res = fact / res;
  }
  return res;
};


// lower incomplete gamma function, which is usually typeset with a
// lower-case greek gamma as the function symbol
jStat.gammap = function gammap(a, x) {
  return jStat.lowRegGamma(a, x) * jStat.gammafn(a);
};


// The lower regularized incomplete gamma function, usually written P(a,x)
jStat.lowRegGamma = function lowRegGamma(a, x) {
  var aln = jStat.gammaln(a);
  var ap = a;
  var sum = 1 / a;
  var del = sum;
  var b = x + 1 - a;
  var c = 1 / 1.0e-30;
  var d = 1 / b;
  var h = d;
  var i = 1;
  // calculate maximum number of itterations required for a
  var ITMAX = -~(Math.log((a >= 1) ? a : 1 / a) * 8.5 + a * 0.4 + 17);
  var an;

  if (x < 0 || a <= 0) {
    return NaN;
  } else if (x < a + 1) {
    for (; i <= ITMAX; i++) {
      sum += del *= x / ++ap;
    }
    return (sum * Math.exp(-x + a * Math.log(x) - (aln)));
  }

  for (; i <= ITMAX; i++) {
    an = -i * (i - a);
    b += 2;
    d = an * d + b;
    c = b + an / c;
    d = 1 / d;
    h *= d * c;
  }

  return (1 - h * Math.exp(-x + a * Math.log(x) - (aln)));
};

// natural log factorial of n
jStat.factorialln = function factorialln(n) {
  return n < 0 ? NaN : jStat.gammaln(n + 1);
};

// factorial of n
jStat.factorial = function factorial(n) {
  return n < 0 ? NaN : jStat.gammafn(n + 1);
};

// combinations of n, m
jStat.combination = function combination(n, m) {
  // make sure n or m don't exceed the upper limit of usable values
  return (n > 170 || m > 170)
      ? Math.exp(jStat.combinationln(n, m))
      : (jStat.factorial(n) / jStat.factorial(m)) / jStat.factorial(n - m);
};


jStat.combinationln = function combinationln(n, m){
  return jStat.factorialln(n) - jStat.factorialln(m) - jStat.factorialln(n - m);
};


// permutations of n, m
jStat.permutation = function permutation(n, m) {
  return jStat.factorial(n) / jStat.factorial(n - m);
};


// beta function
jStat.betafn = function betafn(x, y) {
  // ensure arguments are positive
  if (x <= 0 || y <= 0)
    return undefined;
  // make sure x + y doesn't exceed the upper limit of usable values
  return (x + y > 170)
      ? Math.exp(jStat.betaln(x, y))
      : jStat.gammafn(x) * jStat.gammafn(y) / jStat.gammafn(x + y);
};


// natural logarithm of beta function
jStat.betaln = function betaln(x, y) {
  return jStat.gammaln(x) + jStat.gammaln(y) - jStat.gammaln(x + y);
};


// Evaluates the continued fraction for incomplete beta function by modified
// Lentz's method.
jStat.betacf = function betacf(x, a, b) {
  var fpmin = 1e-30;
  var m = 1;
  var qab = a + b;
  var qap = a + 1;
  var qam = a - 1;
  var c = 1;
  var d = 1 - qab * x / qap;
  var m2, aa, del, h;

  // These q's will be used in factors that occur in the coefficients
  if (Math.abs(d) < fpmin)
    d = fpmin;
  d = 1 / d;
  h = d;

  for (; m <= 100; m++) {
    m2 = 2 * m;
    aa = m * (b - m) * x / ((qam + m2) * (a + m2));
    // One step (the even one) of the recurrence
    d = 1 + aa * d;
    if (Math.abs(d) < fpmin)
      d = fpmin;
    c = 1 + aa / c;
    if (Math.abs(c) < fpmin)
      c = fpmin;
    d = 1 / d;
    h *= d * c;
    aa = -(a + m) * (qab + m) * x / ((a + m2) * (qap + m2));
    // Next step of the recurrence (the odd one)
    d = 1 + aa * d;
    if (Math.abs(d) < fpmin)
      d = fpmin;
    c = 1 + aa / c;
    if (Math.abs(c) < fpmin)
      c = fpmin;
    d = 1 / d;
    del = d * c;
    h *= del;
    if (Math.abs(del - 1.0) < 3e-7)
      break;
  }

  return h;
};


// Returns the inverse of the lower regularized inomplete gamma function
jStat.gammapinv = function gammapinv(p, a) {
  var j = 0;
  var a1 = a - 1;
  var EPS = 1e-8;
  var gln = jStat.gammaln(a);
  var x, err, t, u, pp, lna1, afac;

  if (p >= 1)
    return Math.max(100, a + 100 * Math.sqrt(a));
  if (p <= 0)
    return 0;
  if (a > 1) {
    lna1 = Math.log(a1);
    afac = Math.exp(a1 * (lna1 - 1) - gln);
    pp = (p < 0.5) ? p : 1 - p;
    t = Math.sqrt(-2 * Math.log(pp));
    x = (2.30753 + t * 0.27061) / (1 + t * (0.99229 + t * 0.04481)) - t;
    if (p < 0.5)
      x = -x;
    x = Math.max(1e-3,
                 a * Math.pow(1 - 1 / (9 * a) - x / (3 * Math.sqrt(a)), 3));
  } else {
    t = 1 - a * (0.253 + a * 0.12);
    if (p < t)
      x = Math.pow(p / t, 1 / a);
    else
      x = 1 - Math.log(1 - (p - t) / (1 - t));
  }

  for(; j < 12; j++) {
    if (x <= 0)
      return 0;
    err = jStat.lowRegGamma(a, x) - p;
    if (a > 1)
      t = afac * Math.exp(-(x - a1) + a1 * (Math.log(x) - lna1));
    else
      t = Math.exp(-x + a1 * Math.log(x) - gln);
    u = err / t;
    x -= (t = u / (1 - 0.5 * Math.min(1, u * ((a - 1) / x - 1))));
    if (x <= 0)
      x = 0.5 * (x + t);
    if (Math.abs(t) < EPS * x)
      break;
  }

  return x;
};


// Returns the error function erf(x)
jStat.erf = function erf(x) {
  var cof = [-1.3026537197817094, 6.4196979235649026e-1, 1.9476473204185836e-2,
             -9.561514786808631e-3, -9.46595344482036e-4, 3.66839497852761e-4,
             4.2523324806907e-5, -2.0278578112534e-5, -1.624290004647e-6,
             1.303655835580e-6, 1.5626441722e-8, -8.5238095915e-8,
             6.529054439e-9, 5.059343495e-9, -9.91364156e-10,
             -2.27365122e-10, 9.6467911e-11, 2.394038e-12,
             -6.886027e-12, 8.94487e-13, 3.13092e-13,
             -1.12708e-13, 3.81e-16, 7.106e-15,
             -1.523e-15, -9.4e-17, 1.21e-16,
             -2.8e-17];
  var j = cof.length - 1;
  var isneg = false;
  var d = 0;
  var dd = 0;
  var t, ty, tmp, res;

  if (x < 0) {
    x = -x;
    isneg = true;
  }

  t = 2 / (2 + x);
  ty = 4 * t - 2;

  for(; j > 0; j--) {
    tmp = d;
    d = ty * d - dd + cof[j];
    dd = tmp;
  }

  res = t * Math.exp(-x * x + 0.5 * (cof[0] + ty * d) - dd);
  return isneg ? res - 1 : 1 - res;
};


// Returns the complmentary error function erfc(x)
jStat.erfc = function erfc(x) {
  return 1 - jStat.erf(x);
};


// Returns the inverse of the complementary error function
jStat.erfcinv = function erfcinv(p) {
  var j = 0;
  var x, err, t, pp;
  if (p >= 2)
    return -100;
  if (p <= 0)
    return 100;
  pp = (p < 1) ? p : 2 - p;
  t = Math.sqrt(-2 * Math.log(pp / 2));
  x = -0.70711 * ((2.30753 + t * 0.27061) /
                  (1 + t * (0.99229 + t * 0.04481)) - t);
  for (; j < 2; j++) {
    err = jStat.erfc(x) - pp;
    x += err / (1.12837916709551257 * Math.exp(-x * x) - x * err);
  }
  return (p < 1) ? x : -x;
};


// Returns the inverse of the incomplete beta function
jStat.ibetainv = function ibetainv(p, a, b) {
  var EPS = 1e-8;
  var a1 = a - 1;
  var b1 = b - 1;
  var j = 0;
  var lna, lnb, pp, t, u, err, x, al, h, w, afac;
  if (p <= 0)
    return 0;
  if (p >= 1)
    return 1;
  if (a >= 1 && b >= 1) {
    pp = (p < 0.5) ? p : 1 - p;
    t = Math.sqrt(-2 * Math.log(pp));
    x = (2.30753 + t * 0.27061) / (1 + t* (0.99229 + t * 0.04481)) - t;
    if (p < 0.5)
      x = -x;
    al = (x * x - 3) / 6;
    h = 2 / (1 / (2 * a - 1)  + 1 / (2 * b - 1));
    w = (x * Math.sqrt(al + h) / h) - (1 / (2 * b - 1) - 1 / (2 * a - 1)) *
        (al + 5 / 6 - 2 / (3 * h));
    x = a / (a + b * Math.exp(2 * w));
  } else {
    lna = Math.log(a / (a + b));
    lnb = Math.log(b / (a + b));
    t = Math.exp(a * lna) / a;
    u = Math.exp(b * lnb) / b;
    w = t + u;
    if (p < t / w)
      x = Math.pow(a * w * p, 1 / a);
    else
      x = 1 - Math.pow(b * w * (1 - p), 1 / b);
  }
  afac = -jStat.gammaln(a) - jStat.gammaln(b) + jStat.gammaln(a + b);
  for(; j < 10; j++) {
    if (x === 0 || x === 1)
      return x;
    err = jStat.ibeta(x, a, b) - p;
    t = Math.exp(a1 * Math.log(x) + b1 * Math.log(1 - x) + afac);
    u = err / t;
    x -= (t = u / (1 - 0.5 * Math.min(1, u * (a1 / x - b1 / (1 - x)))));
    if (x <= 0)
      x = 0.5 * (x + t);
    if (x >= 1)
      x = 0.5 * (x + t + 1);
    if (Math.abs(t) < EPS * x && j > 0)
      break;
  }
  return x;
};


// Returns the incomplete beta function I_x(a,b)
jStat.ibeta = function ibeta(x, a, b) {
  // Factors in front of the continued fraction.
  var bt = (x === 0 || x === 1) ?  0 :
    Math.exp(jStat.gammaln(a + b) - jStat.gammaln(a) -
             jStat.gammaln(b) + a * Math.log(x) + b *
             Math.log(1 - x));
  if (x < 0 || x > 1)
    return false;
  if (x < (a + 1) / (a + b + 2))
    // Use continued fraction directly.
    return bt * jStat.betacf(x, a, b) / a;
  // else use continued fraction after making the symmetry transformation.
  return 1 - bt * jStat.betacf(1 - x, b, a) / b;
};


// Returns a normal deviate (mu=0, sigma=1).
// If n and m are specified it returns a object of normal deviates.
jStat.randn = function randn(n, m) {
  var u, v, x, y, q;
  if (!m)
    m = n;
  if (n)
    return jStat.create(n, m, function() { return jStat.randn(); });
  do {
    u = jStat._random_fn();
    v = 1.7156 * (jStat._random_fn() - 0.5);
    x = u - 0.449871;
    y = Math.abs(v) + 0.386595;
    q = x * x + y * (0.19600 * y - 0.25472 * x);
  } while (q > 0.27597 && (q > 0.27846 || v * v > -4 * Math.log(u) * u * u));
  return v / u;
};


// Returns a gamma deviate by the method of Marsaglia and Tsang.
jStat.randg = function randg(shape, n, m) {
  var oalph = shape;
  var a1, a2, u, v, x, mat;
  if (!m)
    m = n;
  if (!shape)
    shape = 1;
  if (n) {
    mat = jStat.zeros(n,m);
    mat.alter(function() { return jStat.randg(shape); });
    return mat;
  }
  if (shape < 1)
    shape += 1;
  a1 = shape - 1 / 3;
  a2 = 1 / Math.sqrt(9 * a1);
  do {
    do {
      x = jStat.randn();
      v = 1 + a2 * x;
    } while(v <= 0);
    v = v * v * v;
    u = jStat._random_fn();
  } while(u > 1 - 0.331 * Math.pow(x, 4) &&
          Math.log(u) > 0.5 * x*x + a1 * (1 - v + Math.log(v)));
  // alpha > 1
  if (shape == oalph)
    return a1 * v;
  // alpha < 1
  do {
    u = jStat._random_fn();
  } while(u === 0);
  return Math.pow(u, 1 / oalph) * a1 * v;
};


// making use of static methods on the instance
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jStat.fn[passfunc] = function() {
      return jStat(
          jStat.map(this, function(value) { return jStat[passfunc](value); }));
    }
  })(funcs[i]);
})('gammaln gammafn factorial factorialln'.split(' '));


(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jStat.fn[passfunc] = function() {
      return jStat(jStat[passfunc].apply(null, arguments));
    };
  })(funcs[i]);
})('randn'.split(' '));

}(jStat, Math));
(function(jStat, Math) {

// generate all distribution instance methods
(function(list) {
  for (var i = 0; i < list.length; i++) (function(func) {
    // distribution instance method
    jStat[func] = function(a, b, c) {
      if (!(this instanceof arguments.callee))
        return new arguments.callee(a, b, c);
      this._a = a;
      this._b = b;
      this._c = c;
      return this;
    };
    // distribution method to be used on a jStat instance
    jStat.fn[func] = function(a, b, c) {
      var newthis = jStat[func](a, b, c);
      newthis.data = this;
      return newthis;
    };
    // sample instance method
    jStat[func].prototype.sample = function(arr) {
      var a = this._a;
      var b = this._b;
      var c = this._c;
      if (arr)
        return jStat.alter(arr, function() {
          return jStat[func].sample(a, b, c);
        });
      else
        return jStat[func].sample(a, b, c);
    };
    // generate the pdf, cdf and inv instance methods
    (function(vals) {
      for (var i = 0; i < vals.length; i++) (function(fnfunc) {
        jStat[func].prototype[fnfunc] = function(x) {
          var a = this._a;
          var b = this._b;
          var c = this._c;
          if (!x && x !== 0)
            x = this.data;
          if (typeof x !== 'number') {
            return jStat.fn.map.call(x, function(x) {
              return jStat[func][fnfunc](x, a, b, c);
            });
          }
          return jStat[func][fnfunc](x, a, b, c);
        };
      })(vals[i]);
    })('pdf cdf inv'.split(' '));
    // generate the mean, median, mode and variance instance methods
    (function(vals) {
      for (var i = 0; i < vals.length; i++) (function(fnfunc) {
        jStat[func].prototype[fnfunc] = function() {
          return jStat[func][fnfunc](this._a, this._b, this._c);
        };
      })(vals[i]);
    })('mean median mode variance'.split(' '));
  })(list[i]);
})((
  'beta centralF cauchy chisquare exponential gamma invgamma kumaraswamy ' +
  'laplace lognormal noncentralt normal pareto studentt weibull uniform ' +
  'binomial negbin hypgeom poisson triangular tukey arcsine'
).split(' '));



// extend beta function with static methods
jStat.extend(jStat.beta, {
  pdf: function pdf(x, alpha, beta) {
    // PDF is zero outside the support
    if (x > 1 || x < 0)
      return 0;
    // PDF is one for the uniform case
    if (alpha == 1 && beta == 1)
      return 1;

    if (alpha < 512 && beta < 512) {
      return (Math.pow(x, alpha - 1) * Math.pow(1 - x, beta - 1)) /
          jStat.betafn(alpha, beta);
    } else {
      return Math.exp((alpha - 1) * Math.log(x) +
                      (beta - 1) * Math.log(1 - x) -
                      jStat.betaln(alpha, beta));
    }
  },

  cdf: function cdf(x, alpha, beta) {
    return (x > 1 || x < 0) ? (x > 1) * 1 : jStat.ibeta(x, alpha, beta);
  },

  inv: function inv(x, alpha, beta) {
    return jStat.ibetainv(x, alpha, beta);
  },

  mean: function mean(alpha, beta) {
    return alpha / (alpha + beta);
  },

  median: function median(alpha, beta) {
    return jStat.ibetainv(0.5, alpha, beta);
  },

  mode: function mode(alpha, beta) {
    return (alpha - 1 ) / ( alpha + beta - 2);
  },

  // return a random sample
  sample: function sample(alpha, beta) {
    var u = jStat.randg(alpha);
    return u / (u + jStat.randg(beta));
  },

  variance: function variance(alpha, beta) {
    return (alpha * beta) / (Math.pow(alpha + beta, 2) * (alpha + beta + 1));
  }
});

// extend F function with static methods
jStat.extend(jStat.centralF, {
  // This implementation of the pdf function avoids float overflow
  // See the way that R calculates this value:
  // https://svn.r-project.org/R/trunk/src/nmath/df.c
  pdf: function pdf(x, df1, df2) {
    var p, q, f;

    if (x < 0)
      return 0;

    if (df1 <= 2) {
      if (x === 0 && df1 < 2) {
        return Infinity;
      }
      if (x === 0 && df1 === 2) {
        return 1;
      }
      return (1 / jStat.betafn(df1 / 2, df2 / 2)) *
              Math.pow(df1 / df2, df1 / 2) *
              Math.pow(x, (df1/2) - 1) *
              Math.pow((1 + (df1 / df2) * x), -(df1 + df2) / 2);
    }

    p = (df1 * x) / (df2 + x * df1);
    q = df2 / (df2 + x * df1);
    f = df1 * q / 2.0;
    return f * jStat.binomial.pdf((df1 - 2) / 2, (df1 + df2 - 2) / 2, p);
  },

  cdf: function cdf(x, df1, df2) {
    if (x < 0)
      return 0;
    return jStat.ibeta((df1 * x) / (df1 * x + df2), df1 / 2, df2 / 2);
  },

  inv: function inv(x, df1, df2) {
    return df2 / (df1 * (1 / jStat.ibetainv(x, df1 / 2, df2 / 2) - 1));
  },

  mean: function mean(df1, df2) {
    return (df2 > 2) ? df2 / (df2 - 2) : undefined;
  },

  mode: function mode(df1, df2) {
    return (df1 > 2) ? (df2 * (df1 - 2)) / (df1 * (df2 + 2)) : undefined;
  },

  // return a random sample
  sample: function sample(df1, df2) {
    var x1 = jStat.randg(df1 / 2) * 2;
    var x2 = jStat.randg(df2 / 2) * 2;
    return (x1 / df1) / (x2 / df2);
  },

  variance: function variance(df1, df2) {
    if (df2 <= 4)
      return undefined;
    return 2 * df2 * df2 * (df1 + df2 - 2) /
        (df1 * (df2 - 2) * (df2 - 2) * (df2 - 4));
  }
});


// extend cauchy function with static methods
jStat.extend(jStat.cauchy, {
  pdf: function pdf(x, local, scale) {
    if (scale < 0) { return 0; }

    return (scale / (Math.pow(x - local, 2) + Math.pow(scale, 2))) / Math.PI;
  },

  cdf: function cdf(x, local, scale) {
    return Math.atan((x - local) / scale) / Math.PI + 0.5;
  },

  inv: function(p, local, scale) {
    return local + scale * Math.tan(Math.PI * (p - 0.5));
  },

  median: function median(local/*, scale*/) {
    return local;
  },

  mode: function mode(local/*, scale*/) {
    return local;
  },

  sample: function sample(local, scale) {
    return jStat.randn() *
        Math.sqrt(1 / (2 * jStat.randg(0.5))) * scale + local;
  }
});



// extend chisquare function with static methods
jStat.extend(jStat.chisquare, {
  pdf: function pdf(x, dof) {
    if (x < 0)
      return 0;
    return (x === 0 && dof === 2) ? 0.5 :
        Math.exp((dof / 2 - 1) * Math.log(x) - x / 2 - (dof / 2) *
                 Math.log(2) - jStat.gammaln(dof / 2));
  },

  cdf: function cdf(x, dof) {
    if (x < 0)
      return 0;
    return jStat.lowRegGamma(dof / 2, x / 2);
  },

  inv: function(p, dof) {
    return 2 * jStat.gammapinv(p, 0.5 * dof);
  },

  mean : function(dof) {
    return dof;
  },

  // TODO: this is an approximation (is there a better way?)
  median: function median(dof) {
    return dof * Math.pow(1 - (2 / (9 * dof)), 3);
  },

  mode: function mode(dof) {
    return (dof - 2 > 0) ? dof - 2 : 0;
  },

  sample: function sample(dof) {
    return jStat.randg(dof / 2) * 2;
  },

  variance: function variance(dof) {
    return 2 * dof;
  }
});



// extend exponential function with static methods
jStat.extend(jStat.exponential, {
  pdf: function pdf(x, rate) {
    return x < 0 ? 0 : rate * Math.exp(-rate * x);
  },

  cdf: function cdf(x, rate) {
    return x < 0 ? 0 : 1 - Math.exp(-rate * x);
  },

  inv: function(p, rate) {
    return -Math.log(1 - p) / rate;
  },

  mean : function(rate) {
    return 1 / rate;
  },

  median: function (rate) {
    return (1 / rate) * Math.log(2);
  },

  mode: function mode(/*rate*/) {
    return 0;
  },

  sample: function sample(rate) {
    return -1 / rate * Math.log(jStat._random_fn());
  },

  variance : function(rate) {
    return Math.pow(rate, -2);
  }
});



// extend gamma function with static methods
jStat.extend(jStat.gamma, {
  pdf: function pdf(x, shape, scale) {
    if (x < 0)
      return 0;
    return (x === 0 && shape === 1) ? 1 / scale :
            Math.exp((shape - 1) * Math.log(x) - x / scale -
                    jStat.gammaln(shape) - shape * Math.log(scale));
  },

  cdf: function cdf(x, shape, scale) {
    if (x < 0)
      return 0;
    return jStat.lowRegGamma(shape, x / scale);
  },

  inv: function(p, shape, scale) {
    return jStat.gammapinv(p, shape) * scale;
  },

  mean : function(shape, scale) {
    return shape * scale;
  },

  mode: function mode(shape, scale) {
    if(shape > 1) return (shape - 1) * scale;
    return undefined;
  },

  sample: function sample(shape, scale) {
    return jStat.randg(shape) * scale;
  },

  variance: function variance(shape, scale) {
    return shape * scale * scale;
  }
});

// extend inverse gamma function with static methods
jStat.extend(jStat.invgamma, {
  pdf: function pdf(x, shape, scale) {
    if (x <= 0)
      return 0;
    return Math.exp(-(shape + 1) * Math.log(x) - scale / x -
                    jStat.gammaln(shape) + shape * Math.log(scale));
  },

  cdf: function cdf(x, shape, scale) {
    if (x <= 0)
      return 0;
    return 1 - jStat.lowRegGamma(shape, scale / x);
  },

  inv: function(p, shape, scale) {
    return scale / jStat.gammapinv(1 - p, shape);
  },

  mean : function(shape, scale) {
    return (shape > 1) ? scale / (shape - 1) : undefined;
  },

  mode: function mode(shape, scale) {
    return scale / (shape + 1);
  },

  sample: function sample(shape, scale) {
    return scale / jStat.randg(shape);
  },

  variance: function variance(shape, scale) {
    if (shape <= 2)
      return undefined;
    return scale * scale / ((shape - 1) * (shape - 1) * (shape - 2));
  }
});


// extend kumaraswamy function with static methods
jStat.extend(jStat.kumaraswamy, {
  pdf: function pdf(x, alpha, beta) {
    if (x === 0 && alpha === 1)
      return beta;
    else if (x === 1 && beta === 1)
      return alpha;
    return Math.exp(Math.log(alpha) + Math.log(beta) + (alpha - 1) *
                    Math.log(x) + (beta - 1) *
                    Math.log(1 - Math.pow(x, alpha)));
  },

  cdf: function cdf(x, alpha, beta) {
    if (x < 0)
      return 0;
    else if (x > 1)
      return 1;
    return (1 - Math.pow(1 - Math.pow(x, alpha), beta));
  },

  inv: function inv(p, alpha, beta) {
    return Math.pow(1 - Math.pow(1 - p, 1 / beta), 1 / alpha);
  },

  mean : function(alpha, beta) {
    return (beta * jStat.gammafn(1 + 1 / alpha) *
            jStat.gammafn(beta)) / (jStat.gammafn(1 + 1 / alpha + beta));
  },

  median: function median(alpha, beta) {
    return Math.pow(1 - Math.pow(2, -1 / beta), 1 / alpha);
  },

  mode: function mode(alpha, beta) {
    if (!(alpha >= 1 && beta >= 1 && (alpha !== 1 && beta !== 1)))
      return undefined;
    return Math.pow((alpha - 1) / (alpha * beta - 1), 1 / alpha);
  },

  variance: function variance(/*alpha, beta*/) {
    throw new Error('variance not yet implemented');
    // TODO: complete this
  }
});



// extend lognormal function with static methods
jStat.extend(jStat.lognormal, {
  pdf: function pdf(x, mu, sigma) {
    if (x <= 0)
      return 0;
    return Math.exp(-Math.log(x) - 0.5 * Math.log(2 * Math.PI) -
                    Math.log(sigma) - Math.pow(Math.log(x) - mu, 2) /
                    (2 * sigma * sigma));
  },

  cdf: function cdf(x, mu, sigma) {
    if (x < 0)
      return 0;
    return 0.5 +
        (0.5 * jStat.erf((Math.log(x) - mu) / Math.sqrt(2 * sigma * sigma)));
  },

  inv: function(p, mu, sigma) {
    return Math.exp(-1.41421356237309505 * sigma * jStat.erfcinv(2 * p) + mu);
  },

  mean: function mean(mu, sigma) {
    return Math.exp(mu + sigma * sigma / 2);
  },

  median: function median(mu/*, sigma*/) {
    return Math.exp(mu);
  },

  mode: function mode(mu, sigma) {
    return Math.exp(mu - sigma * sigma);
  },

  sample: function sample(mu, sigma) {
    return Math.exp(jStat.randn() * sigma + mu);
  },

  variance: function variance(mu, sigma) {
    return (Math.exp(sigma * sigma) - 1) * Math.exp(2 * mu + sigma * sigma);
  }
});



// extend noncentralt function with static methods
jStat.extend(jStat.noncentralt, {
  pdf: function pdf(x, dof, ncp) {
    var tol = 1e-14;
    if (Math.abs(ncp) < tol)  // ncp approx 0; use student-t
      return jStat.studentt.pdf(x, dof)

    if (Math.abs(x) < tol) {  // different formula for x == 0
      return Math.exp(jStat.gammaln((dof + 1) / 2) - ncp * ncp / 2 -
                      0.5 * Math.log(Math.PI * dof) - jStat.gammaln(dof / 2));
    }

    // formula for x != 0
    return dof / x *
        (jStat.noncentralt.cdf(x * Math.sqrt(1 + 2 / dof), dof+2, ncp) -
         jStat.noncentralt.cdf(x, dof, ncp));
  },

  cdf: function cdf(x, dof, ncp) {
    var tol = 1e-14;
    var min_iterations = 200;

    if (Math.abs(ncp) < tol)  // ncp approx 0; use student-t
      return jStat.studentt.cdf(x, dof);

    // turn negative x into positive and flip result afterwards
    var flip = false;
    if (x < 0) {
      flip = true;
      ncp = -ncp;
    }

    var prob = jStat.normal.cdf(-ncp, 0, 1);
    var value = tol + 1;
    // use value at last two steps to determine convergence
    var lastvalue = value;
    var y = x * x / (x * x + dof);
    var j = 0;
    var p = Math.exp(-ncp * ncp / 2);
    var q = Math.exp(-ncp * ncp / 2 - 0.5 * Math.log(2) -
                     jStat.gammaln(3 / 2)) * ncp;
    while (j < min_iterations || lastvalue > tol || value > tol) {
      lastvalue = value;
      if (j > 0) {
        p *= (ncp * ncp) / (2 * j);
        q *= (ncp * ncp) / (2 * (j + 1 / 2));
      }
      value = p * jStat.beta.cdf(y, j + 0.5, dof / 2) +
          q * jStat.beta.cdf(y, j+1, dof/2);
      prob += 0.5 * value;
      j++;
    }

    return flip ? (1 - prob) : prob;
  }
});


// extend normal function with static methods
jStat.extend(jStat.normal, {
  pdf: function pdf(x, mean, std) {
    return Math.exp(-0.5 * Math.log(2 * Math.PI) -
                    Math.log(std) - Math.pow(x - mean, 2) / (2 * std * std));
  },

  cdf: function cdf(x, mean, std) {
    return 0.5 * (1 + jStat.erf((x - mean) / Math.sqrt(2 * std * std)));
  },

  inv: function(p, mean, std) {
    return -1.41421356237309505 * std * jStat.erfcinv(2 * p) + mean;
  },

  mean : function(mean/*, std*/) {
    return mean;
  },

  median: function median(mean/*, std*/) {
    return mean;
  },

  mode: function (mean/*, std*/) {
    return mean;
  },

  sample: function sample(mean, std) {
    return jStat.randn() * std + mean;
  },

  variance : function(mean, std) {
    return std * std;
  }
});



// extend pareto function with static methods
jStat.extend(jStat.pareto, {
  pdf: function pdf(x, scale, shape) {
    if (x < scale)
      return 0;
    return (shape * Math.pow(scale, shape)) / Math.pow(x, shape + 1);
  },

  cdf: function cdf(x, scale, shape) {
    if (x < scale)
      return 0;
    return 1 - Math.pow(scale / x, shape);
  },

  inv: function inv(p, scale, shape) {
    return scale / Math.pow(1 - p, 1 / shape);
  },

  mean: function mean(scale, shape) {
    if (shape <= 1)
      return undefined;
    return (shape * Math.pow(scale, shape)) / (shape - 1);
  },

  median: function median(scale, shape) {
    return scale * (shape * Math.SQRT2);
  },

  mode: function mode(scale/*, shape*/) {
    return scale;
  },

  variance : function(scale, shape) {
    if (shape <= 2)
      return undefined;
    return (scale*scale * shape) / (Math.pow(shape - 1, 2) * (shape - 2));
  }
});



// extend studentt function with static methods
jStat.extend(jStat.studentt, {
  pdf: function pdf(x, dof) {
    dof = dof > 1e100 ? 1e100 : dof;
    return (1/(Math.sqrt(dof) * jStat.betafn(0.5, dof/2))) *
        Math.pow(1 + ((x * x) / dof), -((dof + 1) / 2));
  },

  cdf: function cdf(x, dof) {
    var dof2 = dof / 2;
    return jStat.ibeta((x + Math.sqrt(x * x + dof)) /
                       (2 * Math.sqrt(x * x + dof)), dof2, dof2);
  },

  inv: function(p, dof) {
    var x = jStat.ibetainv(2 * Math.min(p, 1 - p), 0.5 * dof, 0.5);
    x = Math.sqrt(dof * (1 - x) / x);
    return (p > 0.5) ? x : -x;
  },

  mean: function mean(dof) {
    return (dof > 1) ? 0 : undefined;
  },

  median: function median(/*dof*/) {
    return 0;
  },

  mode: function mode(/*dof*/) {
    return 0;
  },

  sample: function sample(dof) {
    return jStat.randn() * Math.sqrt(dof / (2 * jStat.randg(dof / 2)));
  },

  variance: function variance(dof) {
    return (dof  > 2) ? dof / (dof - 2) : (dof > 1) ? Infinity : undefined;
  }
});



// extend weibull function with static methods
jStat.extend(jStat.weibull, {
  pdf: function pdf(x, scale, shape) {
    if (x < 0 || scale < 0 || shape < 0)
      return 0;
    return (shape / scale) * Math.pow((x / scale), (shape - 1)) *
        Math.exp(-(Math.pow((x / scale), shape)));
  },

  cdf: function cdf(x, scale, shape) {
    return x < 0 ? 0 : 1 - Math.exp(-Math.pow((x / scale), shape));
  },

  inv: function(p, scale, shape) {
    return scale * Math.pow(-Math.log(1 - p), 1 / shape);
  },

  mean : function(scale, shape) {
    return scale * jStat.gammafn(1 + 1 / shape);
  },

  median: function median(scale, shape) {
    return scale * Math.pow(Math.log(2), 1 / shape);
  },

  mode: function mode(scale, shape) {
    if (shape <= 1)
      return 0;
    return scale * Math.pow((shape - 1) / shape, 1 / shape);
  },

  sample: function sample(scale, shape) {
    return scale * Math.pow(-Math.log(jStat._random_fn()), 1 / shape);
  },

  variance: function variance(scale, shape) {
    return scale * scale * jStat.gammafn(1 + 2 / shape) -
        Math.pow(jStat.weibull.mean(scale, shape), 2);
  }
});



// extend uniform function with static methods
jStat.extend(jStat.uniform, {
  pdf: function pdf(x, a, b) {
    return (x < a || x > b) ? 0 : 1 / (b - a);
  },

  cdf: function cdf(x, a, b) {
    if (x < a)
      return 0;
    else if (x < b)
      return (x - a) / (b - a);
    return 1;
  },

  inv: function(p, a, b) {
    return a + (p * (b - a));
  },

  mean: function mean(a, b) {
    return 0.5 * (a + b);
  },

  median: function median(a, b) {
    return jStat.mean(a, b);
  },

  mode: function mode(/*a, b*/) {
    throw new Error('mode is not yet implemented');
  },

  sample: function sample(a, b) {
    return (a / 2 + b / 2) + (b / 2 - a / 2) * (2 * jStat._random_fn() - 1);
  },

  variance: function variance(a, b) {
    return Math.pow(b - a, 2) / 12;
  }
});


// Got this from http://www.math.ucla.edu/~tom/distributions/binomial.html
function betinc(x, a, b, eps) {
  var a0 = 0;
  var b0 = 1;
  var a1 = 1;
  var b1 = 1;
  var m9 = 0;
  var a2 = 0;
  var c9;

  while (Math.abs((a1 - a2) / a1) > eps) {
    a2 = a1;
    c9 = -(a + m9) * (a + b + m9) * x / (a + 2 * m9) / (a + 2 * m9 + 1);
    a0 = a1 + c9 * a0;
    b0 = b1 + c9 * b0;
    m9 = m9 + 1;
    c9 = m9 * (b - m9) * x / (a + 2 * m9 - 1) / (a + 2 * m9);
    a1 = a0 + c9 * a1;
    b1 = b0 + c9 * b1;
    a0 = a0 / b1;
    b0 = b0 / b1;
    a1 = a1 / b1;
    b1 = 1;
  }

  return a1 / a;
}


// extend uniform function with static methods
jStat.extend(jStat.binomial, {
  pdf: function pdf(k, n, p) {
    return (p === 0 || p === 1) ?
      ((n * p) === k ? 1 : 0) :
      jStat.combination(n, k) * Math.pow(p, k) * Math.pow(1 - p, n - k);
  },

  cdf: function cdf(x, n, p) {
    var betacdf;
    var eps = 1e-10;

    if (x < 0)
      return 0;
    if (x >= n)
      return 1;
    if (p < 0 || p > 1 || n <= 0)
      return NaN;

    x = Math.floor(x);
    var z = p;
    var a = x + 1;
    var b = n - x;
    var s = a + b;
    var bt = Math.exp(jStat.gammaln(s) - jStat.gammaln(b) -
                      jStat.gammaln(a) + a * Math.log(z) + b * Math.log(1 - z));

    if (z < (a + 1) / (s + 2))
      betacdf = bt * betinc(z, a, b, eps);
    else
      betacdf = 1 - bt * betinc(1 - z, b, a, eps);

    return Math.round((1 - betacdf) * (1 / eps)) / (1 / eps);
  }
});



// extend uniform function with static methods
jStat.extend(jStat.negbin, {
  pdf: function pdf(k, r, p) {
    if (k !== k >>> 0)
      return false;
    if (k < 0)
      return 0;
    return jStat.combination(k + r - 1, r - 1) *
        Math.pow(1 - p, k) * Math.pow(p, r);
  },

  cdf: function cdf(x, r, p) {
    var sum = 0,
    k = 0;
    if (x < 0) return 0;
    for (; k <= x; k++) {
      sum += jStat.negbin.pdf(k, r, p);
    }
    return sum;
  }
});



// extend uniform function with static methods
jStat.extend(jStat.hypgeom, {
  pdf: function pdf(k, N, m, n) {
    // Hypergeometric PDF.

    // A simplification of the CDF algorithm below.

    // k = number of successes drawn
    // N = population size
    // m = number of successes in population
    // n = number of items drawn from population

    if(k !== k | 0) {
      return false;
    } else if(k < 0 || k < m - (N - n)) {
      // It's impossible to have this few successes drawn.
      return 0;
    } else if(k > n || k > m) {
      // It's impossible to have this many successes drawn.
      return 0;
    } else if (m * 2 > N) {
      // More than half the population is successes.

      if(n * 2 > N) {
        // More than half the population is sampled.

        return jStat.hypgeom.pdf(N - m - n + k, N, N - m, N - n)
      } else {
        // Half or less of the population is sampled.

        return jStat.hypgeom.pdf(n - k, N, N - m, n);
      }

    } else if(n * 2 > N) {
      // Half or less is successes.

      return jStat.hypgeom.pdf(m - k, N, m, N - n);

    } else if(m < n) {
      // We want to have the number of things sampled to be less than the
      // successes available. So swap the definitions of successful and sampled.
      return jStat.hypgeom.pdf(k, N, n, m);
    } else {
      // If we get here, half or less of the population was sampled, half or
      // less of it was successes, and we had fewer sampled things than
      // successes. Now we can do this complicated iterative algorithm in an
      // efficient way.

      // The basic premise of the algorithm is that we partially normalize our
      // intermediate product to keep it in a numerically good region, and then
      // finish the normalization at the end.

      // This variable holds the scaled probability of the current number of
      // successes.
      var scaledPDF = 1;

      // This keeps track of how much we have normalized.
      var samplesDone = 0;

      for(var i = 0; i < k; i++) {
        // For every possible number of successes up to that observed...

        while(scaledPDF > 1 && samplesDone < n) {
          // Intermediate result is growing too big. Apply some of the
          // normalization to shrink everything.

          scaledPDF *= 1 - (m / (N - samplesDone));

          // Say we've normalized by this sample already.
          samplesDone++;
        }

        // Work out the partially-normalized hypergeometric PDF for the next
        // number of successes
        scaledPDF *= (n - i) * (m - i) / ((i + 1) * (N - m - n + i + 1));
      }

      for(; samplesDone < n; samplesDone++) {
        // Apply all the rest of the normalization
        scaledPDF *= 1 - (m / (N - samplesDone));
      }

      // Bound answer sanely before returning.
      return Math.min(1, Math.max(0, scaledPDF));
    }
  },

  cdf: function cdf(x, N, m, n) {
    // Hypergeometric CDF.

    // This algorithm is due to Prof. Thomas S. Ferguson, <tom@math.ucla.edu>,
    // and comes from his hypergeometric test calculator at
    // <http://www.math.ucla.edu/~tom/distributions/Hypergeometric.html>.

    // x = number of successes drawn
    // N = population size
    // m = number of successes in population
    // n = number of items drawn from population

    if(x < 0 || x < m - (N - n)) {
      // It's impossible to have this few successes drawn or fewer.
      return 0;
    } else if(x >= n || x >= m) {
      // We will always have this many successes or fewer.
      return 1;
    } else if (m * 2 > N) {
      // More than half the population is successes.

      if(n * 2 > N) {
        // More than half the population is sampled.

        return jStat.hypgeom.cdf(N - m - n + x, N, N - m, N - n)
      } else {
        // Half or less of the population is sampled.

        return 1 - jStat.hypgeom.cdf(n - x - 1, N, N - m, n);
      }

    } else if(n * 2 > N) {
      // Half or less is successes.

      return 1 - jStat.hypgeom.cdf(m - x - 1, N, m, N - n);

    } else if(m < n) {
      // We want to have the number of things sampled to be less than the
      // successes available. So swap the definitions of successful and sampled.
      return jStat.hypgeom.cdf(x, N, n, m);
    } else {
      // If we get here, half or less of the population was sampled, half or
      // less of it was successes, and we had fewer sampled things than
      // successes. Now we can do this complicated iterative algorithm in an
      // efficient way.

      // The basic premise of the algorithm is that we partially normalize our
      // intermediate sum to keep it in a numerically good region, and then
      // finish the normalization at the end.

      // Holds the intermediate, scaled total CDF.
      var scaledCDF = 1;

      // This variable holds the scaled probability of the current number of
      // successes.
      var scaledPDF = 1;

      // This keeps track of how much we have normalized.
      var samplesDone = 0;

      for(var i = 0; i < x; i++) {
        // For every possible number of successes up to that observed...

        while(scaledCDF > 1 && samplesDone < n) {
          // Intermediate result is growing too big. Apply some of the
          // normalization to shrink everything.

          var factor = 1 - (m / (N - samplesDone));

          scaledPDF *= factor;
          scaledCDF *= factor;

          // Say we've normalized by this sample already.
          samplesDone++;
        }

        // Work out the partially-normalized hypergeometric PDF for the next
        // number of successes
        scaledPDF *= (n - i) * (m - i) / ((i + 1) * (N - m - n + i + 1));

        // Add to the CDF answer.
        scaledCDF += scaledPDF;
      }

      for(; samplesDone < n; samplesDone++) {
        // Apply all the rest of the normalization
        scaledCDF *= 1 - (m / (N - samplesDone));
      }

      // Bound answer sanely before returning.
      return Math.min(1, Math.max(0, scaledCDF));
    }
  }
});



// extend uniform function with static methods
jStat.extend(jStat.poisson, {
  pdf: function pdf(k, l) {
    if (l < 0 || (k % 1) !== 0 || k < 0) {
      return 0;
    }

    return Math.pow(l, k) * Math.exp(-l) / jStat.factorial(k);
  },

  cdf: function cdf(x, l) {
    var sumarr = [],
    k = 0;
    if (x < 0) return 0;
    for (; k <= x; k++) {
      sumarr.push(jStat.poisson.pdf(k, l));
    }
    return jStat.sum(sumarr);
  },

  mean : function(l) {
    return l;
  },

  variance : function(l) {
    return l;
  },

  sampleSmall: function sampleSmall(l) {
    var p = 1, k = 0, L = Math.exp(-l);
    do {
      k++;
      p *= jStat._random_fn();
    } while (p > L);
    return k - 1;
  },

  sampleLarge: function sampleLarge(l) {
    var lam = l;
    var k;
    var U, V, slam, loglam, a, b, invalpha, vr, us;

    slam = Math.sqrt(lam);
    loglam = Math.log(lam);
    b = 0.931 + 2.53 * slam;
    a = -0.059 + 0.02483 * b;
    invalpha = 1.1239 + 1.1328 / (b - 3.4);
    vr = 0.9277 - 3.6224 / (b - 2);

    while (1) {
      U = Math.random() - 0.5;
      V = Math.random();
      us = 0.5 - Math.abs(U);
      k = Math.floor((2 * a / us + b) * U + lam + 0.43);
      if ((us >= 0.07) && (V <= vr)) {
          return k;
      }
      if ((k < 0) || ((us < 0.013) && (V > us))) {
          continue;
      }
      /* log(V) == log(0.0) ok here */
      /* if U==0.0 so that us==0.0, log is ok since always returns */
      if ((Math.log(V) + Math.log(invalpha) - Math.log(a / (us * us) + b)) <= (-lam + k * loglam - jStat.loggam(k + 1))) {
          return k;
      }
    }
  },

  sample: function sample(l) {
    if (l < 10)
      return this.sampleSmall(l);
    else
      return this.sampleLarge(l);
  }
});

// extend triangular function with static methods
jStat.extend(jStat.triangular, {
  pdf: function pdf(x, a, b, c) {
    if (b <= a || c < a || c > b) {
      return NaN;
    } else {
      if (x < a || x > b) {
        return 0;
      } else if (x < c) {
          return (2 * (x - a)) / ((b - a) * (c - a));
      } else if (x === c) {
          return (2 / (b - a));
      } else { // x > c
          return (2 * (b - x)) / ((b - a) * (b - c));
      }
    }
  },

  cdf: function cdf(x, a, b, c) {
    if (b <= a || c < a || c > b)
      return NaN;
    if (x <= a)
      return 0;
    else if (x >= b)
      return 1;
    if (x <= c)
      return Math.pow(x - a, 2) / ((b - a) * (c - a));
    else // x > c
      return 1 - Math.pow(b - x, 2) / ((b - a) * (b - c));
  },

  inv: function inv(p, a, b, c) {
    if (b <= a || c < a || c > b) {
      return NaN;
    } else {
      if (p <= ((c - a) / (b - a))) {
        return a + (b - a) * Math.sqrt(p * ((c - a) / (b - a)));
      } else { // p > ((c - a) / (b - a))
        return a + (b - a) * (1 - Math.sqrt((1 - p) * (1 - ((c - a) / (b - a)))));
      }
    }
  },

  mean: function mean(a, b, c) {
    return (a + b + c) / 3;
  },

  median: function median(a, b, c) {
    if (c <= (a + b) / 2) {
      return b - Math.sqrt((b - a) * (b - c)) / Math.sqrt(2);
    } else if (c > (a + b) / 2) {
      return a + Math.sqrt((b - a) * (c - a)) / Math.sqrt(2);
    }
  },

  mode: function mode(a, b, c) {
    return c;
  },

  sample: function sample(a, b, c) {
    var u = jStat._random_fn();
    if (u < ((c - a) / (b - a)))
      return a + Math.sqrt(u * (b - a) * (c - a))
    return b - Math.sqrt((1 - u) * (b - a) * (b - c));
  },

  variance: function variance(a, b, c) {
    return (a * a + b * b + c * c - a * b - a * c - b * c) / 18;
  }
});


// extend arcsine function with static methods
jStat.extend(jStat.arcsine, {
  pdf: function pdf(x, a, b) {
    if (b <= a) return NaN;

    return (x <= a || x >= b) ? 0 :
      (2 / Math.PI) *
        Math.pow(Math.pow(b - a, 2) -
                  Math.pow(2 * x - a - b, 2), -0.5);
  },

  cdf: function cdf(x, a, b) {
    if (x < a)
      return 0;
    else if (x < b)
      return (2 / Math.PI) * Math.asin(Math.sqrt((x - a)/(b - a)));
    return 1;
  },

  inv: function(p, a, b) {
    return a + (0.5 - 0.5 * Math.cos(Math.PI * p)) * (b - a);
  },

  mean: function mean(a, b) {
    if (b <= a) return NaN;
    return (a + b) / 2;
  },

  median: function median(a, b) {
    if (b <= a) return NaN;
    return (a + b) / 2;
  },

  mode: function mode(/*a, b*/) {
    throw new Error('mode is not yet implemented');
  },

  sample: function sample(a, b) {
    return ((a + b) / 2) + ((b - a) / 2) *
      Math.sin(2 * Math.PI * jStat.uniform.sample(0, 1));
  },

  variance: function variance(a, b) {
    if (b <= a) return NaN;
    return Math.pow(b - a, 2) / 8;
  }
});


function laplaceSign(x) { return x / Math.abs(x); }

jStat.extend(jStat.laplace, {
  pdf: function pdf(x, mu, b) {
    return (b <= 0) ? 0 : (Math.exp(-Math.abs(x - mu) / b)) / (2 * b);
  },

  cdf: function cdf(x, mu, b) {
    if (b <= 0) { return 0; }

    if(x < mu) {
      return 0.5 * Math.exp((x - mu) / b);
    } else {
      return 1 - 0.5 * Math.exp(- (x - mu) / b);
    }
  },

  mean: function(mu/*, b*/) {
    return mu;
  },

  median: function(mu/*, b*/) {
    return mu;
  },

  mode: function(mu/*, b*/) {
    return mu;
  },

  variance: function(mu, b) {
    return 2 * b * b;
  },

  sample: function sample(mu, b) {
    var u = jStat._random_fn() - 0.5;

    return mu - (b * laplaceSign(u) * Math.log(1 - (2 * Math.abs(u))));
  }
});

function tukeyWprob(w, rr, cc) {
  var nleg = 12;
  var ihalf = 6;

  var C1 = -30;
  var C2 = -50;
  var C3 = 60;
  var bb   = 8;
  var wlar = 3;
  var wincr1 = 2;
  var wincr2 = 3;
  var xleg = [
    0.981560634246719250690549090149,
    0.904117256370474856678465866119,
    0.769902674194304687036893833213,
    0.587317954286617447296702418941,
    0.367831498998180193752691536644,
    0.125233408511468915472441369464
  ];
  var aleg = [
    0.047175336386511827194615961485,
    0.106939325995318430960254718194,
    0.160078328543346226334652529543,
    0.203167426723065921749064455810,
    0.233492536538354808760849898925,
    0.249147045813402785000562436043
  ];

  var qsqz = w * 0.5;

  // if w >= 16 then the integral lower bound (occurs for c=20)
  // is 0.99999999999995 so return a value of 1.

  if (qsqz >= bb)
    return 1.0;

  // find (f(w/2) - 1) ^ cc
  // (first term in integral of hartley's form).

  var pr_w = 2 * jStat.normal.cdf(qsqz, 0, 1, 1, 0) - 1; // erf(qsqz / M_SQRT2)
  // if pr_w ^ cc < 2e-22 then set pr_w = 0
  if (pr_w >= Math.exp(C2 / cc))
    pr_w = Math.pow(pr_w, cc);
  else
    pr_w = 0.0;

  // if w is large then the second component of the
  // integral is small, so fewer intervals are needed.

  var wincr;
  if (w > wlar)
    wincr = wincr1;
  else
    wincr = wincr2;

  // find the integral of second term of hartley's form
  // for the integral of the range for equal-length
  // intervals using legendre quadrature.  limits of
  // integration are from (w/2, 8).  two or three
  // equal-length intervals are used.

  // blb and bub are lower and upper limits of integration.

  var blb = qsqz;
  var binc = (bb - qsqz) / wincr;
  var bub = blb + binc;
  var einsum = 0.0;

  // integrate over each interval

  var cc1 = cc - 1.0;
  for (var wi = 1; wi <= wincr; wi++) {
    var elsum = 0.0;
    var a = 0.5 * (bub + blb);

    // legendre quadrature with order = nleg

    var b = 0.5 * (bub - blb);

    for (var jj = 1; jj <= nleg; jj++) {
      var j, xx;
      if (ihalf < jj) {
        j = (nleg - jj) + 1;
        xx = xleg[j-1];
      } else {
        j = jj;
        xx = -xleg[j-1];
      }
      var c = b * xx;
      var ac = a + c;

      // if exp(-qexpo/2) < 9e-14,
      // then doesn't contribute to integral

      var qexpo = ac * ac;
      if (qexpo > C3)
        break;

      var pplus = 2 * jStat.normal.cdf(ac, 0, 1, 1, 0);
      var pminus= 2 * jStat.normal.cdf(ac, w, 1, 1, 0);

      // if rinsum ^ (cc-1) < 9e-14,
      // then doesn't contribute to integral

      var rinsum = (pplus * 0.5) - (pminus * 0.5);
      if (rinsum >= Math.exp(C1 / cc1)) {
        rinsum = (aleg[j-1] * Math.exp(-(0.5 * qexpo))) * Math.pow(rinsum, cc1);
        elsum += rinsum;
      }
    }
    elsum *= (((2.0 * b) * cc) / Math.sqrt(2 * Math.PI));
    einsum += elsum;
    blb = bub;
    bub += binc;
  }

  // if pr_w ^ rr < 9e-14, then return 0
  pr_w += einsum;
  if (pr_w <= Math.exp(C1 / rr))
    return 0;

  pr_w = Math.pow(pr_w, rr);
  if (pr_w >= 1) // 1 was iMax was eps
    return 1;
  return pr_w;
}

function tukeyQinv(p, c, v) {
  var p0 = 0.322232421088;
  var q0 = 0.993484626060e-01;
  var p1 = -1.0;
  var q1 = 0.588581570495;
  var p2 = -0.342242088547;
  var q2 = 0.531103462366;
  var p3 = -0.204231210125;
  var q3 = 0.103537752850;
  var p4 = -0.453642210148e-04;
  var q4 = 0.38560700634e-02;
  var c1 = 0.8832;
  var c2 = 0.2368;
  var c3 = 1.214;
  var c4 = 1.208;
  var c5 = 1.4142;
  var vmax = 120.0;

  var ps = 0.5 - 0.5 * p;
  var yi = Math.sqrt(Math.log(1.0 / (ps * ps)));
  var t = yi + (((( yi * p4 + p3) * yi + p2) * yi + p1) * yi + p0)
     / (((( yi * q4 + q3) * yi + q2) * yi + q1) * yi + q0);
  if (v < vmax) t += (t * t * t + t) / v / 4.0;
  var q = c1 - c2 * t;
  if (v < vmax) q += -c3 / v + c4 * t / v;
  return t * (q * Math.log(c - 1.0) + c5);
}

jStat.extend(jStat.tukey, {
  cdf: function cdf(q, nmeans, df) {
    // Identical implementation as the R ptukey() function as of commit 68947
    var rr = 1;
    var cc = nmeans;

    var nlegq = 16;
    var ihalfq = 8;

    var eps1 = -30.0;
    var eps2 = 1.0e-14;
    var dhaf  = 100.0;
    var dquar = 800.0;
    var deigh = 5000.0;
    var dlarg = 25000.0;
    var ulen1 = 1.0;
    var ulen2 = 0.5;
    var ulen3 = 0.25;
    var ulen4 = 0.125;
    var xlegq = [
      0.989400934991649932596154173450,
      0.944575023073232576077988415535,
      0.865631202387831743880467897712,
      0.755404408355003033895101194847,
      0.617876244402643748446671764049,
      0.458016777657227386342419442984,
      0.281603550779258913230460501460,
      0.950125098376374401853193354250e-1
    ];
    var alegq = [
      0.271524594117540948517805724560e-1,
      0.622535239386478928628438369944e-1,
      0.951585116824927848099251076022e-1,
      0.124628971255533872052476282192,
      0.149595988816576732081501730547,
      0.169156519395002538189312079030,
      0.182603415044923588866763667969,
      0.189450610455068496285396723208
    ];

    if (q <= 0)
      return 0;

    // df must be > 1
    // there must be at least two values

    if (df < 2 || rr < 1 || cc < 2) return NaN;

    if (!Number.isFinite(q))
      return 1;

    if (df > dlarg)
      return tukeyWprob(q, rr, cc);

    // calculate leading constant

    var f2 = df * 0.5;
    var f2lf = ((f2 * Math.log(df)) - (df * Math.log(2))) - jStat.gammaln(f2);
    var f21 = f2 - 1.0;

    // integral is divided into unit, half-unit, quarter-unit, or
    // eighth-unit length intervals depending on the value of the
    // degrees of freedom.

    var ff4 = df * 0.25;
    var ulen;
    if      (df <= dhaf)  ulen = ulen1;
    else if (df <= dquar) ulen = ulen2;
    else if (df <= deigh) ulen = ulen3;
    else                  ulen = ulen4;

    f2lf += Math.log(ulen);

    // integrate over each subinterval

    var ans = 0.0;

    for (var i = 1; i <= 50; i++) {
      var otsum = 0.0;

      // legendre quadrature with order = nlegq
      // nodes (stored in xlegq) are symmetric around zero.

      var twa1 = (2 * i - 1) * ulen;

      for (var jj = 1; jj <= nlegq; jj++) {
        var j, t1;
        if (ihalfq < jj) {
          j = jj - ihalfq - 1;
          t1 = (f2lf + (f21 * Math.log(twa1 + (xlegq[j] * ulen))))
              - (((xlegq[j] * ulen) + twa1) * ff4);
        } else {
          j = jj - 1;
          t1 = (f2lf + (f21 * Math.log(twa1 - (xlegq[j] * ulen))))
              + (((xlegq[j] * ulen) - twa1) * ff4);
        }

        // if exp(t1) < 9e-14, then doesn't contribute to integral
        var qsqz;
        if (t1 >= eps1) {
          if (ihalfq < jj) {
            qsqz = q * Math.sqrt(((xlegq[j] * ulen) + twa1) * 0.5);
          } else {
            qsqz = q * Math.sqrt(((-(xlegq[j] * ulen)) + twa1) * 0.5);
          }

          // call wprob to find integral of range portion

          var wprb = tukeyWprob(qsqz, rr, cc);
          var rotsum = (wprb * alegq[j]) * Math.exp(t1);
          otsum += rotsum;
        }
        // end legendre integral for interval i
        // L200:
      }

      // if integral for interval i < 1e-14, then stop.
      // However, in order to avoid small area under left tail,
      // at least  1 / ulen  intervals are calculated.
      if (i * ulen >= 1.0 && otsum <= eps2)
        break;

      // end of interval i
      // L330:

      ans += otsum;
    }

    if (otsum > eps2) { // not converged
      throw new Error('tukey.cdf failed to converge');
    }
    if (ans > 1)
      ans = 1;
    return ans;
  },

  inv: function(p, nmeans, df) {
    // Identical implementation as the R qtukey() function as of commit 68947
    var rr = 1;
    var cc = nmeans;

    var eps = 0.0001;
    var maxiter = 50;

    // df must be > 1 ; there must be at least two values
    if (df < 2 || rr < 1 || cc < 2) return NaN;

    if (p < 0 || p > 1) return NaN;
    if (p === 0) return 0;
    if (p === 1) return Infinity;

    // Initial value

    var x0 = tukeyQinv(p, cc, df);

    // Find prob(value < x0)

    var valx0 = jStat.tukey.cdf(x0, nmeans, df) - p;

    // Find the second iterate and prob(value < x1).
    // If the first iterate has probability value
    // exceeding p then second iterate is 1 less than
    // first iterate; otherwise it is 1 greater.

    var x1;
    if (valx0 > 0.0)
      x1 = Math.max(0.0, x0 - 1.0);
    else
      x1 = x0 + 1.0;
    var valx1 = jStat.tukey.cdf(x1, nmeans, df) - p;

    // Find new iterate

    var ans;
    for(var iter = 1; iter < maxiter; iter++) {
      ans = x1 - ((valx1 * (x1 - x0)) / (valx1 - valx0));
      valx0 = valx1;

      // New iterate must be >= 0

      x0 = x1;
      if (ans < 0.0) {
        ans = 0.0;
        valx1 = -p;
      }
      // Find prob(value < new iterate)

      valx1 = jStat.tukey.cdf(ans, nmeans, df) - p;
      x1 = ans;

      // If the difference between two successive
      // iterates is less than eps, stop

      var xabs = Math.abs(x1 - x0);
      if (xabs < eps)
        return ans;
    }

    throw new Error('tukey.inv failed to converge');
  }
});

}(jStat, Math));
/* Provides functions for the solution of linear system of equations, integration, extrapolation,
 * interpolation, eigenvalue problems, differential equations and PCA analysis. */

(function(jStat, Math) {

var push = Array.prototype.push;
var isArray = jStat.utils.isArray;

function isUsable(arg) {
  return isArray(arg) || arg instanceof jStat;
}

jStat.extend({

  // add a vector/matrix to a vector/matrix or scalar
  add: function add(arr, arg) {
    // check if arg is a vector or scalar
    if (isUsable(arg)) {
      if (!isUsable(arg[0])) arg = [ arg ];
      return jStat.map(arr, function(value, row, col) {
        return value + arg[row][col];
      });
    }
    return jStat.map(arr, function(value) { return value + arg; });
  },

  // subtract a vector or scalar from the vector
  subtract: function subtract(arr, arg) {
    // check if arg is a vector or scalar
    if (isUsable(arg)) {
      if (!isUsable(arg[0])) arg = [ arg ];
      return jStat.map(arr, function(value, row, col) {
        return value - arg[row][col] || 0;
      });
    }
    return jStat.map(arr, function(value) { return value - arg; });
  },

  // matrix division
  divide: function divide(arr, arg) {
    if (isUsable(arg)) {
      if (!isUsable(arg[0])) arg = [ arg ];
      return jStat.multiply(arr, jStat.inv(arg));
    }
    return jStat.map(arr, function(value) { return value / arg; });
  },

  // matrix multiplication
  multiply: function multiply(arr, arg) {
    var row, col, nrescols, sum, nrow, ncol, res, rescols;
    // eg: arr = 2 arg = 3 -> 6 for res[0][0] statement closure
    if (arr.length === undefined && arg.length === undefined) {
      return arr * arg;
    }
    nrow = arr.length,
    ncol = arr[0].length,
    res = jStat.zeros(nrow, nrescols = (isUsable(arg)) ? arg[0].length : ncol),
    rescols = 0;
    if (isUsable(arg)) {
      for (; rescols < nrescols; rescols++) {
        for (row = 0; row < nrow; row++) {
          sum = 0;
          for (col = 0; col < ncol; col++)
          sum += arr[row][col] * arg[col][rescols];
          res[row][rescols] = sum;
        }
      }
      return (nrow === 1 && rescols === 1) ? res[0][0] : res;
    }
    return jStat.map(arr, function(value) { return value * arg; });
  },

  // outer([1,2,3],[4,5,6])
  // ===
  // [[1],[2],[3]] times [[4,5,6]]
  // ->
  // [[4,5,6],[8,10,12],[12,15,18]]
  outer:function outer(A, B) {
    return jStat.multiply(A.map(function(t){ return [t] }), [B]);
  },


  // Returns the dot product of two matricies
  dot: function dot(arr, arg) {
    if (!isUsable(arr[0])) arr = [ arr ];
    if (!isUsable(arg[0])) arg = [ arg ];
    // convert column to row vector
    var left = (arr[0].length === 1 && arr.length !== 1) ? jStat.transpose(arr) : arr,
    right = (arg[0].length === 1 && arg.length !== 1) ? jStat.transpose(arg) : arg,
    res = [],
    row = 0,
    nrow = left.length,
    ncol = left[0].length,
    sum, col;
    for (; row < nrow; row++) {
      res[row] = [];
      sum = 0;
      for (col = 0; col < ncol; col++)
      sum += left[row][col] * right[row][col];
      res[row] = sum;
    }
    return (res.length === 1) ? res[0] : res;
  },

  // raise every element by a scalar
  pow: function pow(arr, arg) {
    return jStat.map(arr, function(value) { return Math.pow(value, arg); });
  },

  // exponentiate every element
  exp: function exp(arr) {
    return jStat.map(arr, function(value) { return Math.exp(value); });
  },

  // generate the natural log of every element
  log: function exp(arr) {
    return jStat.map(arr, function(value) { return Math.log(value); });
  },

  // generate the absolute values of the vector
  abs: function abs(arr) {
    return jStat.map(arr, function(value) { return Math.abs(value); });
  },

  // computes the p-norm of the vector
  // In the case that a matrix is passed, uses the first row as the vector
  norm: function norm(arr, p) {
    var nnorm = 0,
    i = 0;
    // check the p-value of the norm, and set for most common case
    if (isNaN(p)) p = 2;
    // check if multi-dimensional array, and make vector correction
    if (isUsable(arr[0])) arr = arr[0];
    // vector norm
    for (; i < arr.length; i++) {
      nnorm += Math.pow(Math.abs(arr[i]), p);
    }
    return Math.pow(nnorm, 1 / p);
  },

  // computes the angle between two vectors in rads
  // In case a matrix is passed, this uses the first row as the vector
  angle: function angle(arr, arg) {
    return Math.acos(jStat.dot(arr, arg) / (jStat.norm(arr) * jStat.norm(arg)));
  },

  // augment one matrix by another
  // Note: this function returns a matrix, not a jStat object
  aug: function aug(a, b) {
    var newarr = [];
    var i;
    for (i = 0; i < a.length; i++) {
      newarr.push(a[i].slice());
    }
    for (i = 0; i < newarr.length; i++) {
      push.apply(newarr[i], b[i]);
    }
    return newarr;
  },

  // The inv() function calculates the inverse of a matrix
  // Create the inverse by augmenting the matrix by the identity matrix of the
  // appropriate size, and then use G-J elimination on the augmented matrix.
  inv: function inv(a) {
    var rows = a.length;
    var cols = a[0].length;
    var b = jStat.identity(rows, cols);
    var c = jStat.gauss_jordan(a, b);
    var result = [];
    var i = 0;
    var j;

    //We need to copy the inverse portion to a new matrix to rid G-J artifacts
    for (; i < rows; i++) {
      result[i] = [];
      for (j = cols; j < c[0].length; j++)
        result[i][j - cols] = c[i][j];
    }
    return result;
  },

  // calculate the determinant of a matrix
  det: function det(a) {
    var alen = a.length,
    alend = alen * 2,
    vals = new Array(alend),
    rowshift = alen - 1,
    colshift = alend - 1,
    mrow = rowshift - alen + 1,
    mcol = colshift,
    i = 0,
    result = 0,
    j;
    // check for special 2x2 case
    if (alen === 2) {
      return a[0][0] * a[1][1] - a[0][1] * a[1][0];
    }
    for (; i < alend; i++) {
      vals[i] = 1;
    }
    for (i = 0; i < alen; i++) {
      for (j = 0; j < alen; j++) {
        vals[(mrow < 0) ? mrow + alen : mrow ] *= a[i][j];
        vals[(mcol < alen) ? mcol + alen : mcol ] *= a[i][j];
        mrow++;
        mcol--;
      }
      mrow = --rowshift - alen + 1;
      mcol = --colshift;
    }
    for (i = 0; i < alen; i++) {
      result += vals[i];
    }
    for (; i < alend; i++) {
      result -= vals[i];
    }
    return result;
  },

  gauss_elimination: function gauss_elimination(a, b) {
    var i = 0,
    j = 0,
    n = a.length,
    m = a[0].length,
    factor = 1,
    sum = 0,
    x = [],
    maug, pivot, temp, k;
    a = jStat.aug(a, b);
    maug = a[0].length;
    for(i = 0; i < n; i++) {
      pivot = a[i][i];
      j = i;
      for (k = i + 1; k < m; k++) {
        if (pivot < Math.abs(a[k][i])) {
          pivot = a[k][i];
          j = k;
        }
      }
      if (j != i) {
        for(k = 0; k < maug; k++) {
          temp = a[i][k];
          a[i][k] = a[j][k];
          a[j][k] = temp;
        }
      }
      for (j = i + 1; j < n; j++) {
        factor = a[j][i] / a[i][i];
        for(k = i; k < maug; k++) {
          a[j][k] = a[j][k] - factor * a[i][k];
        }
      }
    }
    for (i = n - 1; i >= 0; i--) {
      sum = 0;
      for (j = i + 1; j<= n - 1; j++) {
        sum = sum + x[j] * a[i][j];
      }
      x[i] =(a[i][maug - 1] - sum) / a[i][i];
    }
    return x;
  },

  gauss_jordan: function gauss_jordan(a, b) {
    var m = jStat.aug(a, b);
    var h = m.length;
    var w = m[0].length;
    var c = 0;
    var x, y, y2;
    // find max pivot
    for (y = 0; y < h; y++) {
      var maxrow = y;
      for (y2 = y+1; y2 < h; y2++) {
        if (Math.abs(m[y2][y]) > Math.abs(m[maxrow][y]))
          maxrow = y2;
      }
      var tmp = m[y];
      m[y] = m[maxrow];
      m[maxrow] = tmp
      for (y2 = y+1; y2 < h; y2++) {
        c = m[y2][y] / m[y][y];
        for (x = y; x < w; x++) {
          m[y2][x] -= m[y][x] * c;
        }
      }
    }
    // backsubstitute
    for (y = h-1; y >= 0; y--) {
      c = m[y][y];
      for (y2 = 0; y2 < y; y2++) {
        for (x = w-1; x > y-1; x--) {
          m[y2][x] -= m[y][x] * m[y2][y] / c;
        }
      }
      m[y][y] /= c;
      for (x = h; x < w; x++) {
        m[y][x] /= c;
      }
    }
    return m;
  },

  // solve equation
  // Ax=b
  // A is upper triangular matrix
  // A=[[1,2,3],[0,4,5],[0,6,7]]
  // b=[1,2,3]
  // triaUpSolve(A,b) // -> [2.666,0.1666,1.666]
  // if you use matrix style
  // A=[[1,2,3],[0,4,5],[0,6,7]]
  // b=[[1],[2],[3]]
  // will return [[2.666],[0.1666],[1.666]]
  triaUpSolve: function triaUpSolve(A, b) {
    var size = A[0].length;
    var x = jStat.zeros(1, size)[0];
    var parts;
    var matrix_mode = false;

    if (b[0].length != undefined) {
      b = b.map(function(i){ return i[0] });
      matrix_mode = true;
    }

    jStat.arange(size - 1, -1, -1).forEach(function(i) {
      parts = jStat.arange(i + 1, size).map(function(j) {
        return x[j] * A[i][j];
      });
      x[i] = (b[i] - jStat.sum(parts)) / A[i][i];
    });

    if (matrix_mode)
      return x.map(function(i){ return [i] });
    return x;
  },

  triaLowSolve: function triaLowSolve(A, b) {
    // like to triaUpSolve but A is lower triangular matrix
    var size = A[0].length;
    var x = jStat.zeros(1, size)[0];
    var parts;

    var matrix_mode=false;
    if (b[0].length != undefined) {
      b = b.map(function(i){ return i[0] });
      matrix_mode = true;
    }

    jStat.arange(size).forEach(function(i) {
      parts = jStat.arange(i).map(function(j) {
        return A[i][j] * x[j];
      });
      x[i] = (b[i] - jStat.sum(parts)) / A[i][i];
    })

    if (matrix_mode)
      return x.map(function(i){ return [i] });
    return x;
  },


  // A -> [L,U]
  // A=LU
  // L is lower triangular matrix
  // U is upper triangular matrix
  lu: function lu(A) {
    var size = A.length;
    //var L=jStat.diagonal(jStat.ones(1,size)[0]);
    var L = jStat.identity(size);
    var R = jStat.zeros(A.length, A[0].length);
    var parts;
    jStat.arange(size).forEach(function(t) {
      R[0][t] = A[0][t];
    });
    jStat.arange(1, size).forEach(function(l) {
      jStat.arange(l).forEach(function(i) {
        parts = jStat.arange(i).map(function(jj) {
          return L[l][jj] * R[jj][i];
        });
        L[l][i] = (A[l][i] - jStat.sum(parts)) / R[i][i];
      });
      jStat.arange(l, size).forEach(function(j) {
        parts = jStat.arange(l).map(function(jj) {
          return L[l][jj] * R[jj][j];
        });
        R[l][j] = A[parts.length][j] - jStat.sum(parts);
      });
    });
    return [L, R];
  },

  // A -> T
  // A=TT'
  // T is lower triangular matrix
  cholesky: function cholesky(A) {
    var size = A.length;
    var T = jStat.zeros(A.length, A[0].length);
    var parts;
    jStat.arange(size).forEach(function(i) {
      parts = jStat.arange(i).map(function(t) {
        return Math.pow(T[i][t],2);
      });
      T[i][i] = Math.sqrt(A[i][i] - jStat.sum(parts));
      jStat.arange(i + 1, size).forEach(function(j) {
        parts = jStat.arange(i).map(function(t) {
          return T[i][t] * T[j][t];
        });
        T[j][i] = (A[i][j] - jStat.sum(parts)) / T[i][i];
      });
    });
    return T;
  },


  gauss_jacobi: function gauss_jacobi(a, b, x, r) {
    var i = 0;
    var j = 0;
    var n = a.length;
    var l = [];
    var u = [];
    var d = [];
    var xv, c, h, xk;
    for (; i < n; i++) {
      l[i] = [];
      u[i] = [];
      d[i] = [];
      for (j = 0; j < n; j++) {
        if (i > j) {
          l[i][j] = a[i][j];
          u[i][j] = d[i][j] = 0;
        } else if (i < j) {
          u[i][j] = a[i][j];
          l[i][j] = d[i][j] = 0;
        } else {
          d[i][j] = a[i][j];
          l[i][j] = u[i][j] = 0;
        }
      }
    }
    h = jStat.multiply(jStat.multiply(jStat.inv(d), jStat.add(l, u)), -1);
    c = jStat.multiply(jStat.inv(d), b);
    xv = x;
    xk = jStat.add(jStat.multiply(h, x), c);
    i = 2;
    while (Math.abs(jStat.norm(jStat.subtract(xk,xv))) > r) {
      xv = xk;
      xk = jStat.add(jStat.multiply(h, xv), c);
      i++;
    }
    return xk;
  },

  gauss_seidel: function gauss_seidel(a, b, x, r) {
    var i = 0;
    var n = a.length;
    var l = [];
    var u = [];
    var d = [];
    var j, xv, c, h, xk;
    for (; i < n; i++) {
      l[i] = [];
      u[i] = [];
      d[i] = [];
      for (j = 0; j < n; j++) {
        if (i > j) {
          l[i][j] = a[i][j];
          u[i][j] = d[i][j] = 0;
        } else if (i < j) {
          u[i][j] = a[i][j];
          l[i][j] = d[i][j] = 0;
        } else {
          d[i][j] = a[i][j];
          l[i][j] = u[i][j] = 0;
        }
      }
    }
    h = jStat.multiply(jStat.multiply(jStat.inv(jStat.add(d, l)), u), -1);
    c = jStat.multiply(jStat.inv(jStat.add(d, l)), b);
    xv = x;
    xk = jStat.add(jStat.multiply(h, x), c);
    i = 2;
    while (Math.abs(jStat.norm(jStat.subtract(xk, xv))) > r) {
      xv = xk;
      xk = jStat.add(jStat.multiply(h, xv), c);
      i = i + 1;
    }
    return xk;
  },

  SOR: function SOR(a, b, x, r, w) {
    var i = 0;
    var n = a.length;
    var l = [];
    var u = [];
    var d = [];
    var j, xv, c, h, xk;
    for (; i < n; i++) {
      l[i] = [];
      u[i] = [];
      d[i] = [];
      for (j = 0; j < n; j++) {
        if (i > j) {
          l[i][j] = a[i][j];
          u[i][j] = d[i][j] = 0;
        } else if (i < j) {
          u[i][j] = a[i][j];
          l[i][j] = d[i][j] = 0;
        } else {
          d[i][j] = a[i][j];
          l[i][j] = u[i][j] = 0;
        }
      }
    }
    h = jStat.multiply(jStat.inv(jStat.add(d, jStat.multiply(l, w))),
                       jStat.subtract(jStat.multiply(d, 1 - w),
                                      jStat.multiply(u, w)));
    c = jStat.multiply(jStat.multiply(jStat.inv(jStat.add(d,
        jStat.multiply(l, w))), b), w);
    xv = x;
    xk = jStat.add(jStat.multiply(h, x), c);
    i = 2;
    while (Math.abs(jStat.norm(jStat.subtract(xk, xv))) > r) {
      xv = xk;
      xk = jStat.add(jStat.multiply(h, xv), c);
      i++;
    }
    return xk;
  },

  householder: function householder(a) {
    var m = a.length;
    var n = a[0].length;
    var i = 0;
    var w = [];
    var p = [];
    var alpha, r, k, j, factor;
    for (; i < m - 1; i++) {
      alpha = 0;
      for (j = i + 1; j < n; j++)
      alpha += (a[j][i] * a[j][i]);
      factor = (a[i + 1][i] > 0) ? -1 : 1;
      alpha = factor * Math.sqrt(alpha);
      r = Math.sqrt((((alpha * alpha) - a[i + 1][i] * alpha) / 2));
      w = jStat.zeros(m, 1);
      w[i + 1][0] = (a[i + 1][i] - alpha) / (2 * r);
      for (k = i + 2; k < m; k++) w[k][0] = a[k][i] / (2 * r);
      p = jStat.subtract(jStat.identity(m, n),
          jStat.multiply(jStat.multiply(w, jStat.transpose(w)), 2));
      a = jStat.multiply(p, jStat.multiply(a, p));
    }
    return a;
  },

  // A -> [Q,R]
  // Q is orthogonal matrix
  // R is upper triangular
  QR: (function() {
    // x -> Q
    // find a orthogonal matrix Q st.
    // Qx=y
    // y is [||x||,0,0,...]

    // quick ref
    var sum   = jStat.sum;
    var range = jStat.arange;

    function qr2(x) {
      // quick impletation
      // https://www.stat.wisc.edu/~larget/math496/qr.html

      var n = x.length;
      var p = x[0].length;

      var r = jStat.zeros(p, p);
      x = jStat.copy(x);

      var i,j,k;
      for(j = 0; j < p; j++){
        r[j][j] = Math.sqrt(sum(range(n).map(function(i){
          return x[i][j] * x[i][j];
        })));
        for(i = 0; i < n; i++){
          x[i][j] = x[i][j] / r[j][j];
        }
        for(k = j+1; k < p; k++){
          r[j][k] = sum(range(n).map(function(i){
            return x[i][j] * x[i][k];
          }));
          for(i = 0; i < n; i++){
            x[i][k] = x[i][k] - x[i][j]*r[j][k];
          }
        }
      }
      return [x, r];
    }

    return qr2;
  }()),

  lstsq: (function() {
    // solve least squard problem for Ax=b as QR decomposition way if b is
    // [[b1],[b2],[b3]] form will return [[x1],[x2],[x3]] array form solution
    // else b is [b1,b2,b3] form will return [x1,x2,x3] array form solution
    function R_I(A) {
      A = jStat.copy(A);
      var size = A.length;
      var I = jStat.identity(size);
      jStat.arange(size - 1, -1, -1).forEach(function(i) {
        jStat.sliceAssign(
            I, { row: i }, jStat.divide(jStat.slice(I, { row: i }), A[i][i]));
        jStat.sliceAssign(
            A, { row: i }, jStat.divide(jStat.slice(A, { row: i }), A[i][i]));
        jStat.arange(i).forEach(function(j) {
          var c = jStat.multiply(A[j][i], -1);
          var Aj = jStat.slice(A, { row: j });
          var cAi = jStat.multiply(jStat.slice(A, { row: i }), c);
          jStat.sliceAssign(A, { row: j }, jStat.add(Aj, cAi));
          var Ij = jStat.slice(I, { row: j });
          var cIi = jStat.multiply(jStat.slice(I, { row: i }), c);
          jStat.sliceAssign(I, { row: j }, jStat.add(Ij, cIi));
        })
      });
      return I;
    }

    function qr_solve(A, b){
      var array_mode = false;
      if (b[0].length === undefined) {
        // [c1,c2,c3] mode
        b = b.map(function(x){ return [x] });
        array_mode = true;
      }
      var QR = jStat.QR(A);
      var Q = QR[0];
      var R = QR[1];
      var attrs = A[0].length;
      var Q1 = jStat.slice(Q,{col:{end:attrs}});
      var R1 = jStat.slice(R,{row:{end:attrs}});
      var RI = R_I(R1);
      var Q2 = jStat.transpose(Q1);

      if(Q2[0].length === undefined){
        Q2 = [Q2]; // The confusing jStat.multifly implementation threat nature process again.
      }

      var x = jStat.multiply(jStat.multiply(RI, Q2), b);

      if(x.length === undefined){
        x = [[x]]; // The confusing jStat.multifly implementation threat nature process again.
      }


      if (array_mode)
        return x.map(function(i){ return i[0] });
      return x;
    }

    return qr_solve;
  }()),

  jacobi: function jacobi(a) {
    var condition = 1;
    var n = a.length;
    var e = jStat.identity(n, n);
    var ev = [];
    var b, i, j, p, q, maxim, theta, s;
    // condition === 1 only if tolerance is not reached
    while (condition === 1) {
      maxim = a[0][1];
      p = 0;
      q = 1;
      for (i = 0; i < n; i++) {
        for (j = 0; j < n; j++) {
          if (i != j) {
            if (maxim < Math.abs(a[i][j])) {
              maxim = Math.abs(a[i][j]);
              p = i;
              q = j;
            }
          }
        }
      }
      if (a[p][p] === a[q][q])
        theta = (a[p][q] > 0) ? Math.PI / 4 : -Math.PI / 4;
      else
        theta = Math.atan(2 * a[p][q] / (a[p][p] - a[q][q])) / 2;
      s = jStat.identity(n, n);
      s[p][p] = Math.cos(theta);
      s[p][q] = -Math.sin(theta);
      s[q][p] = Math.sin(theta);
      s[q][q] = Math.cos(theta);
      // eigen vector matrix
      e = jStat.multiply(e, s);
      b = jStat.multiply(jStat.multiply(jStat.inv(s), a), s);
      a = b;
      condition = 0;
      for (i = 1; i < n; i++) {
        for (j = 1; j < n; j++) {
          if (i != j && Math.abs(a[i][j]) > 0.001) {
            condition = 1;
          }
        }
      }
    }
    for (i = 0; i < n; i++) ev.push(a[i][i]);
    //returns both the eigenvalue and eigenmatrix
    return [e, ev];
  },

  rungekutta: function rungekutta(f, h, p, t_j, u_j, order) {
    var k1, k2, u_j1, k3, k4;
    if (order === 2) {
      while (t_j <= p) {
        k1 = h * f(t_j, u_j);
        k2 = h * f(t_j + h, u_j + k1);
        u_j1 = u_j + (k1 + k2) / 2;
        u_j = u_j1;
        t_j = t_j + h;
      }
    }
    if (order === 4) {
      while (t_j <= p) {
        k1 = h * f(t_j, u_j);
        k2 = h * f(t_j + h / 2, u_j + k1 / 2);
        k3 = h * f(t_j + h / 2, u_j + k2 / 2);
        k4 = h * f(t_j +h, u_j + k3);
        u_j1 = u_j + (k1 + 2 * k2 + 2 * k3 + k4) / 6;
        u_j = u_j1;
        t_j = t_j + h;
      }
    }
    return u_j;
  },

  romberg: function romberg(f, a, b, order) {
    var i = 0;
    var h = (b - a) / 2;
    var x = [];
    var h1 = [];
    var g = [];
    var m, a1, j, k, I;
    while (i < order / 2) {
      I = f(a);
      for (j = a, k = 0; j <= b; j = j + h, k++) x[k] = j;
      m = x.length;
      for (j = 1; j < m - 1; j++) {
        I += (((j % 2) !== 0) ? 4 : 2) * f(x[j]);
      }
      I = (h / 3) * (I + f(b));
      g[i] = I;
      h /= 2;
      i++;
    }
    a1 = g.length;
    m = 1;
    while (a1 !== 1) {
      for (j = 0; j < a1 - 1; j++)
      h1[j] = ((Math.pow(4, m)) * g[j + 1] - g[j]) / (Math.pow(4, m) - 1);
      a1 = h1.length;
      g = h1;
      h1 = [];
      m++;
    }
    return g;
  },

  richardson: function richardson(X, f, x, h) {
    function pos(X, x) {
      var i = 0;
      var n = X.length;
      var p;
      for (; i < n; i++)
        if (X[i] === x) p = i;
      return p;
    }
    var h_min = Math.abs(x - X[pos(X, x) + 1]);
    var i = 0;
    var g = [];
    var h1 = [];
    var y1, y2, m, a, j;
    while (h >= h_min) {
      y1 = pos(X, x + h);
      y2 = pos(X, x);
      g[i] = (f[y1] - 2 * f[y2] + f[2 * y2 - y1]) / (h * h);
      h /= 2;
      i++;
    }
    a = g.length;
    m = 1;
    while (a != 1) {
      for (j = 0; j < a - 1; j++)
        h1[j] = ((Math.pow(4, m)) * g[j + 1] - g[j]) / (Math.pow(4, m) - 1);
      a = h1.length;
      g = h1;
      h1 = [];
      m++;
    }
    return g;
  },

  simpson: function simpson(f, a, b, n) {
    var h = (b - a) / n;
    var I = f(a);
    var x = [];
    var j = a;
    var k = 0;
    var i = 1;
    var m;
    for (; j <= b; j = j + h, k++)
      x[k] = j;
    m = x.length;
    for (; i < m - 1; i++) {
      I += ((i % 2 !== 0) ? 4 : 2) * f(x[i]);
    }
    return (h / 3) * (I + f(b));
  },

  hermite: function hermite(X, F, dF, value) {
    var n = X.length;
    var p = 0;
    var i = 0;
    var l = [];
    var dl = [];
    var A = [];
    var B = [];
    var j;
    for (; i < n; i++) {
      l[i] = 1;
      for (j = 0; j < n; j++) {
        if (i != j) l[i] *= (value - X[j]) / (X[i] - X[j]);
      }
      dl[i] = 0;
      for (j = 0; j < n; j++) {
        if (i != j) dl[i] += 1 / (X [i] - X[j]);
      }
      A[i] = (1 - 2 * (value - X[i]) * dl[i]) * (l[i] * l[i]);
      B[i] = (value - X[i]) * (l[i] * l[i]);
      p += (A[i] * F[i] + B[i] * dF[i]);
    }
    return p;
  },

  lagrange: function lagrange(X, F, value) {
    var p = 0;
    var i = 0;
    var j, l;
    var n = X.length;
    for (; i < n; i++) {
      l = F[i];
      for (j = 0; j < n; j++) {
        // calculating the lagrange polynomial L_i
        if (i != j) l *= (value - X[j]) / (X[i] - X[j]);
      }
      // adding the lagrange polynomials found above
      p += l;
    }
    return p;
  },

  cubic_spline: function cubic_spline(X, F, value) {
    var n = X.length;
    var i = 0, j;
    var A = [];
    var B = [];
    var alpha = [];
    var c = [];
    var h = [];
    var b = [];
    var d = [];
    for (; i < n - 1; i++)
      h[i] = X[i + 1] - X[i];
    alpha[0] = 0;
    for (i = 1; i < n - 1; i++) {
      alpha[i] = (3 / h[i]) * (F[i + 1] - F[i]) -
          (3 / h[i-1]) * (F[i] - F[i-1]);
    }
    for (i = 1; i < n - 1; i++) {
      A[i] = [];
      B[i] = [];
      A[i][i-1] = h[i-1];
      A[i][i] = 2 * (h[i - 1] + h[i]);
      A[i][i+1] = h[i];
      B[i][0] = alpha[i];
    }
    c = jStat.multiply(jStat.inv(A), B);
    for (j = 0; j < n - 1; j++) {
      b[j] = (F[j + 1] - F[j]) / h[j] - h[j] * (c[j + 1][0] + 2 * c[j][0]) / 3;
      d[j] = (c[j + 1][0] - c[j][0]) / (3 * h[j]);
    }
    for (j = 0; j < n; j++) {
      if (X[j] > value) break;
    }
    j -= 1;
    return F[j] + (value - X[j]) * b[j] + jStat.sq(value-X[j]) *
        c[j] + (value - X[j]) * jStat.sq(value - X[j]) * d[j];
  },

  gauss_quadrature: function gauss_quadrature() {
    throw new Error('gauss_quadrature not yet implemented');
  },

  PCA: function PCA(X) {
    var m = X.length;
    var n = X[0].length;
    var i = 0;
    var j, temp1;
    var u = [];
    var D = [];
    var result = [];
    var temp2 = [];
    var Y = [];
    var Bt = [];
    var B = [];
    var C = [];
    var V = [];
    var Vt = [];
    for (i = 0; i < m; i++) {
      u[i] = jStat.sum(X[i]) / n;
    }
    for (i = 0; i < n; i++) {
      B[i] = [];
      for(j = 0; j < m; j++) {
        B[i][j] = X[j][i] - u[j];
      }
    }
    B = jStat.transpose(B);
    for (i = 0; i < m; i++) {
      C[i] = [];
      for (j = 0; j < m; j++) {
        C[i][j] = (jStat.dot([B[i]], [B[j]])) / (n - 1);
      }
    }
    result = jStat.jacobi(C);
    V = result[0];
    D = result[1];
    Vt = jStat.transpose(V);
    for (i = 0; i < D.length; i++) {
      for (j = i; j < D.length; j++) {
        if(D[i] < D[j])  {
          temp1 = D[i];
          D[i] = D[j];
          D[j] = temp1;
          temp2 = Vt[i];
          Vt[i] = Vt[j];
          Vt[j] = temp2;
        }
      }
    }
    Bt = jStat.transpose(B);
    for (i = 0; i < m; i++) {
      Y[i] = [];
      for (j = 0; j < Bt.length; j++) {
        Y[i][j] = jStat.dot([Vt[i]], [Bt[j]]);
      }
    }
    return [X, D, Vt, Y];
  }
});

// extend jStat.fn with methods that require one argument
(function(funcs) {
  for (var i = 0; i < funcs.length; i++) (function(passfunc) {
    jStat.fn[passfunc] = function(arg, func) {
      var tmpthis = this;
      // check for callback
      if (func) {
        setTimeout(function() {
          func.call(tmpthis, jStat.fn[passfunc].call(tmpthis, arg));
        }, 15);
        return this;
      }
      if (typeof jStat[passfunc](this, arg) === 'number')
        return jStat[passfunc](this, arg);
      else
        return jStat(jStat[passfunc](this, arg));
    };
  }(funcs[i]));
}('add divide multiply subtract dot pow exp log abs norm angle'.split(' ')));

}(jStat, Math));
(function(jStat, Math) {

var slice = [].slice;
var isNumber = jStat.utils.isNumber;
var isArray = jStat.utils.isArray;

// flag==true denotes use of sample standard deviation
// Z Statistics
jStat.extend({
  // 2 different parameter lists:
  // (value, mean, sd)
  // (value, array, flag)
  zscore: function zscore() {
    var args = slice.call(arguments);
    if (isNumber(args[1])) {
      return (args[0] - args[1]) / args[2];
    }
    return (args[0] - jStat.mean(args[1])) / jStat.stdev(args[1], args[2]);
  },

  // 3 different paramter lists:
  // (value, mean, sd, sides)
  // (zscore, sides)
  // (value, array, sides, flag)
  ztest: function ztest() {
    var args = slice.call(arguments);
    var z;
    if (isArray(args[1])) {
      // (value, array, sides, flag)
      z = jStat.zscore(args[0],args[1],args[3]);
      return (args[2] === 1) ?
        (jStat.normal.cdf(-Math.abs(z), 0, 1)) :
        (jStat.normal.cdf(-Math.abs(z), 0, 1)*2);
    } else {
      if (args.length > 2) {
        // (value, mean, sd, sides)
        z = jStat.zscore(args[0],args[1],args[2]);
        return (args[3] === 1) ?
          (jStat.normal.cdf(-Math.abs(z),0,1)) :
          (jStat.normal.cdf(-Math.abs(z),0,1)* 2);
      } else {
        // (zscore, sides)
        z = args[0];
        return (args[1] === 1) ?
          (jStat.normal.cdf(-Math.abs(z),0,1)) :
          (jStat.normal.cdf(-Math.abs(z),0,1)*2);
      }
    }
  }
});

jStat.extend(jStat.fn, {
  zscore: function zscore(value, flag) {
    return (value - this.mean()) / this.stdev(flag);
  },

  ztest: function ztest(value, sides, flag) {
    var zscore = Math.abs(this.zscore(value, flag));
    return (sides === 1) ?
      (jStat.normal.cdf(-zscore, 0, 1)) :
      (jStat.normal.cdf(-zscore, 0, 1) * 2);
  }
});

// T Statistics
jStat.extend({
  // 2 parameter lists
  // (value, mean, sd, n)
  // (value, array)
  tscore: function tscore() {
    var args = slice.call(arguments);
    return (args.length === 4) ?
      ((args[0] - args[1]) / (args[2] / Math.sqrt(args[3]))) :
      ((args[0] - jStat.mean(args[1])) /
       (jStat.stdev(args[1], true) / Math.sqrt(args[1].length)));
  },

  // 3 different paramter lists:
  // (value, mean, sd, n, sides)
  // (tscore, n, sides)
  // (value, array, sides)
  ttest: function ttest() {
    var args = slice.call(arguments);
    var tscore;
    if (args.length === 5) {
      tscore = Math.abs(jStat.tscore(args[0], args[1], args[2], args[3]));
      return (args[4] === 1) ?
        (jStat.studentt.cdf(-tscore, args[3]-1)) :
        (jStat.studentt.cdf(-tscore, args[3]-1)*2);
    }
    if (isNumber(args[1])) {
      tscore = Math.abs(args[0])
      return (args[2] == 1) ?
        (jStat.studentt.cdf(-tscore, args[1]-1)) :
        (jStat.studentt.cdf(-tscore, args[1]-1) * 2);
    }
    tscore = Math.abs(jStat.tscore(args[0], args[1]))
    return (args[2] == 1) ?
      (jStat.studentt.cdf(-tscore, args[1].length-1)) :
      (jStat.studentt.cdf(-tscore, args[1].length-1) * 2);
  }
});

jStat.extend(jStat.fn, {
  tscore: function tscore(value) {
    return (value - this.mean()) / (this.stdev(true) / Math.sqrt(this.cols()));
  },

  ttest: function ttest(value, sides) {
    return (sides === 1) ?
      (1 - jStat.studentt.cdf(Math.abs(this.tscore(value)), this.cols()-1)) :
      (jStat.studentt.cdf(-Math.abs(this.tscore(value)), this.cols()-1)*2);
  }
});

// F Statistics
jStat.extend({
  // Paramter list is as follows:
  // (array1, array2, array3, ...)
  // or it is an array of arrays
  // array of arrays conversion
  anovafscore: function anovafscore() {
    var args = slice.call(arguments),
    expVar, sample, sampMean, sampSampMean, tmpargs, unexpVar, i, j;
    if (args.length === 1) {
      tmpargs = new Array(args[0].length);
      for (i = 0; i < args[0].length; i++) {
        tmpargs[i] = args[0][i];
      }
      args = tmpargs;
    }
    // Builds sample array
    sample = new Array();
    for (i = 0; i < args.length; i++) {
      sample = sample.concat(args[i]);
    }
    sampMean = jStat.mean(sample);
    // Computes the explained variance
    expVar = 0;
    for (i = 0; i < args.length; i++) {
      expVar = expVar + args[i].length * Math.pow(jStat.mean(args[i]) - sampMean, 2);
    }
    expVar /= (args.length - 1);
    // Computes unexplained variance
    unexpVar = 0;
    for (i = 0; i < args.length; i++) {
      sampSampMean = jStat.mean(args[i]);
      for (j = 0; j < args[i].length; j++) {
        unexpVar += Math.pow(args[i][j] - sampSampMean, 2);
      }
    }
    unexpVar /= (sample.length - args.length);
    return expVar / unexpVar;
  },

  // 2 different paramter setups
  // (array1, array2, array3, ...)
  // (anovafscore, df1, df2)
  anovaftest: function anovaftest() {
    var args = slice.call(arguments),
    df1, df2, n, i;
    if (isNumber(args[0])) {
      return 1 - jStat.centralF.cdf(args[0], args[1], args[2]);
    }
    var anovafscore = jStat.anovafscore(args);
    df1 = args.length - 1;
    n = 0;
    for (i = 0; i < args.length; i++) {
      n = n + args[i].length;
    }
    df2 = n - df1 - 1;
    return 1 - jStat.centralF.cdf(anovafscore, df1, df2);
  },

  ftest: function ftest(fscore, df1, df2) {
    return 1 - jStat.centralF.cdf(fscore, df1, df2);
  }
});

jStat.extend(jStat.fn, {
  anovafscore: function anovafscore() {
    return jStat.anovafscore(this.toArray());
  },

  anovaftes: function anovaftes() {
    var n = 0;
    var i;
    for (i = 0; i < this.length; i++) {
      n = n + this[i].length;
    }
    return jStat.ftest(this.anovafscore(), this.length - 1, n - this.length);
  }
});

// Tukey's range test
jStat.extend({
  // 2 parameter lists
  // (mean1, mean2, n1, n2, sd)
  // (array1, array2, sd)
  qscore: function qscore() {
    var args = slice.call(arguments);
    var mean1, mean2, n1, n2, sd;
    if (isNumber(args[0])) {
        mean1 = args[0];
        mean2 = args[1];
        n1 = args[2];
        n2 = args[3];
        sd = args[4];
    } else {
        mean1 = jStat.mean(args[0]);
        mean2 = jStat.mean(args[1]);
        n1 = args[0].length;
        n2 = args[1].length;
        sd = args[2];
    }
    return Math.abs(mean1 - mean2) / (sd * Math.sqrt((1 / n1 + 1 / n2) / 2));
  },

  // 3 different parameter lists:
  // (qscore, n, k)
  // (mean1, mean2, n1, n2, sd, n, k)
  // (array1, array2, sd, n, k)
  qtest: function qtest() {
    var args = slice.call(arguments);

    var qscore;
    if (args.length === 3) {
      qscore = args[0];
      args = args.slice(1);
    } else if (args.length === 7) {
      qscore = jStat.qscore(args[0], args[1], args[2], args[3], args[4]);
      args = args.slice(5);
    } else {
      qscore = jStat.qscore(args[0], args[1], args[2]);
      args = args.slice(3);
    }

    var n = args[0];
    var k = args[1];

    return 1 - jStat.tukey.cdf(qscore, k, n - k);
  },

  tukeyhsd: function tukeyhsd(arrays) {
    var sd = jStat.pooledstdev(arrays);
    var means = arrays.map(function (arr) {return jStat.mean(arr);});
    var n = arrays.reduce(function (n, arr) {return n + arr.length;}, 0);

    var results = [];
    for (var i = 0; i < arrays.length; ++i) {
        for (var j = i + 1; j < arrays.length; ++j) {
            var p = jStat.qtest(means[i], means[j], arrays[i].length, arrays[j].length, sd, n, arrays.length);
            results.push([[i, j], p]);
        }
    }

    return results;
  }
});

// Error Bounds
jStat.extend({
  // 2 different parameter setups
  // (value, alpha, sd, n)
  // (value, alpha, array)
  normalci: function normalci() {
    var args = slice.call(arguments),
    ans = new Array(2),
    change;
    if (args.length === 4) {
      change = Math.abs(jStat.normal.inv(args[1] / 2, 0, 1) *
                        args[2] / Math.sqrt(args[3]));
    } else {
      change = Math.abs(jStat.normal.inv(args[1] / 2, 0, 1) *
                        jStat.stdev(args[2]) / Math.sqrt(args[2].length));
    }
    ans[0] = args[0] - change;
    ans[1] = args[0] + change;
    return ans;
  },

  // 2 different parameter setups
  // (value, alpha, sd, n)
  // (value, alpha, array)
  tci: function tci() {
    var args = slice.call(arguments),
    ans = new Array(2),
    change;
    if (args.length === 4) {
      change = Math.abs(jStat.studentt.inv(args[1] / 2, args[3] - 1) *
                        args[2] / Math.sqrt(args[3]));
    } else {
      change = Math.abs(jStat.studentt.inv(args[1] / 2, args[2].length - 1) *
                        jStat.stdev(args[2], true) / Math.sqrt(args[2].length));
    }
    ans[0] = args[0] - change;
    ans[1] = args[0] + change;
    return ans;
  },

  significant: function significant(pvalue, alpha) {
    return pvalue < alpha;
  }
});

jStat.extend(jStat.fn, {
  normalci: function normalci(value, alpha) {
    return jStat.normalci(value, alpha, this.toArray());
  },

  tci: function tci(value, alpha) {
    return jStat.tci(value, alpha, this.toArray());
  }
});

// internal method for calculating the z-score for a difference of proportions test
function differenceOfProportions(p1, n1, p2, n2) {
  if (p1 > 1 || p2 > 1 || p1 <= 0 || p2 <= 0) {
    throw new Error("Proportions should be greater than 0 and less than 1")
  }
  var pooled = (p1 * n1 + p2 * n2) / (n1 + n2);
  var se = Math.sqrt(pooled * (1 - pooled) * ((1/n1) + (1/n2)));
  return (p1 - p2) / se;
}

// Difference of Proportions
jStat.extend(jStat.fn, {
  oneSidedDifferenceOfProportions: function oneSidedDifferenceOfProportions(p1, n1, p2, n2) {
    var z = differenceOfProportions(p1, n1, p2, n2);
    return jStat.ztest(z, 1);
  },

  twoSidedDifferenceOfProportions: function twoSidedDifferenceOfProportions(p1, n1, p2, n2) {
    var z = differenceOfProportions(p1, n1, p2, n2);
    return jStat.ztest(z, 2);
  }
});

}(jStat, Math));
jStat.models = (function(){
  function sub_regress(exog) {
    var var_count = exog[0].length;
    var modelList = jStat.arange(var_count).map(function(endog_index) {
      var exog_index =
          jStat.arange(var_count).filter(function(i){return i!==endog_index});
      return ols(jStat.col(exog, endog_index).map(function(x){ return x[0] }),
                 jStat.col(exog, exog_index))
    });
    return modelList;
  }

  // do OLS model regress
  // exog have include const columns ,it will not generate it .In fact, exog is
  // "design matrix" look at
  //https://en.wikipedia.org/wiki/Design_matrix
  function ols(endog, exog) {
    var nobs = endog.length;
    var df_model = exog[0].length - 1;
    var df_resid = nobs-df_model - 1;
    var coef = jStat.lstsq(exog, endog);
    var predict =
        jStat.multiply(exog, coef.map(function(x) { return [x] }))
            .map(function(p) { return p[0] });
    var resid = jStat.subtract(endog, predict);
    var ybar = jStat.mean(endog);
    // constant cause problem
    // var SST = jStat.sum(endog.map(function(y) {
    //   return Math.pow(y-ybar,2);
    // }));
    var SSE = jStat.sum(predict.map(function(f) {
      return Math.pow(f - ybar, 2);
    }));
    var SSR = jStat.sum(endog.map(function(y, i) {
      return Math.pow(y - predict[i], 2);
    }));
    var SST = SSE + SSR;
    var R2 = (SSE / SST);
    return {
        exog:exog,
        endog:endog,
        nobs:nobs,
        df_model:df_model,
        df_resid:df_resid,
        coef:coef,
        predict:predict,
        resid:resid,
        ybar:ybar,
        SST:SST,
        SSE:SSE,
        SSR:SSR,
        R2:R2
    };
  }

  // H0: b_I=0
  // H1: b_I!=0
  function t_test(model) {
    var subModelList = sub_regress(model.exog);
    //var sigmaHat=jStat.stdev(model.resid);
    var sigmaHat = Math.sqrt(model.SSR / (model.df_resid));
    var seBetaHat = subModelList.map(function(mod) {
      var SST = mod.SST;
      var R2 = mod.R2;
      return sigmaHat / Math.sqrt(SST * (1 - R2));
    });
    var tStatistic = model.coef.map(function(coef, i) {
      return (coef - 0) / seBetaHat[i];
    });
    var pValue = tStatistic.map(function(t) {
      var leftppf = jStat.studentt.cdf(t, model.df_resid);
      return (leftppf > 0.5 ? 1 - leftppf : leftppf) * 2;
    });
    var c = jStat.studentt.inv(0.975, model.df_resid);
    var interval95 = model.coef.map(function(coef, i) {
      var d = c * seBetaHat[i];
      return [coef - d, coef + d];
    })
    return {
        se: seBetaHat,
        t: tStatistic,
        p: pValue,
        sigmaHat: sigmaHat,
        interval95: interval95
    };
  }

  function F_test(model) {
    var F_statistic =
        (model.R2 / model.df_model) / ((1 - model.R2) / model.df_resid);
    var fcdf = function(x, n1, n2) {
      return jStat.beta.cdf(x / (n2 / n1 + x), n1 / 2, n2 / 2)
    }
    var pvalue = 1 - fcdf(F_statistic, model.df_model, model.df_resid);
    return { F_statistic: F_statistic, pvalue: pvalue };
  }

  function ols_wrap(endog, exog) {
    var model = ols(endog,exog);
    var ttest = t_test(model);
    var ftest = F_test(model);
    // Provide the Wherry / Ezekiel / McNemar / Cohen Adjusted R^2
    // Which matches the 'adjusted R^2' provided by R's lm package
    var adjust_R2 =
        1 - (1 - model.R2) * ((model.nobs - 1) / (model.df_resid));
    model.t = ttest;
    model.f = ftest;
    model.adjust_R2 = adjust_R2;
    return model;
  }

  return { ols: ols_wrap };
})();
//To regress, simply build X matrix
//(append column of 1's) using
//buildxmatrix and build the Y
//matrix using buildymatrix
//(simply the transpose)
//and run regress.



//Regressions

jStat.extend({
  buildxmatrix: function buildxmatrix(){
    //Parameters will be passed in as such
    //(array1,array2,array3,...)
    //as (x1,x2,x3,...)
    //needs to be (1,x1,x2,x3,...)
    var matrixRows = new Array(arguments.length);
    for(var i=0;i<arguments.length;i++){
      var array = [1];
      matrixRows[i]= array.concat(arguments[i]);
    }
    return jStat(matrixRows);

  },

  builddxmatrix: function builddxmatrix() {
    //Paramters will be passed in as such
    //([array1,array2,...]
    var matrixRows = new Array(arguments[0].length);
    for(var i=0;i<arguments[0].length;i++){
      var array = [1]
      matrixRows[i]= array.concat(arguments[0][i]);
    }
    return jStat(matrixRows);

  },

  buildjxmatrix: function buildjxmatrix(jMat) {
    //Builds from jStat Matrix
    var pass = new Array(jMat.length)
    for(var i=0;i<jMat.length;i++){
      pass[i] = jMat[i];
    }
    return jStat.builddxmatrix(pass);

  },

  buildymatrix: function buildymatrix(array){
    return jStat(array).transpose();
  },

  buildjymatrix: function buildjymatrix(jMat){
    return jMat.transpose();
  },

  matrixmult: function matrixmult(A,B){
    var i, j, k, result, sum;
    if (A.cols() == B.rows()) {
      if(B.rows()>1){
        result = [];
        for (i = 0; i < A.rows(); i++) {
          result[i] = [];
          for (j = 0; j < B.cols(); j++) {
            sum = 0;
            for (k = 0; k < A.cols(); k++) {
              sum += A.toArray()[i][k] * B.toArray()[k][j];
            }
            result[i][j] = sum;
          }
        }
        return jStat(result);
      }
      result = [];
      for (i = 0; i < A.rows(); i++) {
        result[i] = [];
        for (j = 0; j < B.cols(); j++) {
          sum = 0;
          for (k = 0; k < A.cols(); k++) {
            sum += A.toArray()[i][k] * B.toArray()[j];
          }
          result[i][j] = sum;
        }
      }
      return jStat(result);
    }
  },

  //regress and regresst to be fixed

  regress: function regress(jMatX,jMatY){
    //print("regressin!");
    //print(jMatX.toArray());
    var innerinv = jStat.xtranspxinv(jMatX);
    //print(innerinv);
    var xtransp = jMatX.transpose();
    var next = jStat.matrixmult(jStat(innerinv),xtransp);
    return jStat.matrixmult(next,jMatY);

  },

  regresst: function regresst(jMatX,jMatY,sides){
    var beta = jStat.regress(jMatX,jMatY);

    var compile = {};
    compile.anova = {};
    var jMatYBar = jStat.jMatYBar(jMatX, beta);
    compile.yBar = jMatYBar;
    var yAverage = jMatY.mean();
    compile.anova.residuals = jStat.residuals(jMatY, jMatYBar);

    compile.anova.ssr = jStat.ssr(jMatYBar, yAverage);
    compile.anova.msr = compile.anova.ssr / (jMatX[0].length - 1);

    compile.anova.sse = jStat.sse(jMatY, jMatYBar);
    compile.anova.mse =
        compile.anova.sse / (jMatY.length - (jMatX[0].length - 1) - 1);

    compile.anova.sst = jStat.sst(jMatY, yAverage);
    compile.anova.mst = compile.anova.sst / (jMatY.length - 1);

    compile.anova.r2 = 1 - (compile.anova.sse / compile.anova.sst);
    if (compile.anova.r2 < 0) compile.anova.r2 = 0;

    compile.anova.fratio = compile.anova.msr / compile.anova.mse;
    compile.anova.pvalue =
        jStat.anovaftest(compile.anova.fratio,
                         jMatX[0].length - 1,
                         jMatY.length - (jMatX[0].length - 1) - 1);

    compile.anova.rmse = Math.sqrt(compile.anova.mse);

    compile.anova.r2adj = 1 - (compile.anova.mse / compile.anova.mst);
    if (compile.anova.r2adj < 0) compile.anova.r2adj = 0;

    compile.stats = new Array(jMatX[0].length);
    var covar = jStat.xtranspxinv(jMatX);
    var sds, ts, ps;

    for(var i=0; i<beta.length;i++){
      sds=Math.sqrt(compile.anova.mse * Math.abs(covar[i][i]));
      ts= Math.abs(beta[i] / sds);
      ps= jStat.ttest(ts, jMatY.length - jMatX[0].length - 1, sides);

      compile.stats[i]=[beta[i], sds, ts, ps];
    }

    compile.regress = beta;
    return compile;
  },

  xtranspx: function xtranspx(jMatX){
    return jStat.matrixmult(jMatX.transpose(),jMatX);
  },


  xtranspxinv: function xtranspxinv(jMatX){
    var inner = jStat.matrixmult(jMatX.transpose(),jMatX);
    var innerinv = jStat.inv(inner);
    return innerinv;
  },

  jMatYBar: function jMatYBar(jMatX, beta) {
    var yBar = jStat.matrixmult(jMatX, beta);
    return new jStat(yBar);
  },

  residuals: function residuals(jMatY, jMatYBar) {
    return jStat.matrixsubtract(jMatY, jMatYBar);
  },

  ssr: function ssr(jMatYBar, yAverage) {
    var ssr = 0;
    for(var i = 0; i < jMatYBar.length; i++) {
      ssr += Math.pow(jMatYBar[i] - yAverage, 2);
    }
    return ssr;
  },

  sse: function sse(jMatY, jMatYBar) {
    var sse = 0;
    for(var i = 0; i < jMatY.length; i++) {
      sse += Math.pow(jMatY[i] - jMatYBar[i], 2);
    }
    return sse;
  },

  sst: function sst(jMatY, yAverage) {
    var sst = 0;
    for(var i = 0; i < jMatY.length; i++) {
      sst += Math.pow(jMatY[i] - yAverage, 2);
    }
    return sst;
  },

  matrixsubtract: function matrixsubtract(A,B){
    var ans = new Array(A.length);
    for(var i=0;i<A.length;i++){
      ans[i] = new Array(A[i].length);
      for(var j=0;j<A[i].length;j++){
        ans[i][j]=A[i][j]-B[i][j];
      }
    }
    return jStat(ans);
  }
});
  // Make it compatible with previous version.
  jStat.jStat = jStat;

  return jStat;
});


/***/ }),
/* 9 */
/***/ (function(module, exports, __webpack_require__) {

var utils = __webpack_require__(1);
var error = __webpack_require__(0);

exports.UNIQUE = function () {
  var result = [];
  for (var i = 0; i < arguments.length; ++i) {
    var hasElement = false;
    var element    = arguments[i];

    // Check if we've already seen this element.
    for (var j = 0; j < result.length; ++j) {
      hasElement = result[j] === element;
      if (hasElement) { break; }
    }

    // If we did not find it, add it to the result.
    if (!hasElement) {
      result.push(element);
    }
  }
  return result;
};

exports.FLATTEN = utils.flatten;

exports.ARGS2ARRAY = function () {
  return Array.prototype.slice.call(arguments, 0);
};

exports.REFERENCE = function (context, reference) {
  if (!arguments.length) {
    return error.error;
  }
  try {
    var path = reference.split('.');
    var result = context;
    for (var i = 0; i < path.length; ++i) {
      var step = path[i];
      if (step[step.length - 1] === ']') {
        var opening = step.indexOf('[');
        var index = step.substring(opening + 1, step.length - 1);
        result = result[step.substring(0, opening)][index];
      } else {
        result = result[step];
      }
    }
    return result;
  } catch (error) {}
};

exports.JOIN = function (array, separator) {
  return array.join(separator);
};

exports.NUMBERS = function () {
  var possibleNumbers = utils.flatten(arguments);
  return possibleNumbers.filter(function (el) {
    return typeof el === 'number';
  });
};


/***/ }),
/* 10 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var jStat = __webpack_require__(8);
var text = __webpack_require__(4);
var utils = __webpack_require__(1);
var bessel = __webpack_require__(13);

function isValidBinaryNumber(number) {
  return (/^[01]{1,10}$/).test(number);
}

exports.BESSELI = function(x, n) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  if (utils.anyIsError(x, n)) {
    return error.value;
  }

  return bessel.besseli(x, n);
};

exports.BESSELJ = function(x, n) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  if (utils.anyIsError(x, n)) {
    return error.value;
  }

  return bessel.besselj(x, n);
};

exports.BESSELK = function(x, n) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  if (utils.anyIsError(x, n)) {
    return error.value;
  }

  return bessel.besselk(x, n);
};

exports.BESSELY = function(x, n) {
  x = utils.parseNumber(x);
  n = utils.parseNumber(n);
  if (utils.anyIsError(x, n)) {
    return error.value;
  }

  return bessel.bessely(x, n);
};

exports.BIN2DEC = function(number) {
  // Return error if number is not binary or contains more than 10 characters (10 digits)
  if (!isValidBinaryNumber(number)) {
    return error.num;
  }

  // Convert binary number to decimal
  var result = parseInt(number, 2);

  // Handle negative numbers
  var stringified = number.toString();
  if (stringified.length === 10 && stringified.substring(0, 1) === '1') {
    return parseInt(stringified.substring(1), 2) - 512;
  } else {
    return result;
  }
};


exports.BIN2HEX = function(number, places) {
  // Return error if number is not binary or contains more than 10 characters (10 digits)
  if (!isValidBinaryNumber(number)) {
    return error.num;
  }

  // Ignore places and return a 10-character hexadecimal number if number is negative
  var stringified = number.toString();
  if (stringified.length === 10 && stringified.substring(0, 1) === '1') {
    return (1099511627264 + parseInt(stringified.substring(1), 2)).toString(16);
  }

  // Convert binary number to hexadecimal
  var result = parseInt(number, 2).toString(16);

  // Return hexadecimal number using the minimum number of characters necessary if places is undefined
  if (places === undefined) {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.BIN2OCT = function(number, places) {
  // Return error if number is not binary or contains more than 10 characters (10 digits)
  if (!isValidBinaryNumber(number)) {
    return error.num;
  }

  // Ignore places and return a 10-character octal number if number is negative
  var stringified = number.toString();
  if (stringified.length === 10 && stringified.substring(0, 1) === '1') {
    return (1073741312 + parseInt(stringified.substring(1), 2)).toString(8);
  }

  // Convert binary number to octal
  var result = parseInt(number, 2).toString(8);

  // Return octal number using the minimum number of characters necessary if places is undefined
  if (places === undefined) {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.BITAND = function(number1, number2) {
  // Return error if either number is a non-numeric value
  number1 = utils.parseNumber(number1);
  number2 = utils.parseNumber(number2);
  if (utils.anyIsError(number1, number2)) {
    return error.value;
  }

  // Return error if either number is less than 0
  if (number1 < 0 || number2 < 0) {
    return error.num;
  }

  // Return error if either number is a non-integer
  if (Math.floor(number1) !== number1 || Math.floor(number2) !== number2) {
    return error.num;
  }

  // Return error if either number is greater than (2^48)-1
  if (number1 > 281474976710655 || number2 > 281474976710655) {
    return error.num;
  }

  // Return bitwise AND of two numbers
  return number1 & number2;
};

exports.BITLSHIFT = function(number, shift) {
  number = utils.parseNumber(number);
  shift = utils.parseNumber(shift);
  if (utils.anyIsError(number, shift)) {
    return error.value;
  }

  // Return error if number is less than 0
  if (number < 0) {
    return error.num;
  }

  // Return error if number is a non-integer
  if (Math.floor(number) !== number) {
    return error.num;
  }

  // Return error if number is greater than (2^48)-1
  if (number > 281474976710655) {
    return error.num;
  }

  // Return error if the absolute value of shift is greater than 53
  if (Math.abs(shift) > 53) {
    return error.num;
  }

  // Return number shifted by shift bits to the left or to the right if shift is negative
  return (shift >= 0) ? number << shift : number >> -shift;
};

exports.BITOR = function(number1, number2) {
  number1 = utils.parseNumber(number1);
  number2 = utils.parseNumber(number2);
  if (utils.anyIsError(number1, number2)) {
    return error.value;
  }

  // Return error if either number is less than 0
  if (number1 < 0 || number2 < 0) {
    return error.num;
  }

  // Return error if either number is a non-integer
  if (Math.floor(number1) !== number1 || Math.floor(number2) !== number2) {
    return error.num;
  }

  // Return error if either number is greater than (2^48)-1
  if (number1 > 281474976710655 || number2 > 281474976710655) {
    return error.num;
  }

  // Return bitwise OR of two numbers
  return number1 | number2;
};

exports.BITRSHIFT = function(number, shift) {
  number = utils.parseNumber(number);
  shift = utils.parseNumber(shift);
  if (utils.anyIsError(number, shift)) {
    return error.value;
  }

  // Return error if number is less than 0
  if (number < 0) {
    return error.num;
  }

  // Return error if number is a non-integer
  if (Math.floor(number) !== number) {
    return error.num;
  }

  // Return error if number is greater than (2^48)-1
  if (number > 281474976710655) {
    return error.num;
  }

  // Return error if the absolute value of shift is greater than 53
  if (Math.abs(shift) > 53) {
    return error.num;
  }

  // Return number shifted by shift bits to the right or to the left if shift is negative
  return (shift >= 0) ? number >> shift : number << -shift;
};

exports.BITXOR = function(number1, number2) {
  number1 = utils.parseNumber(number1);
  number2 = utils.parseNumber(number2);
  if (utils.anyIsError(number1, number2)) {
    return error.value;
  }

  // Return error if either number is less than 0
  if (number1 < 0 || number2 < 0) {
    return error.num;
  }

  // Return error if either number is a non-integer
  if (Math.floor(number1) !== number1 || Math.floor(number2) !== number2) {
    return error.num;
  }

  // Return error if either number is greater than (2^48)-1
  if (number1 > 281474976710655 || number2 > 281474976710655) {
    return error.num;
  }

  // Return bitwise XOR of two numbers
  return number1 ^ number2;
};

exports.COMPLEX = function(real, imaginary, suffix) {
  real = utils.parseNumber(real);
  imaginary = utils.parseNumber(imaginary);
  if (utils.anyIsError(real, imaginary)) {
    return real;
  }

  // Set suffix
  suffix = (suffix === undefined) ? 'i' : suffix;

  // Return error if suffix is neither "i" nor "j"
  if (suffix !== 'i' && suffix !== 'j') {
    return error.value;
  }

  // Return complex number
  if (real === 0 && imaginary === 0) {
    return 0;
  } else if (real === 0) {
    return (imaginary === 1) ? suffix : imaginary.toString() + suffix;
  } else if (imaginary === 0) {
    return real.toString();
  } else {
    var sign = (imaginary > 0) ? '+' : '';
    return real.toString() + sign + ((imaginary === 1) ? suffix : imaginary.toString() + suffix);
  }
};

exports.CONVERT = function(number, from_unit, to_unit) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }

  // List of units supported by CONVERT and units defined by the International System of Units
  // [Name, Symbol, Alternate symbols, Quantity, ISU, CONVERT, Conversion ratio]
  var units = [
    ["a.u. of action", "?", null, "action", false, false, 1.05457168181818e-34],
    ["a.u. of charge", "e", null, "electric_charge", false, false, 1.60217653141414e-19],
    ["a.u. of energy", "Eh", null, "energy", false, false, 4.35974417757576e-18],
    ["a.u. of length", "a?", null, "length", false, false, 5.29177210818182e-11],
    ["a.u. of mass", "m?", null, "mass", false, false, 9.10938261616162e-31],
    ["a.u. of time", "?/Eh", null, "time", false, false, 2.41888432650516e-17],
    ["admiralty knot", "admkn", null, "speed", false, true, 0.514773333],
    ["ampere", "A", null, "electric_current", true, false, 1],
    ["ampere per meter", "A/m", null, "magnetic_field_intensity", true, false, 1],
    ["ångström", "Å", ["ang"], "length", false, true, 1e-10],
    ["are", "ar", null, "area", false, true, 100],
    ["astronomical unit", "ua", null, "length", false, false, 1.49597870691667e-11],
    ["bar", "bar", null, "pressure", false, false, 100000],
    ["barn", "b", null, "area", false, false, 1e-28],
    ["becquerel", "Bq", null, "radioactivity", true, false, 1],
    ["bit", "bit", ["b"], "information", false, true, 1],
    ["btu", "BTU", ["btu"], "energy", false, true, 1055.05585262],
    ["byte", "byte", null, "information", false, true, 8],
    ["candela", "cd", null, "luminous_intensity", true, false, 1],
    ["candela per square metre", "cd/m?", null, "luminance", true, false, 1],
    ["coulomb", "C", null, "electric_charge", true, false, 1],
    ["cubic ångström", "ang3", ["ang^3"], "volume", false, true, 1e-30],
    ["cubic foot", "ft3", ["ft^3"], "volume", false, true, 0.028316846592],
    ["cubic inch", "in3", ["in^3"], "volume", false, true, 0.000016387064],
    ["cubic light-year", "ly3", ["ly^3"], "volume", false, true, 8.46786664623715e-47],
    ["cubic metre", "m?", null, "volume", true, true, 1],
    ["cubic mile", "mi3", ["mi^3"], "volume", false, true, 4168181825.44058],
    ["cubic nautical mile", "Nmi3", ["Nmi^3"], "volume", false, true, 6352182208],
    ["cubic Pica", "Pica3", ["Picapt3", "Pica^3", "Picapt^3"], "volume", false, true, 7.58660370370369e-8],
    ["cubic yard", "yd3", ["yd^3"], "volume", false, true, 0.764554857984],
    ["cup", "cup", null, "volume", false, true, 0.0002365882365],
    ["dalton", "Da", ["u"], "mass", false, false, 1.66053886282828e-27],
    ["day", "d", ["day"], "time", false, true, 86400],
    ["degree", "°", null, "angle", false, false, 0.0174532925199433],
    ["degrees Rankine", "Rank", null, "temperature", false, true, 0.555555555555556],
    ["dyne", "dyn", ["dy"], "force", false, true, 0.00001],
    ["electronvolt", "eV", ["ev"], "energy", false, true, 1.60217656514141],
    ["ell", "ell", null, "length", false, true, 1.143],
    ["erg", "erg", ["e"], "energy", false, true, 1e-7],
    ["farad", "F", null, "electric_capacitance", true, false, 1],
    ["fluid ounce", "oz", null, "volume", false, true, 0.0000295735295625],
    ["foot", "ft", null, "length", false, true, 0.3048],
    ["foot-pound", "flb", null, "energy", false, true, 1.3558179483314],
    ["gal", "Gal", null, "acceleration", false, false, 0.01],
    ["gallon", "gal", null, "volume", false, true, 0.003785411784],
    ["gauss", "G", ["ga"], "magnetic_flux_density", false, true, 1],
    ["grain", "grain", null, "mass", false, true, 0.0000647989],
    ["gram", "g", null, "mass", false, true, 0.001],
    ["gray", "Gy", null, "absorbed_dose", true, false, 1],
    ["gross registered ton", "GRT", ["regton"], "volume", false, true, 2.8316846592],
    ["hectare", "ha", null, "area", false, true, 10000],
    ["henry", "H", null, "inductance", true, false, 1],
    ["hertz", "Hz", null, "frequency", true, false, 1],
    ["horsepower", "HP", ["h"], "power", false, true, 745.69987158227],
    ["horsepower-hour", "HPh", ["hh", "hph"], "energy", false, true, 2684519.538],
    ["hour", "h", ["hr"], "time", false, true, 3600],
    ["imperial gallon (U.K.)", "uk_gal", null, "volume", false, true, 0.00454609],
    ["imperial hundredweight", "lcwt", ["uk_cwt", "hweight"], "mass", false, true, 50.802345],
    ["imperial quart (U.K)", "uk_qt", null, "volume", false, true, 0.0011365225],
    ["imperial ton", "brton", ["uk_ton", "LTON"], "mass", false, true, 1016.046909],
    ["inch", "in", null, "length", false, true, 0.0254],
    ["international acre", "uk_acre", null, "area", false, true, 4046.8564224],
    ["IT calorie", "cal", null, "energy", false, true, 4.1868],
    ["joule", "J", null, "energy", true, true, 1],
    ["katal", "kat", null, "catalytic_activity", true, false, 1],
    ["kelvin", "K", ["kel"], "temperature", true, true, 1],
    ["kilogram", "kg", null, "mass", true, true, 1],
    ["knot", "kn", null, "speed", false, true, 0.514444444444444],
    ["light-year", "ly", null, "length", false, true, 9460730472580800],
    ["litre", "L", ["l", "lt"], "volume", false, true, 0.001],
    ["lumen", "lm", null, "luminous_flux", true, false, 1],
    ["lux", "lx", null, "illuminance", true, false, 1],
    ["maxwell", "Mx", null, "magnetic_flux", false, false, 1e-18],
    ["measurement ton", "MTON", null, "volume", false, true, 1.13267386368],
    ["meter per hour", "m/h", ["m/hr"], "speed", false, true, 0.00027777777777778],
    ["meter per second", "m/s", ["m/sec"], "speed", true, true, 1],
    ["meter per second squared", "m?s??", null, "acceleration", true, false, 1],
    ["parsec", "pc", ["parsec"], "length", false, true, 30856775814671900],
    ["meter squared per second", "m?/s", null, "kinematic_viscosity", true, false, 1],
    ["metre", "m", null, "length", true, true, 1],
    ["miles per hour", "mph", null, "speed", false, true, 0.44704],
    ["millimetre of mercury", "mmHg", null, "pressure", false, false, 133.322],
    ["minute", "?", null, "angle", false, false, 0.000290888208665722],
    ["minute", "min", ["mn"], "time", false, true, 60],
    ["modern teaspoon", "tspm", null, "volume", false, true, 0.000005],
    ["mole", "mol", null, "amount_of_substance", true, false, 1],
    ["morgen", "Morgen", null, "area", false, true, 2500],
    ["n.u. of action", "?", null, "action", false, false, 1.05457168181818e-34],
    ["n.u. of mass", "m?", null, "mass", false, false, 9.10938261616162e-31],
    ["n.u. of speed", "c?", null, "speed", false, false, 299792458],
    ["n.u. of time", "?/(me?c??)", null, "time", false, false, 1.28808866778687e-21],
    ["nautical mile", "M", ["Nmi"], "length", false, true, 1852],
    ["newton", "N", null, "force", true, true, 1],
    ["œrsted", "Oe ", null, "magnetic_field_intensity", false, false, 79.5774715459477],
    ["ohm", "Ω", null, "electric_resistance", true, false, 1],
    ["ounce mass", "ozm", null, "mass", false, true, 0.028349523125],
    ["pascal", "Pa", null, "pressure", true, false, 1],
    ["pascal second", "Pa?s", null, "dynamic_viscosity", true, false, 1],
    ["pferdestärke", "PS", null, "power", false, true, 735.49875],
    ["phot", "ph", null, "illuminance", false, false, 0.0001],
    ["pica (1/6 inch)", "pica", null, "length", false, true, 0.00035277777777778],
    ["pica (1/72 inch)", "Pica", ["Picapt"], "length", false, true, 0.00423333333333333],
    ["poise", "P", null, "dynamic_viscosity", false, false, 0.1],
    ["pond", "pond", null, "force", false, true, 0.00980665],
    ["pound force", "lbf", null, "force", false, true, 4.4482216152605],
    ["pound mass", "lbm", null, "mass", false, true, 0.45359237],
    ["quart", "qt", null, "volume", false, true, 0.000946352946],
    ["radian", "rad", null, "angle", true, false, 1],
    ["second", "?", null, "angle", false, false, 0.00000484813681109536],
    ["second", "s", ["sec"], "time", true, true, 1],
    ["short hundredweight", "cwt", ["shweight"], "mass", false, true, 45.359237],
    ["siemens", "S", null, "electrical_conductance", true, false, 1],
    ["sievert", "Sv", null, "equivalent_dose", true, false, 1],
    ["slug", "sg", null, "mass", false, true, 14.59390294],
    ["square ångström", "ang2", ["ang^2"], "area", false, true, 1e-20],
    ["square foot", "ft2", ["ft^2"], "area", false, true, 0.09290304],
    ["square inch", "in2", ["in^2"], "area", false, true, 0.00064516],
    ["square light-year", "ly2", ["ly^2"], "area", false, true, 8.95054210748189e+31],
    ["square meter", "m?", null, "area", true, true, 1],
    ["square mile", "mi2", ["mi^2"], "area", false, true, 2589988.110336],
    ["square nautical mile", "Nmi2", ["Nmi^2"], "area", false, true, 3429904],
    ["square Pica", "Pica2", ["Picapt2", "Pica^2", "Picapt^2"], "area", false, true, 0.00001792111111111],
    ["square yard", "yd2", ["yd^2"], "area", false, true, 0.83612736],
    ["statute mile", "mi", null, "length", false, true, 1609.344],
    ["steradian", "sr", null, "solid_angle", true, false, 1],
    ["stilb", "sb", null, "luminance", false, false, 0.0001],
    ["stokes", "St", null, "kinematic_viscosity", false, false, 0.0001],
    ["stone", "stone", null, "mass", false, true, 6.35029318],
    ["tablespoon", "tbs", null, "volume", false, true, 0.0000147868],
    ["teaspoon", "tsp", null, "volume", false, true, 0.00000492892],
    ["tesla", "T", null, "magnetic_flux_density", true, true, 1],
    ["thermodynamic calorie", "c", null, "energy", false, true, 4.184],
    ["ton", "ton", null, "mass", false, true, 907.18474],
    ["tonne", "t", null, "mass", false, false, 1000],
    ["U.K. pint", "uk_pt", null, "volume", false, true, 0.00056826125],
    ["U.S. bushel", "bushel", null, "volume", false, true, 0.03523907],
    ["U.S. oil barrel", "barrel", null, "volume", false, true, 0.158987295],
    ["U.S. pint", "pt", ["us_pt"], "volume", false, true, 0.000473176473],
    ["U.S. survey mile", "survey_mi", null, "length", false, true, 1609.347219],
    ["U.S. survey/statute acre", "us_acre", null, "area", false, true, 4046.87261],
    ["volt", "V", null, "voltage", true, false, 1],
    ["watt", "W", null, "power", true, true, 1],
    ["watt-hour", "Wh", ["wh"], "energy", false, true, 3600],
    ["weber", "Wb", null, "magnetic_flux", true, false, 1],
    ["yard", "yd", null, "length", false, true, 0.9144],
    ["year", "yr", null, "time", false, true, 31557600]
  ];

  // Binary prefixes
  // [Name, Prefix power of 2 value, Previx value, Abbreviation, Derived from]
  var binary_prefixes = {
    Yi: ["yobi", 80, 1208925819614629174706176, "Yi", "yotta"],
    Zi: ["zebi", 70, 1180591620717411303424, "Zi", "zetta"],
    Ei: ["exbi", 60, 1152921504606846976, "Ei", "exa"],
    Pi: ["pebi", 50, 1125899906842624, "Pi", "peta"],
    Ti: ["tebi", 40, 1099511627776, "Ti", "tera"],
    Gi: ["gibi", 30, 1073741824, "Gi", "giga"],
    Mi: ["mebi", 20, 1048576, "Mi", "mega"],
    ki: ["kibi", 10, 1024, "ki", "kilo"]
  };

  // Unit prefixes
  // [Name, Multiplier, Abbreviation]
  var unit_prefixes = {
    Y: ["yotta", 1e+24, "Y"],
    Z: ["zetta", 1e+21, "Z"],
    E: ["exa", 1e+18, "E"],
    P: ["peta", 1e+15, "P"],
    T: ["tera", 1e+12, "T"],
    G: ["giga", 1e+09, "G"],
    M: ["mega", 1e+06, "M"],
    k: ["kilo", 1e+03, "k"],
    h: ["hecto", 1e+02, "h"],
    e: ["dekao", 1e+01, "e"],
    d: ["deci", 1e-01, "d"],
    c: ["centi", 1e-02, "c"],
    m: ["milli", 1e-03, "m"],
    u: ["micro", 1e-06, "u"],
    n: ["nano", 1e-09, "n"],
    p: ["pico", 1e-12, "p"],
    f: ["femto", 1e-15, "f"],
    a: ["atto", 1e-18, "a"],
    z: ["zepto", 1e-21, "z"],
    y: ["yocto", 1e-24, "y"]
  };

  // Initialize units and multipliers
  var from = null;
  var to = null;
  var base_from_unit = from_unit;
  var base_to_unit = to_unit;
  var from_multiplier = 1;
  var to_multiplier = 1;
  var alt;

  // Lookup from and to units
  for (var i = 0; i < units.length; i++) {
    alt = (units[i][2] === null) ? [] : units[i][2];
    if (units[i][1] === base_from_unit || alt.indexOf(base_from_unit) >= 0) {
      from = units[i];
    }
    if (units[i][1] === base_to_unit || alt.indexOf(base_to_unit) >= 0) {
      to = units[i];
    }
  }

  // Lookup from prefix
  if (from === null) {
    var from_binary_prefix = binary_prefixes[from_unit.substring(0, 2)];
    var from_unit_prefix = unit_prefixes[from_unit.substring(0, 1)];

    // Handle dekao unit prefix (only unit prefix with two characters)
    if (from_unit.substring(0, 2) === 'da') {
      from_unit_prefix = ["dekao", 1e+01, "da"];
    }

    // Handle binary prefixes first (so that 'Yi' is processed before 'Y')
    if (from_binary_prefix) {
      from_multiplier = from_binary_prefix[2];
      base_from_unit = from_unit.substring(2);
    } else if (from_unit_prefix) {
      from_multiplier = from_unit_prefix[1];
      base_from_unit = from_unit.substring(from_unit_prefix[2].length);
    }

    // Lookup from unit
    for (var j = 0; j < units.length; j++) {
      alt = (units[j][2] === null) ? [] : units[j][2];
      if (units[j][1] === base_from_unit || alt.indexOf(base_from_unit) >= 0) {
        from = units[j];
      }
    }
  }

  // Lookup to prefix
  if (to === null) {
    var to_binary_prefix = binary_prefixes[to_unit.substring(0, 2)];
    var to_unit_prefix = unit_prefixes[to_unit.substring(0, 1)];

    // Handle dekao unit prefix (only unit prefix with two characters)
    if (to_unit.substring(0, 2) === 'da') {
      to_unit_prefix = ["dekao", 1e+01, "da"];
    }

    // Handle binary prefixes first (so that 'Yi' is processed before 'Y')
    if (to_binary_prefix) {
      to_multiplier = to_binary_prefix[2];
      base_to_unit = to_unit.substring(2);
    } else if (to_unit_prefix) {
      to_multiplier = to_unit_prefix[1];
      base_to_unit = to_unit.substring(to_unit_prefix[2].length);
    }

    // Lookup to unit
    for (var k = 0; k < units.length; k++) {
      alt = (units[k][2] === null) ? [] : units[k][2];
      if (units[k][1] === base_to_unit || alt.indexOf(base_to_unit) >= 0) {
        to = units[k];
      }
    }
  }

  // Return error if a unit does not exist
  if (from === null || to === null) {
    return error.na;
  }

  // Return error if units represent different quantities
  if (from[3] !== to[3]) {
    return error.na;
  }

  // Return converted number
  return number * from[6] * from_multiplier / (to[6] * to_multiplier);
};

exports.DEC2BIN = function(number, places) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }

  // Return error if number is not decimal, is lower than -512, or is greater than 511
  if (!/^-?[0-9]{1,3}$/.test(number) || number < -512 || number > 511) {
    return error.num;
  }

  // Ignore places and return a 10-character binary number if number is negative
  if (number < 0) {
    return '1' + text.REPT('0', 9 - (512 + number).toString(2).length) + (512 + number).toString(2);
  }

  // Convert decimal number to binary
  var result = parseInt(number, 10).toString(2);

  // Return binary number using the minimum number of characters necessary if places is undefined
  if (typeof places === 'undefined') {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.DEC2HEX = function(number, places) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }

  // Return error if number is not decimal, is lower than -549755813888, or is greater than 549755813887
  if (!/^-?[0-9]{1,12}$/.test(number) || number < -549755813888 || number > 549755813887) {
    return error.num;
  }

  // Ignore places and return a 10-character hexadecimal number if number is negative
  if (number < 0) {
    return (1099511627776 + number).toString(16);
  }

  // Convert decimal number to hexadecimal
  var result = parseInt(number, 10).toString(16);

  // Return hexadecimal number using the minimum number of characters necessary if places is undefined
  if (typeof places === 'undefined') {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.DEC2OCT = function(number, places) {
  number = utils.parseNumber(number);
  if (number instanceof Error) {
    return number;
  }

  // Return error if number is not decimal, is lower than -549755813888, or is greater than 549755813887
  if (!/^-?[0-9]{1,9}$/.test(number) || number < -536870912 || number > 536870911) {
    return error.num;
  }

  // Ignore places and return a 10-character octal number if number is negative
  if (number < 0) {
    return (1073741824 + number).toString(8);
  }

  // Convert decimal number to octal
  var result = parseInt(number, 10).toString(8);

  // Return octal number using the minimum number of characters necessary if places is undefined
  if (typeof places === 'undefined') {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.DELTA = function(number1, number2) {
  // Set number2 to zero if undefined
  number2 = (number2 === undefined) ? 0 : number2;
  number1 = utils.parseNumber(number1);
  number2 = utils.parseNumber(number2);
  if (utils.anyIsError(number1, number2)) {
    return error.value;
  }

  // Return delta
  return (number1 === number2) ? 1 : 0;
};

// TODO: why is upper_bound not used ? The excel documentation has no examples with upper_bound
exports.ERF = function(lower_bound, upper_bound) {
  // Set number2 to zero if undefined
  upper_bound = (upper_bound === undefined) ? 0 : upper_bound;

  lower_bound = utils.parseNumber(lower_bound);
  upper_bound = utils.parseNumber(upper_bound);
  if (utils.anyIsError(lower_bound, upper_bound)) {
    return error.value;
  }

  return jStat.erf(lower_bound);
};

// TODO
exports.ERF.PRECISE = function() {
  throw new Error('ERF.PRECISE is not implemented');
};

exports.ERFC = function(x) {
  // Return error if x is not a number
  if (isNaN(x)) {
    return error.value;
  }

  return jStat.erfc(x);
};

// TODO
exports.ERFC.PRECISE = function() {
  throw new Error('ERFC.PRECISE is not implemented');
};

exports.GESTEP = function(number, step) {
  step = step || 0;
  number = utils.parseNumber(number);
  if (utils.anyIsError(step, number)) {
    return number;
  }

  // Return delta
  return (number >= step) ? 1 : 0;
};

exports.HEX2BIN = function(number, places) {
  // Return error if number is not hexadecimal or contains more than ten characters (10 digits)
  if (!/^[0-9A-Fa-f]{1,10}$/.test(number)) {
    return error.num;
  }

  // Check if number is negative
  var negative = (number.length === 10 && number.substring(0, 1).toLowerCase() === 'f') ? true : false;

  // Convert hexadecimal number to decimal
  var decimal = (negative) ? parseInt(number, 16) - 1099511627776 : parseInt(number, 16);

  // Return error if number is lower than -512 or greater than 511
  if (decimal < -512 || decimal > 511) {
    return error.num;
  }

  // Ignore places and return a 10-character binary number if number is negative
  if (negative) {
    return '1' + text.REPT('0', 9 - (512 + decimal).toString(2).length) + (512 + decimal).toString(2);
  }

  // Convert decimal number to binary
  var result = decimal.toString(2);

  // Return binary number using the minimum number of characters necessary if places is undefined
  if (places === undefined) {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.HEX2DEC = function(number) {
  // Return error if number is not hexadecimal or contains more than ten characters (10 digits)
  if (!/^[0-9A-Fa-f]{1,10}$/.test(number)) {
    return error.num;
  }

  // Convert hexadecimal number to decimal
  var decimal = parseInt(number, 16);

  // Return decimal number
  return (decimal >= 549755813888) ? decimal - 1099511627776 : decimal;
};

exports.HEX2OCT = function(number, places) {
  // Return error if number is not hexadecimal or contains more than ten characters (10 digits)
  if (!/^[0-9A-Fa-f]{1,10}$/.test(number)) {
    return error.num;
  }

  // Convert hexadecimal number to decimal
  var decimal = parseInt(number, 16);

  // Return error if number is positive and greater than 0x1fffffff (536870911)
  if (decimal > 536870911 && decimal < 1098974756864) {
    return error.num;
  }

  // Ignore places and return a 10-character octal number if number is negative
  if (decimal >= 1098974756864) {
    return (decimal - 1098437885952).toString(8);
  }

  // Convert decimal number to octal
  var result = decimal.toString(8);

  // Return octal number using the minimum number of characters necessary if places is undefined
  if (places === undefined) {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.IMABS = function(inumber) {
  // Lookup real and imaginary coefficients using exports.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  // Return error if either coefficient is not a number
  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return absolute value of complex number
  return Math.sqrt(Math.pow(x, 2) + Math.pow(y, 2));
};

exports.IMAGINARY = function(inumber) {
  if (inumber === undefined || inumber === true || inumber === false) {
    return error.value;
  }

  // Return 0 if inumber is equal to 0
  if (inumber === 0 || inumber === '0') {
    return 0;
  }

  // Handle special cases
  if (['i', 'j'].indexOf(inumber) >= 0) {
    return 1;
  }

  // Normalize imaginary coefficient
  inumber = inumber.replace('+i', '+1i').replace('-i', '-1i').replace('+j', '+1j').replace('-j', '-1j');

  // Lookup sign
  var plus = inumber.indexOf('+');
  var minus = inumber.indexOf('-');
  if (plus === 0) {
    plus = inumber.indexOf('+', 1);
  }

  if (minus === 0) {
    minus = inumber.indexOf('-', 1);
  }

  // Lookup imaginary unit
  var last = inumber.substring(inumber.length - 1, inumber.length);
  var unit = (last === 'i' || last === 'j');

  if (plus >= 0 || minus >= 0) {
    // Return error if imaginary unit is neither i nor j
    if (!unit) {
      return error.num;
    }

    // Return imaginary coefficient of complex number
    if (plus >= 0) {
      return (isNaN(inumber.substring(0, plus)) || isNaN(inumber.substring(plus + 1, inumber.length - 1))) ?
        error.num :
        Number(inumber.substring(plus + 1, inumber.length - 1));
    } else {
      return (isNaN(inumber.substring(0, minus)) || isNaN(inumber.substring(minus + 1, inumber.length - 1))) ?
        error.num :
        -Number(inumber.substring(minus + 1, inumber.length - 1));
    }
  } else {
    if (unit) {
      return (isNaN(inumber.substring(0, inumber.length - 1))) ? error.num : inumber.substring(0, inumber.length - 1);
    } else {
      return (isNaN(inumber)) ? error.num : 0;
    }
  }
};

exports.IMARGUMENT = function(inumber) {
  // Lookup real and imaginary coefficients using exports.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  // Return error if either coefficient is not a number
  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return error if inumber is equal to zero
  if (x === 0 && y === 0) {
    return error.div0;
  }

  // Return PI/2 if x is equal to zero and y is positive
  if (x === 0 && y > 0) {
    return Math.PI / 2;
  }

  // Return -PI/2 if x is equal to zero and y is negative
  if (x === 0 && y < 0) {
    return -Math.PI / 2;
  }

  // Return zero if x is negative and y is equal to zero
  if (y === 0 && x > 0) {
    return 0;
  }

  // Return zero if x is negative and y is equal to zero
  if (y === 0 && x < 0) {
    return -Math.PI;
  }

  // Return argument of complex number
  if (x > 0) {
    return Math.atan(y / x);
  } else if (x < 0 && y >= 0) {
    return Math.atan(y / x) + Math.PI;
  } else {
    return Math.atan(y / x) - Math.PI;
  }
};

exports.IMCONJUGATE = function(inumber) {
  // Lookup real and imaginary coefficients using exports.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return conjugate of complex number
  return (y !== 0) ? exports.COMPLEX(x, -y, unit) : inumber;
};

exports.IMCOS = function(inumber) {
  // Lookup real and imaginary coefficients using exports.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return cosine of complex number
  return exports.COMPLEX(Math.cos(x) * (Math.exp(y) + Math.exp(-y)) / 2, -Math.sin(x) * (Math.exp(y) - Math.exp(-y)) / 2, unit);
};

exports.IMCOSH = function(inumber) {
  // Lookup real and imaginary coefficients using exports.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return hyperbolic cosine of complex number
  return exports.COMPLEX(Math.cos(y) * (Math.exp(x) + Math.exp(-x)) / 2, Math.sin(y) * (Math.exp(x) - Math.exp(-x)) / 2, unit);
};

exports.IMCOT = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return cotangent of complex number
  return exports.IMDIV(exports.IMCOS(inumber), exports.IMSIN(inumber));
};

exports.IMDIV = function(inumber1, inumber2) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var a = exports.IMREAL(inumber1);
  var b = exports.IMAGINARY(inumber1);
  var c = exports.IMREAL(inumber2);
  var d = exports.IMAGINARY(inumber2);

  if (utils.anyIsError(a, b, c, d)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit1 = inumber1.substring(inumber1.length - 1);
  var unit2 = inumber2.substring(inumber2.length - 1);
  var unit = 'i';
  if (unit1 === 'j') {
    unit = 'j';
  } else if (unit2 === 'j') {
    unit = 'j';
  }

  // Return error if inumber2 is null
  if (c === 0 && d === 0) {
    return error.num;
  }

  // Return exponential of complex number
  var den = c * c + d * d;
  return exports.COMPLEX((a * c + b * d) / den, (b * c - a * d) / den, unit);
};

exports.IMEXP = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return exponential of complex number
  var e = Math.exp(x);
  return exports.COMPLEX(e * Math.cos(y), e * Math.sin(y), unit);
};

exports.IMLN = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return exponential of complex number
  return exports.COMPLEX(Math.log(Math.sqrt(x * x + y * y)), Math.atan(y / x), unit);
};

exports.IMLOG10 = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return exponential of complex number
  return exports.COMPLEX(Math.log(Math.sqrt(x * x + y * y)) / Math.log(10), Math.atan(y / x) / Math.log(10), unit);
};

exports.IMLOG2 = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return exponential of complex number
  return exports.COMPLEX(Math.log(Math.sqrt(x * x + y * y)) / Math.log(2), Math.atan(y / x) / Math.log(2), unit);
};

exports.IMPOWER = function(inumber, number) {
  number = utils.parseNumber(number);
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);
  if (utils.anyIsError(number, x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Calculate power of modulus
  var p = Math.pow(exports.IMABS(inumber), number);

  // Calculate argument
  var t = exports.IMARGUMENT(inumber);

  // Return exponential of complex number
  return exports.COMPLEX(p * Math.cos(number * t), p * Math.sin(number * t), unit);
};

exports.IMPRODUCT = function() {
  // Initialize result
  var result = arguments[0];

  if (!arguments.length) {
    return error.value;
  }

  // Loop on all numbers
  for (var i = 1; i < arguments.length; i++) {
    // Lookup coefficients of two complex numbers
    var a = exports.IMREAL(result);
    var b = exports.IMAGINARY(result);
    var c = exports.IMREAL(arguments[i]);
    var d = exports.IMAGINARY(arguments[i]);

    if (utils.anyIsError(a, b, c, d)) {
      return error.value;
    }

    // Complute product of two complex numbers
    result = exports.COMPLEX(a * c - b * d, a * d + b * c);
  }

  // Return product of complex numbers
  return result;
};

exports.IMREAL = function(inumber) {
  if (inumber === undefined || inumber === true || inumber === false) {
    return error.value;
  }

  // Return 0 if inumber is equal to 0
  if (inumber === 0 || inumber === '0') {
    return 0;
  }

  // Handle special cases
  if (['i', '+i', '1i', '+1i', '-i', '-1i', 'j', '+j', '1j', '+1j', '-j', '-1j'].indexOf(inumber) >= 0) {
    return 0;
  }

  // Lookup sign
  var plus = inumber.indexOf('+');
  var minus = inumber.indexOf('-');
  if (plus === 0) {
    plus = inumber.indexOf('+', 1);
  }
  if (minus === 0) {
    minus = inumber.indexOf('-', 1);
  }

  // Lookup imaginary unit
  var last = inumber.substring(inumber.length - 1, inumber.length);
  var unit = (last === 'i' || last === 'j');

  if (plus >= 0 || minus >= 0) {
    // Return error if imaginary unit is neither i nor j
    if (!unit) {
      return error.num;
    }

    // Return real coefficient of complex number
    if (plus >= 0) {
      return (isNaN(inumber.substring(0, plus)) || isNaN(inumber.substring(plus + 1, inumber.length - 1))) ?
        error.num :
        Number(inumber.substring(0, plus));
    } else {
      return (isNaN(inumber.substring(0, minus)) || isNaN(inumber.substring(minus + 1, inumber.length - 1))) ?
        error.num :
        Number(inumber.substring(0, minus));
    }
  } else {
    if (unit) {
      return (isNaN(inumber.substring(0, inumber.length - 1))) ? error.num : 0;
    } else {
      return (isNaN(inumber)) ? error.num : inumber;
    }
  }
};

exports.IMSEC = function(inumber) {
  // Return error if inumber is a logical value
  if (inumber === true || inumber === false) {
    return error.value;
  }

  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return secant of complex number
  return exports.IMDIV('1', exports.IMCOS(inumber));
};

exports.IMSECH = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return hyperbolic secant of complex number
  return exports.IMDIV('1', exports.IMCOSH(inumber));
};

exports.IMSIN = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return sine of complex number
  return exports.COMPLEX(Math.sin(x) * (Math.exp(y) + Math.exp(-y)) / 2, Math.cos(x) * (Math.exp(y) - Math.exp(-y)) / 2, unit);
};

exports.IMSINH = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Return hyperbolic sine of complex number
  return exports.COMPLEX(Math.cos(y) * (Math.exp(x) - Math.exp(-x)) / 2, Math.sin(y) * (Math.exp(x) + Math.exp(-x)) / 2, unit);
};

exports.IMSQRT = function(inumber) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit = inumber.substring(inumber.length - 1);
  unit = (unit === 'i' || unit === 'j') ? unit : 'i';

  // Calculate power of modulus
  var s = Math.sqrt(exports.IMABS(inumber));

  // Calculate argument
  var t = exports.IMARGUMENT(inumber);

  // Return exponential of complex number
  return exports.COMPLEX(s * Math.cos(t / 2), s * Math.sin(t / 2), unit);
};

exports.IMCSC = function (inumber) {
  // Return error if inumber is a logical value
  if (inumber === true || inumber === false) {
    return error.value;
  }

  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  // Return error if either coefficient is not a number
  if (utils.anyIsError(x, y)) {
    return error.num;
  }

  // Return cosecant of complex number
  return exports.IMDIV('1', exports.IMSIN(inumber));
};

exports.IMCSCH = function (inumber) {
  // Return error if inumber is a logical value
  if (inumber === true || inumber === false) {
    return error.value;
  }

  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  // Return error if either coefficient is not a number
  if (utils.anyIsError(x, y)) {
    return error.num;
  }

  // Return hyperbolic cosecant of complex number
  return exports.IMDIV('1', exports.IMSINH(inumber));
};

exports.IMSUB = function(inumber1, inumber2) {
  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var a = this.IMREAL(inumber1);
  var b = this.IMAGINARY(inumber1);
  var c = this.IMREAL(inumber2);
  var d = this.IMAGINARY(inumber2);

  if (utils.anyIsError(a, b, c, d)) {
    return error.value;
  }

  // Lookup imaginary unit
  var unit1 = inumber1.substring(inumber1.length - 1);
  var unit2 = inumber2.substring(inumber2.length - 1);
  var unit = 'i';
  if (unit1 === 'j') {
    unit = 'j';
  } else if (unit2 === 'j') {
    unit = 'j';
  }

  // Return _ of two complex numbers
  return this.COMPLEX(a - c, b - d, unit);
};

exports.IMSUM = function() {
  if (!arguments.length) {
    return error.value;
  }
  var args = utils.flatten(arguments);

  // Initialize result
  var result = args[0];

  // Loop on all numbers
  for (var i = 1; i < args.length; i++) {
    // Lookup coefficients of two complex numbers
    var a = this.IMREAL(result);
    var b = this.IMAGINARY(result);
    var c = this.IMREAL(args[i]);
    var d = this.IMAGINARY(args[i]);

    if (utils.anyIsError(a, b, c, d)) {
      return error.value;
    }

    // Complute product of two complex numbers
    result = this.COMPLEX(a + c, b + d);
  }

  // Return sum of complex numbers
  return result;
};

exports.IMTAN = function(inumber) {
  // Return error if inumber is a logical value
  if (inumber === true || inumber === false) {
    return error.value;
  }

  // Lookup real and imaginary coefficients using Formula.js [http://formulajs.org]
  var x = exports.IMREAL(inumber);
  var y = exports.IMAGINARY(inumber);

  if (utils.anyIsError(x, y)) {
    return error.value;
  }

  // Return tangent of complex number
  return this.IMDIV(this.IMSIN(inumber), this.IMCOS(inumber));
};

exports.OCT2BIN = function(number, places) {
  // Return error if number is not hexadecimal or contains more than ten characters (10 digits)
  if (!/^[0-7]{1,10}$/.test(number)) {
    return error.num;
  }

  // Check if number is negative
  var negative = (number.length === 10 && number.substring(0, 1) === '7') ? true : false;

  // Convert octal number to decimal
  var decimal = (negative) ? parseInt(number, 8) - 1073741824 : parseInt(number, 8);

  // Return error if number is lower than -512 or greater than 511
  if (decimal < -512 || decimal > 511) {
    return error.num;
  }

  // Ignore places and return a 10-character binary number if number is negative
  if (negative) {
    return '1' + text.REPT('0', 9 - (512 + decimal).toString(2).length) + (512 + decimal).toString(2);
  }

  // Convert decimal number to binary
  var result = decimal.toString(2);

  // Return binary number using the minimum number of characters necessary if places is undefined
  if (typeof places === 'undefined') {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};

exports.OCT2DEC = function(number) {
  // Return error if number is not octal or contains more than ten characters (10 digits)
  if (!/^[0-7]{1,10}$/.test(number)) {
    return error.num;
  }

  // Convert octal number to decimal
  var decimal = parseInt(number, 8);

  // Return decimal number
  return (decimal >= 536870912) ? decimal - 1073741824 : decimal;
};

exports.OCT2HEX = function(number, places) {
  // Return error if number is not octal or contains more than ten characters (10 digits)
  if (!/^[0-7]{1,10}$/.test(number)) {
    return error.num;
  }

  // Convert octal number to decimal
  var decimal = parseInt(number, 8);

  // Ignore places and return a 10-character octal number if number is negative
  if (decimal >= 536870912) {
    return 'ff' + (decimal + 3221225472).toString(16);
  }

  // Convert decimal number to hexadecimal
  var result = decimal.toString(16);

  // Return hexadecimal number using the minimum number of characters necessary if places is undefined
  if (places === undefined) {
    return result;
  } else {
    // Return error if places is nonnumeric
    if (isNaN(places)) {
      return error.value;
    }

    // Return error if places is negative
    if (places < 0) {
      return error.num;
    }

    // Truncate places in case it is not an integer
    places = Math.floor(places);

    // Pad return value with leading 0s (zeros) if necessary (using Underscore.string)
    return (places >= result.length) ? text.REPT('0', places - result.length) + result : error.num;
  }
};


/***/ }),
/* 11 */
/***/ (function(module, exports, __webpack_require__) {

var categories = [
  __webpack_require__(12),
  __webpack_require__(14),
  __webpack_require__(10),
  __webpack_require__(15),
  __webpack_require__(2),
  __webpack_require__(4),
  __webpack_require__(7),
  __webpack_require__(16),
  __webpack_require__(6),
  __webpack_require__(17),
  __webpack_require__(3),
  __webpack_require__(9)
];

for (var c in categories) {
  var category = categories[c];
  for (var f in category) {
    exports[f] = exports[f] || category[f];
  }
}


/***/ }),
/* 12 */
/***/ (function(module, exports, __webpack_require__) {

var mathTrig = __webpack_require__(2);
var statistical = __webpack_require__(3);
var engineering = __webpack_require__(10);
var dateTime = __webpack_require__(7);

function set(fn, root) {
  if (root) {
    for (var i in root) {
      fn[i] = root[i];
    }
  }

  return fn;
}

exports.BETADIST = statistical.BETA.DIST;
exports.BETAINV = statistical.BETA.INV;
exports.BINOMDIST = statistical.BINOM.DIST;
exports.CEILING = exports.ISOCEILING = set(mathTrig.CEILING.MATH, mathTrig.CEILING);
exports.CEILINGMATH = mathTrig.CEILING.MATH;
exports.CEILINGPRECISE = mathTrig.CEILING.PRECISE;
exports.CHIDIST = statistical.CHISQ.DIST;
exports.CHIDISTRT = statistical.CHISQ.DIST.RT;
exports.CHIINV = statistical.CHISQ.INV;
exports.CHIINVRT = statistical.CHISQ.INV.RT;
exports.CHITEST = statistical.CHISQ.TEST;
exports.CONFIDENCE = set(statistical.CONFIDENCE.NORM, statistical.CONFIDENCE);
exports.COVAR = statistical.COVARIANCE.P;
exports.COVARIANCEP = statistical.COVARIANCE.P;
exports.COVARIANCES = statistical.COVARIANCE.S;
exports.CRITBINOM = statistical.BINOM.INV;
exports.EXPONDIST = statistical.EXPON.DIST;
exports.ERFCPRECISE = engineering.ERFC.PRECISE;
exports.ERFPRECISE = engineering.ERF.PRECISE;
exports.FDIST = statistical.F.DIST;
exports.FDISTRT = statistical.F.DIST.RT;
exports.FINVRT = statistical.F.INV.RT;
exports.FINV = statistical.F.INV;
exports.FLOOR = set(mathTrig.FLOOR.MATH, mathTrig.FLOOR);
exports.FLOORMATH = mathTrig.FLOOR.MATH;
exports.FLOORPRECISE = mathTrig.FLOOR.PRECISE;
exports.FTEST = statistical.F.TEST;
exports.GAMMADIST = statistical.GAMMA.DIST;
exports.GAMMAINV = statistical.GAMMA.INV;
exports.GAMMALNPRECISE = statistical.GAMMALN.PRECISE;
exports.HYPGEOMDIST = statistical.HYPGEOM.DIST;
exports.LOGINV = statistical.LOGNORM.INV;
exports.LOGNORMINV = statistical.LOGNORM.INV;
exports.LOGNORMDIST = statistical.LOGNORM.DIST;
exports.MODE = set(statistical.MODE.SNGL, statistical.MODE);
exports.MODEMULT = statistical.MODE.MULT;
exports.MODESNGL = statistical.MODE.SNGL;
exports.NEGBINOMDIST = statistical.NEGBINOM.DIST;
exports.NETWORKDAYSINTL = dateTime.NETWORKDAYS.INTL;
exports.NORMDIST = statistical.NORM.DIST;
exports.NORMINV = statistical.NORM.INV;
exports.NORMSDIST = statistical.NORM.S.DIST;
exports.NORMSINV = statistical.NORM.S.INV;
exports.PERCENTILE = set(statistical.PERCENTILE.EXC, statistical.PERCENTILE);
exports.PERCENTILEEXC = statistical.PERCENTILE.EXC;
exports.PERCENTILEINC = statistical.PERCENTILE.INC;
exports.PERCENTRANK = set(statistical.PERCENTRANK.INC, statistical.PERCENTRANK);
exports.PERCENTRANKEXC = statistical.PERCENTRANK.EXC;
exports.PERCENTRANKINC = statistical.PERCENTRANK.INC;
exports.POISSON = set(statistical.POISSON.DIST, statistical.POISSON);
exports.POISSONDIST = statistical.POISSON.DIST;
exports.QUARTILE = set(statistical.QUARTILE.INC, statistical.QUARTILE);
exports.QUARTILEEXC = statistical.QUARTILE.EXC;
exports.QUARTILEINC = statistical.QUARTILE.INC;
exports.RANK = set(statistical.RANK.EQ, statistical.RANK);
exports.RANKAVG = statistical.RANK.AVG;
exports.RANKEQ = statistical.RANK.EQ;
exports.SKEWP = statistical.SKEW.P;
exports.STDEV = set(statistical.STDEV.S, statistical.STDEV);
exports.STDEVP = statistical.STDEV.P;
exports.STDEVS = statistical.STDEV.S;
exports.TDIST = statistical.T.DIST;
exports.TDISTRT = statistical.T.DIST.RT;
exports.TINV = statistical.T.INV;
exports.TTEST = statistical.T.TEST;
exports.VAR = set(statistical.VAR.S, statistical.VAR);
exports.VARP = statistical.VAR.P;
exports.VARS = statistical.VAR.S;
exports.WEIBULL = set(statistical.WEIBULL.DIST, statistical.WEIBULL);
exports.WEIBULLDIST = statistical.WEIBULL.DIST;
exports.WORKDAYINTL = dateTime.WORKDAY.INTL;
exports.ZTEST = statistical.Z.TEST;


/***/ }),
/* 13 */
/***/ (function(module, exports, __webpack_require__) {

/* bessel.js (C) 2013-present SheetJS -- http://sheetjs.com */
/* vim: set ts=2: */
/*exported BESSEL */
var BESSEL;
(function (factory) {
  /*jshint ignore:start */
  if(typeof DO_NOT_EXPORT_BESSEL === 'undefined') {
    if(true) {
      factory(exports);
    } else if ('function' === typeof define && define.amd) {
      define(function () {
        var module = {};
        factory(module);
        return module;
      });
    } else {
      factory(BESSEL = {});
    }
  } else {
    factory(BESSEL = {});
  }
  /*jshint ignore:end */
}(function(BESSEL) {
BESSEL.version = '1.0.2';
var M = Math;

function _horner(arr, v) { for(var i = 0, z = 0; i < arr.length; ++i) z = v * z + arr[i]; return z; }
function _bessel_iter(x, n, f0, f1, sign) {
  if(n === 0) return f0;
  if(n === 1) return f1;
  var tdx = 2 / x, f2 = f1;
  for(var o = 1; o < n; ++o) {
    f2 = f1 * o * tdx + sign * f0;
    f0 = f1; f1 = f2;
  }
  return f2;
}
function _bessel_wrap(bessel0, bessel1, name, nonzero, sign) {
  return function bessel(x,n) {
    if(nonzero) {
      if(x === 0) return (nonzero == 1 ? -Infinity : Infinity);
      else if(x < 0) return NaN;
    }
    if(n === 0) return bessel0(x);
    if(n === 1) return bessel1(x);
    if(n < 0) return NaN;
    n|=0;
    var b0 = bessel0(x), b1 = bessel1(x);
    return _bessel_iter(x, n, b0, b1, sign);
  };
}
var besselj = (function() {
  var W = 0.636619772; // 2 / Math.PI

  var b0_a1a = [57568490574.0, -13362590354.0, 651619640.7, -11214424.18, 77392.33017, -184.9052456].reverse();
  var b0_a2a = [57568490411.0, 1029532985.0, 9494680.718, 59272.64853, 267.8532712, 1.0].reverse();
  var b0_a1b = [1.0, -0.1098628627e-2, 0.2734510407e-4, -0.2073370639e-5, 0.2093887211e-6].reverse();
  var b0_a2b = [-0.1562499995e-1, 0.1430488765e-3, -0.6911147651e-5, 0.7621095161e-6, -0.934935152e-7].reverse();

  function bessel0(x) {
    var a=0, a1=0, a2=0, y = x * x;
    if(x < 8) {
      a1 = _horner(b0_a1a, y);
      a2 = _horner(b0_a2a, y);
      a = a1 / a2;
    } else {
      var xx = x - 0.785398164;
      y = 64 / y;
      a1 = _horner(b0_a1b, y);
      a2 = _horner(b0_a2b, y);
      a = M.sqrt(W/x)*(M.cos(xx)*a1-M.sin(xx)*a2*8/x);
    }
    return a;
  }

  var b1_a1a = [72362614232.0, -7895059235.0, 242396853.1, -2972611.439, 15704.48260, -30.16036606].reverse();
  var b1_a2a = [144725228442.0, 2300535178.0, 18583304.74, 99447.43394, 376.9991397, 1.0].reverse();
  var b1_a1b = [1.0, 0.183105e-2, -0.3516396496e-4, 0.2457520174e-5, -0.240337019e-6].reverse();
  var b1_a2b = [0.04687499995, -0.2002690873e-3, 0.8449199096e-5, -0.88228987e-6, 0.105787412e-6].reverse();

  function bessel1(x) {
    var a=0, a1=0, a2=0, y = x*x, xx = M.abs(x) - 2.356194491;
    if(Math.abs(x)< 8) {
      a1 = x*_horner(b1_a1a, y);
      a2 = _horner(b1_a2a, y);
      a = a1 / a2;
    } else {
      y = 64 / y;
      a1=_horner(b1_a1b, y);
      a2=_horner(b1_a2b, y);
      a=M.sqrt(W/M.abs(x))*(M.cos(xx)*a1-M.sin(xx)*a2*8/M.abs(x));
      if(x < 0) a = -a;
    }
    return a;
  }

  return function besselj(x, n) {
    n = Math.round(n);
    if(!isFinite(x)) return isNaN(x) ? x : 0;
    if(n < 0) return ((n%2)?-1:1)*besselj(x, -n);
    if(x < 0) return ((n%2)?-1:1)*besselj(-x, n);
    if(n === 0) return bessel0(x);
    if(n === 1) return bessel1(x);
    if(x === 0) return 0;

    var ret=0.0;
    if(x > n) {
      ret = _bessel_iter(x, n, bessel0(x), bessel1(x),-1);
    } else {
      var m=2*M.floor((n+M.floor(M.sqrt(40*n)))/2);
      var jsum=false;
      var bjp=0.0, sum=0.0;
      var bj=1.0, bjm = 0.0;
      var tox = 2 / x;
      for (var j=m;j>0;j--) {
        bjm=j*tox*bj-bjp;
        bjp=bj;
        bj=bjm;
        if (M.abs(bj) > 1E10) {
          bj *= 1E-10;
          bjp *= 1E-10;
          ret *= 1E-10;
          sum *= 1E-10;
        }
        if (jsum) sum += bj;
        jsum=!jsum;
        if (j == n) ret=bjp;
      }
      sum=2.0*sum-bj;
      ret /= sum;
    }
    return ret;
  };
})();
var bessely = (function() {
  var W = 0.636619772;

  var b0_a1a = [-2957821389.0, 7062834065.0, -512359803.6, 10879881.29, -86327.92757, 228.4622733].reverse();
  var b0_a2a = [40076544269.0, 745249964.8, 7189466.438, 47447.26470, 226.1030244, 1.0].reverse();
  var b0_a1b = [1.0, -0.1098628627e-2, 0.2734510407e-4, -0.2073370639e-5, 0.2093887211e-6].reverse();
  var b0_a2b = [-0.1562499995e-1, 0.1430488765e-3, -0.6911147651e-5, 0.7621095161e-6, -0.934945152e-7].reverse();

  function bessel0(x) {
    var a=0, a1=0, a2=0, y = x * x, xx = x - 0.785398164;
    if(x < 8) {
      a1 = _horner(b0_a1a, y);
      a2 = _horner(b0_a2a, y);
      a = a1/a2 + W * besselj(x,0) * M.log(x);
    } else {
      y = 64 / y;
      a1 = _horner(b0_a1b, y);
      a2 = _horner(b0_a2b, y);
      a = M.sqrt(W/x)*(M.sin(xx)*a1+M.cos(xx)*a2*8/x);
    }
    return a;
  }

  var b1_a1a = [-0.4900604943e13, 0.1275274390e13, -0.5153438139e11, 0.7349264551e9, -0.4237922726e7, 0.8511937935e4].reverse();
  var b1_a2a = [0.2499580570e14, 0.4244419664e12, 0.3733650367e10, 0.2245904002e8, 0.1020426050e6, 0.3549632885e3, 1].reverse();
  var b1_a1b = [1.0, 0.183105e-2, -0.3516396496e-4, 0.2457520174e-5, -0.240337019e-6].reverse();
  var b1_a2b = [0.04687499995, -0.2002690873e-3, 0.8449199096e-5, -0.88228987e-6, 0.105787412e-6].reverse();

  function bessel1(x) {
    var a=0, a1=0, a2=0, y = x*x, xx = x - 2.356194491;
    if(x < 8) {
      a1 = x*_horner(b1_a1a, y);
      a2 = _horner(b1_a2a, y);
      a = a1/a2 + W * (besselj(x,1) * M.log(x) - 1 / x);
    } else {
      y = 64 / y;
      a1=_horner(b1_a1b, y);
      a2=_horner(b1_a2b, y);
      a=M.sqrt(W/x)*(M.sin(xx)*a1+M.cos(xx)*a2*8/x);
    }
    return a;
  }

  return _bessel_wrap(bessel0, bessel1, 'BESSELY', 1, -1);
})();
var besseli = (function() {
  var b0_a = [1.0, 3.5156229, 3.0899424, 1.2067492, 0.2659732, 0.360768e-1, 0.45813e-2].reverse();
  var b0_b = [0.39894228, 0.1328592e-1, 0.225319e-2, -0.157565e-2, 0.916281e-2, -0.2057706e-1, 0.2635537e-1, -0.1647633e-1, 0.392377e-2].reverse();

  function bessel0(x) {
    if(x <= 3.75) return _horner(b0_a, x*x/(3.75*3.75));
    return M.exp(M.abs(x))/M.sqrt(M.abs(x))*_horner(b0_b, 3.75/M.abs(x));
  }

  var b1_a = [0.5, 0.87890594, 0.51498869, 0.15084934, 0.2658733e-1, 0.301532e-2, 0.32411e-3].reverse();
  var b1_b = [0.39894228, -0.3988024e-1, -0.362018e-2, 0.163801e-2, -0.1031555e-1, 0.2282967e-1, -0.2895312e-1, 0.1787654e-1, -0.420059e-2].reverse();

  function bessel1(x) {
    if(x < 3.75) return x * _horner(b1_a, x*x/(3.75*3.75));
    return (x < 0 ? -1 : 1) * M.exp(M.abs(x))/M.sqrt(M.abs(x))*_horner(b1_b, 3.75/M.abs(x));
  }

  return function besseli(x, n) {
    n = Math.round(n);
    if(n === 0) return bessel0(x);
    if(n === 1) return bessel1(x);
    if(n < 0) return NaN;
    if(M.abs(x) === 0) return 0;
    if(x == Infinity) return Infinity;

    var ret = 0.0, j, tox = 2 / M.abs(x), bip = 0.0, bi=1.0, bim=0.0;
    var m=2*M.round((n+M.round(M.sqrt(40*n)))/2);
    for (j=m;j>0;j--) {
      bim=j*tox*bi + bip;
      bip=bi; bi=bim;
      if (M.abs(bi) > 1E10) {
        bi *= 1E-10;
        bip *= 1E-10;
        ret *= 1E-10;
      }
      if(j == n) ret = bip;
    }
    ret *= besseli(x, 0) / bi;
    return x < 0 && (n%2) ? -ret : ret;
  };

})();

var besselk = (function() {
  var b0_a = [-0.57721566, 0.42278420, 0.23069756, 0.3488590e-1, 0.262698e-2, 0.10750e-3, 0.74e-5].reverse();
  var b0_b = [1.25331414, -0.7832358e-1, 0.2189568e-1, -0.1062446e-1, 0.587872e-2, -0.251540e-2, 0.53208e-3].reverse();

  function bessel0(x) {
    if(x <= 2) return -M.log(x/2) * besseli(x,0) + _horner(b0_a, x*x/4);
    return M.exp(-x) / M.sqrt(x) * _horner(b0_b, 2/x);
  }

  var b1_a = [1.0, 0.15443144, -0.67278579, -0.18156897, -0.1919402e-1, -0.110404e-2, -0.4686e-4].reverse();
  var b1_b = [1.25331414, 0.23498619, -0.3655620e-1, 0.1504268e-1, -0.780353e-2, 0.325614e-2, -0.68245e-3].reverse();

  function bessel1(x) {
    if(x <= 2) return M.log(x/2) * besseli(x,1) + (1/x) * _horner(b1_a, x*x/4);
    return M.exp(-x)/M.sqrt(x)*_horner(b1_b, 2/x);
  }

  return _bessel_wrap(bessel0, bessel1, 'BESSELK', 2, 1);
})();
BESSEL.besselj = besselj;
BESSEL.bessely = bessely;
BESSEL.besseli = besseli;
BESSEL.besselk = besselk;
}));


/***/ }),
/* 14 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var stats = __webpack_require__(3);
var maths = __webpack_require__(2);
var utils = __webpack_require__(1);
var evalExpression = __webpack_require__(5);

function compact(array) {
  var result = [];

  utils.arrayEach(array, function(value) {
    if (value) {
      result.push(value);
    }
  });

  return result;
}

exports.FINDFIELD = function(database, title) {
  var index = null;

  utils.arrayEach(database, function(value, i) {
    if (value[0] === title) {
      index = i;
      return false;
    }
  });

  // Return error if the input field title is incorrect
  if (index == null) {
    return error.value;
  }

  return index;
};

function findResultIndex(database, criterias) {
  var matches = {};
  for (var i = 1; i < database[0].length; ++i) {
    matches[i] = true;
  }
  var maxCriteriaLength = criterias[0].length;
  for (i = 1; i < criterias.length; ++i) {
    if (criterias[i].length > maxCriteriaLength) {
      maxCriteriaLength = criterias[i].length;
    }
  }

  for (var k = 1; k < database.length; ++k) {
    for (var l = 1; l < database[k].length; ++l) {
      var currentCriteriaResult = false;
      var hasMatchingCriteria   = false;
      for (var j = 0; j < criterias.length; ++j) {
        var criteria = criterias[j];
        if (criteria.length < maxCriteriaLength) {
          continue;
        }

        var criteriaField = criteria[0];
        if (database[k][0] !== criteriaField) {
          continue;
        }
        hasMatchingCriteria = true;
        for (var p = 1; p < criteria.length; ++p) {
          if (!currentCriteriaResult) {
            var isWildcard = criteria[p] === void 0 || criteria[p] === '*';

            if (isWildcard) {
              currentCriteriaResult = true;
            } else {
              var tokenizedCriteria = evalExpression.parse(criteria[p] + '');
              var tokens = [evalExpression.createToken(database[k][l], evalExpression.TOKEN_TYPE_LITERAL)].concat(tokenizedCriteria);

              currentCriteriaResult = evalExpression.compute(tokens);
            }
          }
        }
      }
      if (hasMatchingCriteria) {
        matches[l] = matches[l] && currentCriteriaResult;
      }
    }
  }

  var result = [];
  for (var n = 0; n < database[0].length; ++n) {
    if (matches[n]) {
      result.push(n - 1);
    }
  }

  return result;
}

// Database functions
exports.DAVERAGE = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }
  var sum = 0;

  utils.arrayEach(resultIndexes, function(value) {
    sum += targetFields[value];
  });

  return resultIndexes.length === 0 ? error.div0 : sum / resultIndexes.length;
};

exports.DCOUNT = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });

  return stats.COUNT(targetValues);
};

exports.DCOUNTA = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }

  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });

  return stats.COUNTA(targetValues);
};

exports.DGET = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }

  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  // Return error if no record meets the criteria
  if (resultIndexes.length === 0) {
    return error.value;
  }
  // Returns the #NUM! error value because more than one record meets the
  // criteria
  if (resultIndexes.length > 1) {
    return error.num;
  }

  return targetFields[resultIndexes[0]];
};

exports.DMAX = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var maxValue = targetFields[resultIndexes[0]];

  utils.arrayEach(resultIndexes, function(value) {
    if (maxValue < targetFields[value]) {
      maxValue = targetFields[value];
    }
  });

  return maxValue;
};

exports.DMIN = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }

  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var minValue = targetFields[resultIndexes[0]];

  utils.arrayEach(resultIndexes, function(value) {
    if (minValue > targetFields[value]) {
      minValue = targetFields[value];
    }
  });

  return minValue;
};

exports.DPRODUCT = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }

  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });
  targetValues = compact(targetValues);

  var result = 1;

  utils.arrayEach(targetValues, function(value) {
    result *= value;
  });

  return result;
};

exports.DSTDEV = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }
  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });
  targetValues = compact(targetValues);

  return stats.STDEV.S(targetValues);
};

exports.DSTDEVP = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });
  targetValues = compact(targetValues);

  return stats.STDEV.P(targetValues);
};

exports.DSUM = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }

  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });

  return maths.SUM(targetValues);
};

exports.DVAR = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }
  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });

  return stats.VAR.S(targetValues);
};

exports.DVARP = function(database, field, criteria) {
  // Return error if field is not a number and not a string
  if (isNaN(field) && (typeof field !== "string")) {
    return error.value;
  }
  var resultIndexes = findResultIndex(database, criteria);
  var targetFields = [];

  if (typeof field === "string") {
    var index = exports.FINDFIELD(database, field);
    targetFields = utils.rest(database[index]);
  } else {
    targetFields = utils.rest(database[field]);
  }
  var targetValues = [];

  utils.arrayEach(resultIndexes, function(value) {
    targetValues.push(targetFields[value]);
  });

  return stats.VAR.P(targetValues);
};


/***/ }),
/* 15 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var utils = __webpack_require__(1);
var information = __webpack_require__(6);

exports.AND = function() {
  var args = utils.flatten(arguments);
  var result = true;
  for (var i = 0; i < args.length; i++) {
    if (!args[i]) {
      result = false;
    }
  }
  return result;
};

exports.CHOOSE = function() {
  if (arguments.length < 2) {
    return error.na;
  }

  var index = arguments[0];
  if (index < 1 || index > 254) {
    return error.value;
  }

  if (arguments.length < index + 1) {
    return error.value;
  }

  return arguments[index];
};

exports.FALSE = function() {
  return false;
};

exports.IF = function(test, then_value, otherwise_value) {
  return test ? then_value : otherwise_value;
};

exports.IFERROR = function(value, valueIfError) {
  if (information.ISERROR(value)) {
    return valueIfError;
  }
  return value;
};

exports.IFNA = function(value, value_if_na) {
  return value === error.na ? value_if_na : value;
};

exports.NOT = function(logical) {
  return !logical;
};

exports.OR = function() {
  var args = utils.flatten(arguments);
  var result = false;
  for (var i = 0; i < args.length; i++) {
    if (args[i]) {
      result = true;
    }
  }
  return result;
};

exports.TRUE = function() {
  return true;
};

exports.XOR = function() {
  var args = utils.flatten(arguments);
  var result = 0;
  for (var i = 0; i < args.length; i++) {
    if (args[i]) {
      result++;
    }
  }
  return (Math.floor(Math.abs(result)) & 1) ? true : false;
};

exports.SWITCH = function () {
  var result;

  if (arguments.length > 0)  {
    var targetValue = arguments[0];
    var argc = arguments.length - 1;
    var switchCount = Math.floor(argc / 2);
    var switchSatisfied = false;
    var hasDefaultClause = argc % 2 !== 0;
    var defaultClause = argc % 2 === 0 ? null : arguments[arguments.length - 1];

    if (switchCount) {
      for (var index = 0; index < switchCount; index++) {
        if (targetValue === arguments[index * 2 + 1]) {
          result = arguments[index * 2 + 2];
          switchSatisfied = true;
          break;
        }
      }
    }

    if (!switchSatisfied) {
      result = hasDefaultClause ? defaultClause : error.na;
    }
  } else {
    result = error.value;
  }

  return result;
};


/***/ }),
/* 16 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var dateTime = __webpack_require__(7);
var utils = __webpack_require__(1);

function validDate(d) {
  return d && d.getTime && !isNaN(d.getTime());
}

function ensureDate(d) {
  return (d instanceof Date)?d:new Date(d);
}

exports.ACCRINT = function(issue, first, settlement, rate, par, frequency, basis) {
  // Return error if either date is invalid
  issue      = ensureDate(issue);
  first      = ensureDate(first);
  settlement = ensureDate(settlement);
  if (!validDate(issue) || !validDate(first) || !validDate(settlement)) {
    return error.value;
  }

  // Return error if either rate or par are lower than or equal to zero
  if (rate <= 0 || par <= 0) {
    return error.num;
  }

  // Return error if frequency is neither 1, 2, or 4
  if ([1, 2, 4].indexOf(frequency) === -1) {
    return error.num;
  }

  // Return error if basis is neither 0, 1, 2, 3, or 4
  if ([0, 1, 2, 3, 4].indexOf(basis) === -1) {
    return error.num;
  }

  // Return error if settlement is before or equal to issue
  if (settlement <= issue) {
    return error.num;
  }

  // Set default values
  par   = par   || 0;
  basis = basis || 0;

  // Compute accrued interest
  return par * rate * dateTime.YEARFRAC(issue, settlement, basis);
};

// TODO
exports.ACCRINTM = function() {
  throw new Error('ACCRINTM is not implemented');
};

// TODO
exports.AMORDEGRC = function() {
  throw new Error('AMORDEGRC is not implemented');
};

// TODO
exports.AMORLINC = function() {
  throw new Error('AMORLINC is not implemented');
};

// TODO
exports.COUPDAYBS = function() {
  throw new Error('COUPDAYBS is not implemented');
};

// TODO
exports.COUPDAYS = function() {
  throw new Error('COUPDAYS is not implemented');
};

// TODO
exports.COUPDAYSNC = function() {
  throw new Error('COUPDAYSNC is not implemented');
};

// TODO
exports.COUPNCD = function() {
  throw new Error('COUPNCD is not implemented');
};

// TODO
exports.COUPNUM = function() {
  throw new Error('COUPNUM is not implemented');
};

// TODO
exports.COUPPCD = function() {
  throw new Error('COUPPCD is not implemented');
};

exports.CUMIPMT = function(rate, periods, value, start, end, type) {
  // Credits: algorithm inspired by Apache OpenOffice
  // Credits: Hannes Stiebitzhofer for the translations of function and variable names
  // Requires exports.FV() and exports.PMT() from exports.js [http://stoic.com/exports/]

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  value = utils.parseNumber(value);
  if (utils.anyIsError(rate, periods, value)) {
    return error.value;
  }

  // Return error if either rate, periods, or value are lower than or equal to zero
  if (rate <= 0 || periods <= 0 || value <= 0) {
    return error.num;
  }

  // Return error if start < 1, end < 1, or start > end
  if (start < 1 || end < 1 || start > end) {
    return error.num;
  }

  // Return error if type is neither 0 nor 1
  if (type !== 0 && type !== 1) {
    return error.num;
  }

  // Compute cumulative interest
  var payment = exports.PMT(rate, periods, value, 0, type);
  var interest = 0;

  if (start === 1) {
    if (type === 0) {
      interest = -value;
      start++;
    }
  }

  for (var i = start; i <= end; i++) {
    if (type === 1) {
      interest += exports.FV(rate, i - 2, payment, value, 1) - payment;
    } else {
      interest += exports.FV(rate, i - 1, payment, value, 0);
    }
  }
  interest *= rate;

  // Return cumulative interest
  return interest;
};

exports.CUMPRINC = function(rate, periods, value, start, end, type) {
  // Credits: algorithm inspired by Apache OpenOffice
  // Credits: Hannes Stiebitzhofer for the translations of function and variable names

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  value = utils.parseNumber(value);
  if (utils.anyIsError(rate, periods, value)) {
    return error.value;
  }

  // Return error if either rate, periods, or value are lower than or equal to zero
  if (rate <= 0 || periods <= 0 || value <= 0) {
    return error.num;
  }

  // Return error if start < 1, end < 1, or start > end
  if (start < 1 || end < 1 || start > end) {
    return error.num;
  }

  // Return error if type is neither 0 nor 1
  if (type !== 0 && type !== 1) {
    return error.num;
  }

  // Compute cumulative principal
  var payment = exports.PMT(rate, periods, value, 0, type);
  var principal = 0;
  if (start === 1) {
    if (type === 0) {
      principal = payment + value * rate;
    } else {
      principal = payment;
    }
    start++;
  }
  for (var i = start; i <= end; i++) {
    if (type > 0) {
      principal += payment - (exports.FV(rate, i - 2, payment, value, 1) - payment) * rate;
    } else {
      principal += payment - exports.FV(rate, i - 1, payment, value, 0) * rate;
    }
  }

  // Return cumulative principal
  return principal;
};

exports.DB = function(cost, salvage, life, period, month) {
  // Initialize month
  month = (month === undefined) ? 12 : month;

  cost = utils.parseNumber(cost);
  salvage = utils.parseNumber(salvage);
  life = utils.parseNumber(life);
  period = utils.parseNumber(period);
  month = utils.parseNumber(month);
  if (utils.anyIsError(cost, salvage, life, period, month)) {
    return error.value;
  }

  // Return error if any of the parameters is negative
  if (cost < 0 || salvage < 0 || life < 0 || period < 0) {
    return error.num;
  }

  // Return error if month is not an integer between 1 and 12
  if ([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12].indexOf(month) === -1) {
    return error.num;
  }

  // Return error if period is greater than life
  if (period > life) {
    return error.num;
  }

  // Return 0 (zero) if salvage is greater than or equal to cost
  if (salvage >= cost) {
    return 0;
  }

  // Rate is rounded to three decimals places
  var rate = (1 - Math.pow(salvage / cost, 1 / life)).toFixed(3);

  // Compute initial depreciation
  var initial = cost * rate * month / 12;

  // Compute total depreciation
  var total = initial;
  var current = 0;
  var ceiling = (period === life) ? life - 1 : period;
  for (var i = 2; i <= ceiling; i++) {
    current = (cost - total) * rate;
    total += current;
  }

  // Depreciation for the first and last periods are special cases
  if (period === 1) {
    // First period
    return initial;
  } else if (period === life) {
    // Last period
    return (cost - total) * rate;
  } else {
    return current;
  }
};

exports.DDB = function(cost, salvage, life, period, factor) {
  // Initialize factor
  factor = (factor === undefined) ? 2 : factor;

  cost = utils.parseNumber(cost);
  salvage = utils.parseNumber(salvage);
  life = utils.parseNumber(life);
  period = utils.parseNumber(period);
  factor = utils.parseNumber(factor);
  if (utils.anyIsError(cost, salvage, life, period, factor)) {
    return error.value;
  }

  // Return error if any of the parameters is negative or if factor is null
  if (cost < 0 || salvage < 0 || life < 0 || period < 0 || factor <= 0) {
    return error.num;
  }

  // Return error if period is greater than life
  if (period > life) {
    return error.num;
  }

  // Return 0 (zero) if salvage is greater than or equal to cost
  if (salvage >= cost) {
    return 0;
  }

  // Compute depreciation
  var total = 0;
  var current = 0;
  for (var i = 1; i <= period; i++) {
    current = Math.min((cost - total) * (factor / life), (cost - salvage - total));
    total += current;
  }

  // Return depreciation
  return current;
};

// TODO
exports.DISC = function() {
  throw new Error('DISC is not implemented');
};

exports.DOLLARDE = function(dollar, fraction) {
  // Credits: algorithm inspired by Apache OpenOffice

  dollar = utils.parseNumber(dollar);
  fraction = utils.parseNumber(fraction);
  if (utils.anyIsError(dollar, fraction)) {
    return error.value;
  }

  // Return error if fraction is negative
  if (fraction < 0) {
    return error.num;
  }

  // Return error if fraction is greater than or equal to 0 and less than 1
  if (fraction >= 0 && fraction < 1) {
    return error.div0;
  }

  // Truncate fraction if it is not an integer
  fraction = parseInt(fraction, 10);

  // Compute integer part
  var result = parseInt(dollar, 10);

  // Add decimal part
  result += (dollar % 1) * Math.pow(10, Math.ceil(Math.log(fraction) / Math.LN10)) / fraction;

  // Round result
  var power = Math.pow(10, Math.ceil(Math.log(fraction) / Math.LN2) + 1);
  result = Math.round(result * power) / power;

  // Return converted dollar price
  return result;
};

exports.DOLLARFR = function(dollar, fraction) {
  // Credits: algorithm inspired by Apache OpenOffice

  dollar = utils.parseNumber(dollar);
  fraction = utils.parseNumber(fraction);
  if (utils.anyIsError(dollar, fraction)) {
    return error.value;
  }

  // Return error if fraction is negative
  if (fraction < 0) {
    return error.num;
  }

  // Return error if fraction is greater than or equal to 0 and less than 1
  if (fraction >= 0 && fraction < 1) {
    return error.div0;
  }

  // Truncate fraction if it is not an integer
  fraction = parseInt(fraction, 10);

  // Compute integer part
  var result = parseInt(dollar, 10);

  // Add decimal part
  result += (dollar % 1) * Math.pow(10, -Math.ceil(Math.log(fraction) / Math.LN10)) * fraction;

  // Return converted dollar price
  return result;
};

// TODO
exports.DURATION = function() {
  throw new Error('DURATION is not implemented');
};

exports.EFFECT = function(rate, periods) {
  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  if (utils.anyIsError(rate, periods)) {
    return error.value;
  }

  // Return error if rate <=0 or periods < 1
  if (rate <= 0 || periods < 1) {
    return error.num;
  }

  // Truncate periods if it is not an integer
  periods = parseInt(periods, 10);

  // Return effective annual interest rate
  return Math.pow(1 + rate / periods, periods) - 1;
};

exports.FV = function(rate, periods, payment, value, type) {
  // Credits: algorithm inspired by Apache OpenOffice

  value = value || 0;
  type = type || 0;

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  payment = utils.parseNumber(payment);
  value = utils.parseNumber(value);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, periods, payment, value, type)) {
    return error.value;
  }

  // Return future value
  var result;
  if (rate === 0) {
    result = value + payment * periods;
  } else {
    var term = Math.pow(1 + rate, periods);
    if (type === 1) {
      result = value * term + payment * (1 + rate) * (term - 1) / rate;
    } else {
      result = value * term + payment * (term - 1) / rate;
    }
  }
  return -result;
};

exports.FVSCHEDULE = function(principal, schedule) {
  principal = utils.parseNumber(principal);
  schedule = utils.parseNumberArray(utils.flatten(schedule));
  if (utils.anyIsError(principal, schedule)) {
    return error.value;
  }

  var n = schedule.length;
  var future = principal;

  // Apply all interests in schedule
  for (var i = 0; i < n; i++) {
    // Apply scheduled interest
    future *= 1 + schedule[i];
  }

  // Return future value
  return future;
};

// TODO
exports.INTRATE = function() {
  throw new Error('INTRATE is not implemented');
};

exports.IPMT = function(rate, period, periods, present, future, type) {
  // Credits: algorithm inspired by Apache OpenOffice

  future = future || 0;
  type = type || 0;

  rate = utils.parseNumber(rate);
  period = utils.parseNumber(period);
  periods = utils.parseNumber(periods);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, period, periods, present, future, type)) {
    return error.value;
  }

  // Compute payment
  var payment = exports.PMT(rate, periods, present, future, type);

  // Compute interest
  var interest;
  if (period === 1) {
    if (type === 1) {
      interest = 0;
    } else {
      interest = -present;
    }
  } else {
    if (type === 1) {
      interest = exports.FV(rate, period - 2, payment, present, 1) - payment;
    } else {
      interest = exports.FV(rate, period - 1, payment, present, 0);
    }
  }

  // Return interest
  return interest * rate;
};

exports.IRR = function(values, guess) {
  // Credits: algorithm inspired by Apache OpenOffice

  guess = guess || 0;

  values = utils.parseNumberArray(utils.flatten(values));
  guess = utils.parseNumber(guess);
  if (utils.anyIsError(values, guess)) {
    return error.value;
  }

  // Calculates the resulting amount
  var irrResult = function(values, dates, rate) {
    var r = rate + 1;
    var result = values[0];
    for (var i = 1; i < values.length; i++) {
      result += values[i] / Math.pow(r, (dates[i] - dates[0]) / 365);
    }
    return result;
  };

  // Calculates the first derivation
  var irrResultDeriv = function(values, dates, rate) {
    var r = rate + 1;
    var result = 0;
    for (var i = 1; i < values.length; i++) {
      var frac = (dates[i] - dates[0]) / 365;
      result -= frac * values[i] / Math.pow(r, frac + 1);
    }
    return result;
  };

  // Initialize dates and check that values contains at least one positive value and one negative value
  var dates = [];
  var positive = false;
  var negative = false;
  for (var i = 0; i < values.length; i++) {
    dates[i] = (i === 0) ? 0 : dates[i - 1] + 365;
    if (values[i] > 0) {
      positive = true;
    }
    if (values[i] < 0) {
      negative = true;
    }
  }

  // Return error if values does not contain at least one positive value and one negative value
  if (!positive || !negative) {
    return error.num;
  }

  // Initialize guess and resultRate
  guess = (guess === undefined) ? 0.1 : guess;
  var resultRate = guess;

  // Set maximum epsilon for end of iteration
  var epsMax = 1e-10;

  // Implement Newton's method
  var newRate, epsRate, resultValue;
  var contLoop = true;
  do {
    resultValue = irrResult(values, dates, resultRate);
    newRate = resultRate - resultValue / irrResultDeriv(values, dates, resultRate);
    epsRate = Math.abs(newRate - resultRate);
    resultRate = newRate;
    contLoop = (epsRate > epsMax) && (Math.abs(resultValue) > epsMax);
  } while (contLoop);

  // Return internal rate of return
  return resultRate;
};

exports.ISPMT = function(rate, period, periods, value) {
  rate = utils.parseNumber(rate);
  period = utils.parseNumber(period);
  periods = utils.parseNumber(periods);
  value = utils.parseNumber(value);
  if (utils.anyIsError(rate, period, periods, value)) {
    return error.value;
  }

  // Return interest
  return value * rate * (period / periods - 1);
};

// TODO
exports.MDURATION = function() {
  throw new Error('MDURATION is not implemented');
};

exports.MIRR = function(values, finance_rate, reinvest_rate) {
  values = utils.parseNumberArray(utils.flatten(values));
  finance_rate = utils.parseNumber(finance_rate);
  reinvest_rate = utils.parseNumber(reinvest_rate);
  if (utils.anyIsError(values, finance_rate, reinvest_rate)) {
    return error.value;
  }

  // Initialize number of values
  var n = values.length;

  // Lookup payments (negative values) and incomes (positive values)
  var payments = [];
  var incomes = [];
  for (var i = 0; i < n; i++) {
    if (values[i] < 0) {
      payments.push(values[i]);
    } else {
      incomes.push(values[i]);
    }
  }

  // Return modified internal rate of return
  var num = -exports.NPV(reinvest_rate, incomes) * Math.pow(1 + reinvest_rate, n - 1);
  var den = exports.NPV(finance_rate, payments) * (1 + finance_rate);
  return Math.pow(num / den, 1 / (n - 1)) - 1;
};

exports.NOMINAL = function(rate, periods) {
  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  if (utils.anyIsError(rate, periods)) {
    return error.value;
  }

  // Return error if rate <=0 or periods < 1
  if (rate <= 0 || periods < 1) {
    return error.num;
  }

  // Truncate periods if it is not an integer
  periods = parseInt(periods, 10);

  // Return nominal annual interest rate
  return (Math.pow(rate + 1, 1 / periods) - 1) * periods;
};

exports.NPER = function(rate, payment, present, future, type) {
  type = (type === undefined) ? 0 : type;
  future = (future === undefined) ? 0 : future;

  rate = utils.parseNumber(rate);
  payment = utils.parseNumber(payment);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, payment, present, future, type)) {
    return error.value;
  }

  // Return number of periods
  var num = payment * (1 + rate * type) - future * rate;
  var den = (present * rate + payment * (1 + rate * type));
  return Math.log(num / den) / Math.log(1 + rate);
};

exports.NPV = function() {
  var args = utils.parseNumberArray(utils.flatten(arguments));
  if (args instanceof Error) {
    return args;
  }

  // Lookup rate
  var rate = args[0];

  // Initialize net present value
  var value = 0;

  // Loop on all values
  for (var j = 1; j < args.length; j++) {
    value += args[j] / Math.pow(1 + rate, j);
  }

  // Return net present value
  return value;
};

// TODO
exports.ODDFPRICE = function() {
  throw new Error('ODDFPRICE is not implemented');
};

// TODO
exports.ODDFYIELD = function() {
  throw new Error('ODDFYIELD is not implemented');
};

// TODO
exports.ODDLPRICE = function() {
  throw new Error('ODDLPRICE is not implemented');
};

// TODO
exports.ODDLYIELD = function() {
  throw new Error('ODDLYIELD is not implemented');
};

exports.PDURATION = function(rate, present, future) {
  rate = utils.parseNumber(rate);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  if (utils.anyIsError(rate, present, future)) {
    return error.value;
  }

  // Return error if rate <=0
  if (rate <= 0) {
    return error.num;
  }

  // Return number of periods
  return (Math.log(future) - Math.log(present)) / Math.log(1 + rate);
};

exports.PMT = function(rate, periods, present, future, type) {
  // Credits: algorithm inspired by Apache OpenOffice

  future = future || 0;
  type = type || 0;

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, periods, present, future, type)) {
    return error.value;
  }

  // Return payment
  var result;
  if (rate === 0) {
    result = (present + future) / periods;
  } else {
    var term = Math.pow(1 + rate, periods);
    if (type === 1) {
      result = (future * rate / (term - 1) + present * rate / (1 - 1 / term)) / (1 + rate);
    } else {
      result = future * rate / (term - 1) + present * rate / (1 - 1 / term);
    }
  }
  return -result;
};

exports.PPMT = function(rate, period, periods, present, future, type) {
  future = future || 0;
  type = type || 0;

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, periods, present, future, type)) {
    return error.value;
  }

  return exports.PMT(rate, periods, present, future, type) - exports.IPMT(rate, period, periods, present, future, type);
};

// TODO
exports.PRICE = function() {
  throw new Error('PRICE is not implemented');
};

// TODO
exports.PRICEDISC = function() {
  throw new Error('PRICEDISC is not implemented');
};

// TODO
exports.PRICEMAT = function() {
  throw new Error('PRICEMAT is not implemented');
};

exports.PV = function(rate, periods, payment, future, type) {
  future = future || 0;
  type = type || 0;

  rate = utils.parseNumber(rate);
  periods = utils.parseNumber(periods);
  payment = utils.parseNumber(payment);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  if (utils.anyIsError(rate, periods, payment, future, type)) {
    return error.value;
  }

  // Return present value
  if (rate === 0) {
    return -payment * periods - future;
  } else {
    return (((1 - Math.pow(1 + rate, periods)) / rate) * payment * (1 + rate * type) - future) / Math.pow(1 + rate, periods);
  }
};

exports.RATE = function(periods, payment, present, future, type, guess) {
  // Credits: rabugento

  guess = (guess === undefined) ? 0.01 : guess;
  future = (future === undefined) ? 0 : future;
  type = (type === undefined) ? 0 : type;

  periods = utils.parseNumber(periods);
  payment = utils.parseNumber(payment);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  type = utils.parseNumber(type);
  guess = utils.parseNumber(guess);
  if (utils.anyIsError(periods, payment, present, future, type, guess)) {
    return error.value;
  }

  // Set maximum epsilon for end of iteration
  var epsMax = 1e-10;

  // Set maximum number of iterations
  var iterMax = 50;

  // Implement Newton's method
  var y, y0, y1, x0, x1 = 0,
    f = 0,
    i = 0;
  var rate = guess;
  if (Math.abs(rate) < epsMax) {
    y = present * (1 + periods * rate) + payment * (1 + rate * type) * periods + future;
  } else {
    f = Math.exp(periods * Math.log(1 + rate));
    y = present * f + payment * (1 / rate + type) * (f - 1) + future;
  }
  y0 = present + payment * periods + future;
  y1 = present * f + payment * (1 / rate + type) * (f - 1) + future;
  i = x0 = 0;
  x1 = rate;
  while ((Math.abs(y0 - y1) > epsMax) && (i < iterMax)) {
    rate = (y1 * x0 - y0 * x1) / (y1 - y0);
    x0 = x1;
    x1 = rate;
    if (Math.abs(rate) < epsMax) {
      y = present * (1 + periods * rate) + payment * (1 + rate * type) * periods + future;
    } else {
      f = Math.exp(periods * Math.log(1 + rate));
      y = present * f + payment * (1 / rate + type) * (f - 1) + future;
    }
    y0 = y1;
    y1 = y;
    ++i;
  }
  return rate;
};

// TODO
exports.RECEIVED = function() {
  throw new Error('RECEIVED is not implemented');
};

exports.RRI = function(periods, present, future) {
  periods = utils.parseNumber(periods);
  present = utils.parseNumber(present);
  future = utils.parseNumber(future);
  if (utils.anyIsError(periods, present, future)) {
    return error.value;
  }

  // Return error if periods or present is equal to 0 (zero)
  if (periods === 0 || present === 0) {
    return error.num;
  }

  // Return equivalent interest rate
  return Math.pow(future / present, 1 / periods) - 1;
};

exports.SLN = function(cost, salvage, life) {
  cost = utils.parseNumber(cost);
  salvage = utils.parseNumber(salvage);
  life = utils.parseNumber(life);
  if (utils.anyIsError(cost, salvage, life)) {
    return error.value;
  }

  // Return error if life equal to 0 (zero)
  if (life === 0) {
    return error.num;
  }

  // Return straight-line depreciation
  return (cost - salvage) / life;
};

exports.SYD = function(cost, salvage, life, period) {
  // Return error if any of the parameters is not a number
  cost = utils.parseNumber(cost);
  salvage = utils.parseNumber(salvage);
  life = utils.parseNumber(life);
  period = utils.parseNumber(period);
  if (utils.anyIsError(cost, salvage, life, period)) {
    return error.value;
  }

  // Return error if life equal to 0 (zero)
  if (life === 0) {
    return error.num;
  }

  // Return error if period is lower than 1 or greater than life
  if (period < 1 || period > life) {
    return error.num;
  }

  // Truncate period if it is not an integer
  period = parseInt(period, 10);

  // Return straight-line depreciation
  return ((cost - salvage) * (life - period + 1) * 2) / (life * (life + 1));
};

exports.TBILLEQ = function(settlement, maturity, discount) {
  settlement = utils.parseDate(settlement);
  maturity = utils.parseDate(maturity);
  discount = utils.parseNumber(discount);
  if (utils.anyIsError(settlement, maturity, discount)) {
    return error.value;
  }

  // Return error if discount is lower than or equal to zero
  if (discount <= 0) {
    return error.num;
  }

  // Return error if settlement is greater than maturity
  if (settlement > maturity) {
    return error.num;
  }

  // Return error if maturity is more than one year after settlement
  if (maturity - settlement > 365 * 24 * 60 * 60 * 1000) {
    return error.num;
  }

  // Return bond-equivalent yield
  return (365 * discount) / (360 - discount * dateTime.DAYS360(settlement, maturity, false));
};

exports.TBILLPRICE = function(settlement, maturity, discount) {
  settlement = utils.parseDate(settlement);
  maturity = utils.parseDate(maturity);
  discount = utils.parseNumber(discount);
  if (utils.anyIsError(settlement, maturity, discount)) {
    return error.value;
  }

  // Return error if discount is lower than or equal to zero
  if (discount <= 0) {
    return error.num;
  }

  // Return error if settlement is greater than maturity
  if (settlement > maturity) {
    return error.num;
  }

  // Return error if maturity is more than one year after settlement
  if (maturity - settlement > 365 * 24 * 60 * 60 * 1000) {
    return error.num;
  }

  // Return bond-equivalent yield
  return 100 * (1 - discount * dateTime.DAYS360(settlement, maturity, false) / 360);
};

exports.TBILLYIELD = function(settlement, maturity, price) {
  settlement = utils.parseDate(settlement);
  maturity = utils.parseDate(maturity);
  price = utils.parseNumber(price);
  if (utils.anyIsError(settlement, maturity, price)) {
    return error.value;
  }

  // Return error if price is lower than or equal to zero
  if (price <= 0) {
    return error.num;
  }

  // Return error if settlement is greater than maturity
  if (settlement > maturity) {
    return error.num;
  }

  // Return error if maturity is more than one year after settlement
  if (maturity - settlement > 365 * 24 * 60 * 60 * 1000) {
    return error.num;
  }

  // Return bond-equivalent yield
  return (100 - price) * 360 / (price * dateTime.DAYS360(settlement, maturity, false));
};

// TODO
exports.VDB = function() {
  throw new Error('VDB is not implemented');
};

// TODO needs better support for date
// exports.XIRR = function(values, dates, guess) {
//   // Credits: algorithm inspired by Apache OpenOffice
//
//   values = utils.parseNumberArray(utils.flatten(values));
//   dates = utils.parseDateArray(utils.flatten(dates));
//   guess = utils.parseNumber(guess);
//
//   if (utils.anyIsError(values, dates, guess)) {
//     return error.value;
//   }
//
//   // Calculates the resulting amount
//   var irrResult = function(values, dates, rate) {
//     var r = rate + 1;
//     var result = values[0];
//     for (var i = 1; i < values.length; i++) {
//       result += values[i] / Math.pow(r, dateTime.DAYS(dates[i], dates[0]) / 365);
//     }
//     return result;
//   };
//
//   // Calculates the first derivation
//   var irrResultDeriv = function(values, dates, rate) {
//     var r = rate + 1;
//     var result = 0;
//     for (var i = 1; i < values.length; i++) {
//       var frac = dateTime.DAYS(dates[i], dates[0]) / 365;
//       result -= frac * values[i] / Math.pow(r, frac + 1);
//     }
//     return result;
//   };
//
//   // Check that values contains at least one positive value and one negative value
//   var positive = false;
//   var negative = false;
//   for (var i = 0; i < values.length; i++) {
//     if (values[i] > 0) {
//       positive = true;
//     }
//     if (values[i] < 0) {
//       negative = true;
//     }
//   }
//
//   // Return error if values does not contain at least one positive value and one negative value
//   if (!positive || !negative) {
//     return error.num;
//   }
//
//   // Initialize guess and resultRate
//   guess = guess || 0.1;
//   var resultRate = guess;
//
//   // Set maximum epsilon for end of iteration
//   var epsMax = 1e-10;
//
//   // Implement Newton's method
//   var newRate, epsRate, resultValue;
//   var contLoop = true;
//   do {
//     resultValue = irrResult(values, dates, resultRate);
//     newRate = resultRate - resultValue / irrResultDeriv(values, dates, resultRate);
//     epsRate = Math.abs(newRate - resultRate);
//     resultRate = newRate;
//     contLoop = (epsRate > epsMax) && (Math.abs(resultValue) > epsMax);
//   } while (contLoop);
//
//   // Return internal rate of return
//   return resultRate;
// };

exports.XNPV = function(rate, values, dates) {
  rate = utils.parseNumber(rate);
  values = utils.parseNumberArray(utils.flatten(values));
  dates = utils.parseDateArray(utils.flatten(dates));
  if (utils.anyIsError(rate, values, dates)) {
    return error.value;
  }

  var result = 0;
  for (var i = 0; i < values.length; i++) {
    result += values[i] / Math.pow(1 + rate, dateTime.DAYS(dates[i], dates[0]) / 365);
  }
  return result;
};

// TODO
exports.YIELD = function() {
  throw new Error('YIELD is not implemented');
};

// TODO
exports.YIELDDISC = function() {
  throw new Error('YIELDDISC is not implemented');
};

// TODO
exports.YIELDMAT = function() {
  throw new Error('YIELDMAT is not implemented');
};


/***/ }),
/* 17 */
/***/ (function(module, exports, __webpack_require__) {

var error = __webpack_require__(0);
var utils = __webpack_require__(1);

exports.MATCH = function(lookupValue, lookupArray, matchType) {
  if (!lookupValue && !lookupArray) {
    return error.na;
  }

  if (arguments.length === 2) {
    matchType = 1;
  }
  if (!(lookupArray instanceof Array)) {
    return error.na;
  }

  if (matchType !== -1 && matchType !== 0 && matchType !== 1) {
    return error.na;
  }
  var index;
  var indexValue;
  for (var idx = 0; idx < lookupArray.length; idx++) {
    if (matchType === 1) {
      if (lookupArray[idx] === lookupValue) {
        return idx + 1;
      } else if (lookupArray[idx] < lookupValue) {
        if (!indexValue) {
          index = idx + 1;
          indexValue = lookupArray[idx];
        } else if (lookupArray[idx] > indexValue) {
          index = idx + 1;
          indexValue = lookupArray[idx];
        }
      }
    } else if (matchType === 0) {
      if (typeof lookupValue === 'string') {
        lookupValue = lookupValue.replace(/\?/g, '.');
        if (lookupArray[idx].toLowerCase().match(lookupValue.toLowerCase())) {
          return idx + 1;
        }
      } else {
        if (lookupArray[idx] === lookupValue) {
          return idx + 1;
        }
      }
    } else if (matchType === -1) {
      if (lookupArray[idx] === lookupValue) {
        return idx + 1;
      } else if (lookupArray[idx] > lookupValue) {
        if (!indexValue) {
          index = idx + 1;
          indexValue = lookupArray[idx];
        } else if (lookupArray[idx] < indexValue) {
          index = idx + 1;
          indexValue = lookupArray[idx];
        }
      }
    }
  }

  return index ? index : error.na;
};

exports.VLOOKUP = function (needle, table, index, rangeLookup) {
  if (!needle || !table || !index) {
    return error.na;
  }

  rangeLookup = rangeLookup || false;
  for (var i = 0; i < table.length; i++) {
    var row = table[i];
    if ((!rangeLookup && row[0] === needle) ||
      ((row[0] === needle) ||
        (rangeLookup && typeof row[0] === "string" && row[0].toLowerCase().indexOf(needle.toLowerCase()) !== -1))) {
      return (index < (row.length + 1) ? row[index - 1] : error.ref);
    }
  }

  return error.na;
};

exports.HLOOKUP = function (needle, table, index, rangeLookup) {
  if (!needle || !table || !index) {
    return error.na;
  }

  rangeLookup = rangeLookup || false;

  var transposedTable = utils.transpose(table);

  for (var i = 0; i < transposedTable.length; i++) {
    var row = transposedTable[i];
    if ((!rangeLookup && row[0] === needle) ||
      ((row[0] === needle) ||
        (rangeLookup && typeof row[0] === "string" && row[0].toLowerCase().indexOf(needle.toLowerCase()) !== -1))) {
      return (index < (row.length + 1) ? row[index - 1] : error.ref);
    }
  }

  return error.na;
};


/***/ })
/******/ ]);
});