PHPExcel classes » \PHPExcel_Calculation_Statistical

PHPExcel_Calculation_Statistical

category | PHPExcel
package | PHPExcel_Calculation
copyright | Copyright (c) 2006 - 2014 PHPExcel (http://www.codeplex.com/PHPExcel)

### Methods

## AVEDEV

    AVEDEV() : float

Static

Returns the average of the absolute deviations of data points from their mean. AVEDEV is a measure of the variability in a data set.

Excel Function: AVEDEV(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## AVERAGE

    AVERAGE() : float

Static

Returns the average (arithmetic mean) of the arguments

Excel Function: AVERAGE(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## AVERAGEA

    AVERAGEA() : float

Static

Returns the average of its arguments, including numbers, text, and logical values

Excel Function: AVERAGEA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## AVERAGEIF

    AVERAGEIF($aArgs, string $condition, mixed[] $averageArgs) : float

Static

Returns the average value from a range of cells that contain numbers within the list of arguments

Excel Function: AVERAGEIF(value1[,value2[, ...]],condition)

access | public
category | Mathematical and Trigonometric Functions

### Parameters

#### $aArgs

#### $condition

`string`

The criteria that defines which cells will be checked.

#### $averageArgs

`mixed[]`

Data values

### Returns

`float`

## BETADIST

    BETADIST(float $value, float $alpha, float $beta, $rMin, $rMax) : float

Static

Returns the beta distribution.

### Parameters

#### $value

`float`

Value at which you want to evaluate the distribution

#### $alpha

`float`

Parameter to the distribution

#### $beta

`float`

Parameter to the distribution

#### $rMin

#### $rMax

### Returns

`float`

## BETAINV

    BETAINV(float $probability, float $alpha, float $beta, float $rMin, float $rMax) : float

Static

Returns the inverse of the beta distribution.

### Parameters

#### $probability

`float`

Probability at which you want to evaluate the distribution

#### $alpha

`float`

Parameter to the distribution

#### $beta

`float`

Parameter to the distribution

#### $rMin

`float`

Minimum value

#### $rMax

`float`

Maximum value

### Returns

`float`

## BINOMDIST

    BINOMDIST(float $value, float $trials, float $probability, boolean $cumulative) : float

Static

Returns the individual term binomial distribution probability. Use BINOMDIST in problems with a fixed number of tests or trials, when the outcomes of any trial are only success or failure, when trials are independent, and when the probability of success is constant throughout the experiment. For example, BINOMDIST can calculate the probability that two of the next three babies born are male.

todo | Cumulative distribution function

### Parameters

#### $value

`float`

Number of successes in trials

#### $trials

`float`

Number of trials

#### $probability

`float`

Probability of success on each trial

#### $cumulative

`boolean`

### Returns

`float`

## CHIDIST

    CHIDIST(float $value, float $degrees) : float

Static

Returns the one-tailed probability of the chi-squared distribution.

### Parameters

#### $value

`float`

Value for the function

#### $degrees

`float`

degrees of freedom

### Returns

`float`

## CHIINV

    CHIINV(float $probability, float $degrees) : float

Static

Returns the one-tailed probability of the chi-squared distribution.

### Parameters

#### $probability

`float`

Probability for the function

#### $degrees

`float`

degrees of freedom

### Returns

`float`

## CONFIDENCE

    CONFIDENCE(float $alpha, float $stdDev, float $size) : float

Static

Returns the confidence interval for a population mean

### Parameters

#### $alpha

`float`

#### $stdDev

`float`

Standard Deviation

#### $size

`float`

### Returns

`float`

## CORREL

    CORREL(array $yValues, array $xValues) : float

Static

Returns covariance, the average of the products of deviations for each data point pair.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## COUNT

    COUNT() : int

Static

Counts the number of cells that contain numbers within the list of arguments

Excel Function: COUNT(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`int`

## COUNTA

    COUNTA() : int

Static

Counts the number of cells that are not empty within the list of arguments

Excel Function: COUNTA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`int`

## COUNTBLANK

    COUNTBLANK() : int

Static

Counts the number of empty cells within the list of arguments

Excel Function: COUNTBLANK(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`int`

## COUNTIF

    COUNTIF($aArgs, string $condition) : int

Static

Counts the number of cells that contain numbers within the list of arguments

Excel Function: COUNTIF(value1[,value2[, ...]],condition)

access | public
category | Statistical Functions

### Parameters

#### $aArgs

#### $condition

`string`

The criteria that defines which cells will be counted.

### Returns

`int`

## COVAR

    COVAR(array $yValues, array $xValues) : float

Static

Returns covariance, the average of the products of deviations for each data point pair.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## CRITBINOM

    CRITBINOM(float $trials, float $probability, float $alpha) : int

Static

Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value

See http://support.microsoft.com/kb/828117/ for details of the algorithm used

todo | Warning. This implementation differs from the algorithm detailed on the MS web site in that $CumPGuessMinus1 = $CumPGuess - 1 rather than $CumPGuess - $PGuess This eliminates a potential endless loop error, but may have an adverse affect on the accuracy of the function (although all my tests have so far returned correct results).

### Parameters

#### $trials

`float`

number of Bernoulli trials

#### $probability

`float`

probability of a success on each trial

#### $alpha

`float`

criterion value

### Returns

`int`

## DEVSQ

    DEVSQ() : float

Static

Returns the sum of squares of deviations of data points from their sample mean.

Excel Function: DEVSQ(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## EXPONDIST

    EXPONDIST(float $value, float $lambda, boolean $cumulative) : float

Static

Returns the exponential distribution. Use EXPONDIST to model the time between events, such as how long an automated bank teller takes to deliver cash. For example, you can use EXPONDIST to determine the probability that the process takes at most 1 minute.

### Parameters

#### $value

`float`

Value of the function

#### $lambda

`float`

The parameter value

#### $cumulative

`boolean`

### Returns

`float`

## FISHER

    FISHER(float $value) : float

Static

Returns the Fisher transformation at x. This transformation produces a function that is normally distributed rather than skewed. Use this function to perform hypothesis testing on the correlation coefficient.

### Parameters

#### $value

`float`

### Returns

`float`

## FISHERINV

    FISHERINV(float $value) : float

Static

Returns the inverse of the Fisher transformation. Use this transformation when analyzing correlations between ranges or arrays of data. If y = FISHER(x), then FISHERINV(y) = x.

### Parameters

#### $value

`float`

### Returns

`float`

## FORECAST

    FORECAST(float $xValue, array $yValues, array $xValues) : float

Static

Calculates, or predicts, a future value by using existing values. The predicted value is a y-value for a given x-value.

### Parameters

#### $xValue

`float`

Value of X for which we want to find Y

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## GAMMADIST

    GAMMADIST(float $value, float $a, float $b, boolean $cumulative) : float

Static

Returns the gamma distribution.

### Parameters

#### $value

`float`

Value at which you want to evaluate the distribution

#### $a

`float`

Parameter to the distribution

#### $b

`float`

Parameter to the distribution

#### $cumulative

`boolean`

### Returns

`float`

## GAMMAINV

    GAMMAINV(float $probability, float $alpha, float $beta) : float

Static

Returns the inverse of the beta distribution.

### Parameters

#### $probability

`float`

Probability at which you want to evaluate the distribution

#### $alpha

`float`

Parameter to the distribution

#### $beta

`float`

Parameter to the distribution

### Returns

`float`

## GAMMALN

    GAMMALN(float $value) : float

Static

Returns the natural logarithm of the gamma function.

### Parameters

#### $value

`float`

### Returns

`float`

## GEOMEAN

    GEOMEAN() : float

Static

Returns the geometric mean of an array or range of positive data. For example, you can use GEOMEAN to calculate average growth rate given compound interest with variable rates.

Excel Function: GEOMEAN(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## GROWTH

    GROWTH(array $yValues, array $xValues, array $newValues, boolean $const) : array

Static

Returns values along a predicted emponential trend

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

#### $newValues

`array`

of mixed Values of X for which we want to find Y

#### $const

`boolean`

A logical value specifying whether to force the intersect to equal 0.

### Returns

`array`of float

## HARMEAN

    HARMEAN() : float

Static

Returns the harmonic mean of a data set. The harmonic mean is the reciprocal of the arithmetic mean of reciprocals.

Excel Function: HARMEAN(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## HYPGEOMDIST

    HYPGEOMDIST(float $sampleSuccesses, float $sampleNumber, float $populationSuccesses, float $populationNumber) : float

Static

Returns the hypergeometric distribution. HYPGEOMDIST returns the probability of a given number of sample successes, given the sample size, population successes, and population size.

### Parameters

#### $sampleSuccesses

`float`

Number of successes in the sample

#### $sampleNumber

`float`

Size of the sample

#### $populationSuccesses

`float`

Number of successes in the population

#### $populationNumber

`float`

Population size

### Returns

`float`

## INTERCEPT

    INTERCEPT(array $yValues, array $xValues) : float

Static

Calculates the point at which a line will intersect the y-axis by using existing x-values and y-values.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## KURT

    KURT() : float

Static

Returns the kurtosis of a data set. Kurtosis characterizes the relative peakedness or flatness of a distribution compared with the normal distribution. Positive kurtosis indicates a relatively peaked distribution. Negative kurtosis indicates a relatively flat distribution.

### Returns

`float`

## LARGE

    LARGE() : float

Static

Returns the nth largest value in a data set. You can use this function to select a value based on its relative standing.

Excel Function: LARGE(value1[,value2[, ...]],entry)

access | public
category | Statistical Functions

### Returns

`float`

## LINEST

    LINEST(array $yValues, array $xValues, boolean $const, boolean $stats) : array

Static

Calculates the statistics for a line by using the "least squares" method to calculate a straight line that best fits your data, and then returns an array that describes the line.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

#### $const

`boolean`

A logical value specifying whether to force the intersect to equal 0.

#### $stats

`boolean`

A logical value specifying whether to return additional regression statistics.

### Returns

`array`

## LOGEST

    LOGEST(array $yValues, array $xValues, boolean $const, boolean $stats) : array

Static

Calculates an exponential curve that best fits the X and Y data series, and then returns an array that describes the line.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

#### $const

`boolean`

A logical value specifying whether to force the intersect to equal 0.

#### $stats

`boolean`

A logical value specifying whether to return additional regression statistics.

### Returns

`array`

## LOGINV

    LOGINV(float $probability, float $mean, float $stdDev) : float

Static

Returns the inverse of the normal cumulative distribution

todo | Try implementing P J Acklam's refinement algorithm for greater accuracy if I can get my head round the mathematics (as described at) http://home.online.no/~pjacklam/notes/invnorm/

### Parameters

#### $probability

`float`

#### $mean

`float`

#### $stdDev

`float`

### Returns

`float`

## LOGNORMDIST

    LOGNORMDIST(float $value, float $mean, float $stdDev) : float

Static

Returns the cumulative lognormal distribution of x, where ln(x) is normally distributed with parameters mean and standard_dev.

### Parameters

#### $value

`float`

#### $mean

`float`

#### $stdDev

`float`

### Returns

`float`

## MAX

    MAX() : float

Static

MAX returns the value of the element of the values passed that has the highest value, with negative numbers considered smaller than positive numbers.

Excel Function: MAX(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## MAXA

    MAXA() : float

Static

Returns the greatest value in a list of arguments, including numbers, text, and logical values

Excel Function: MAXA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## MAXIF

    MAXIF($aArgs, string $condition, $sumArgs) : float

Static

Counts the maximum value within a range of cells that contain numbers within the list of arguments

Excel Function: MAXIF(value1[,value2[, ...]],condition)

access | public
category | Mathematical and Trigonometric Functions

### Parameters

#### $aArgs

#### $condition

`string`

The criteria that defines which cells will be checked.

#### $sumArgs

### Returns

`float`

## MEDIAN

    MEDIAN() : float

Static

Returns the median of the given numbers. The median is the number in the middle of a set of numbers.

Excel Function: MEDIAN(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## MIN

    MIN() : float

Static

MIN returns the value of the element of the values passed that has the smallest value, with negative numbers considered smaller than positive numbers.

Excel Function: MIN(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## MINA

    MINA() : float

Static

Returns the smallest value in a list of arguments, including numbers, text, and logical values

Excel Function: MINA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## MINIF

    MINIF($aArgs, string $condition, $sumArgs) : float

Static

Returns the minimum value within a range of cells that contain numbers within the list of arguments

Excel Function: MINIF(value1[,value2[, ...]],condition)

access | public
category | Mathematical and Trigonometric Functions

### Parameters

#### $aArgs

#### $condition

`string`

The criteria that defines which cells will be checked.

#### $sumArgs

### Returns

`float`

## MODE

    MODE() : float

Static

Returns the most frequently occurring, or repetitive, value in an array or range of data

Excel Function: MODE(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## NEGBINOMDIST

    NEGBINOMDIST(float $failures, float $successes, float $probability) : float

Static

Returns the negative binomial distribution. NEGBINOMDIST returns the probability that there will be number_f failures before the number_s-th success, when the constant probability of a success is probability_s. This function is similar to the binomial distribution, except that the number of successes is fixed, and the number of trials is variable. Like the binomial, trials are assumed to be independent.

### Parameters

#### $failures

`float`

Number of Failures

#### $successes

`float`

Threshold number of Successes

#### $probability

`float`

Probability of success on each trial

### Returns

`float`

## NORMDIST

    NORMDIST(float $value, float $mean, float $stdDev, boolean $cumulative) : float

Static

Returns the normal distribution for the specified mean and standard deviation. This function has a very wide range of applications in statistics, including hypothesis testing.

### Parameters

#### $value

`float`

#### $mean

`float`

Mean Value

#### $stdDev

`float`

Standard Deviation

#### $cumulative

`boolean`

### Returns

`float`

## NORMINV

    NORMINV($probability, float $mean, float $stdDev) : float

Static

Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation.

### Parameters

#### $probability

#### $mean

`float`

Mean Value

#### $stdDev

`float`

Standard Deviation

### Returns

`float`

## NORMSDIST

    NORMSDIST(float $value) : float

Static

Returns the standard normal cumulative distribution function. The distribution has a mean of 0 (zero) and a standard deviation of one. Use this function in place of a table of standard normal curve areas.

### Parameters

#### $value

`float`

### Returns

`float`

## NORMSINV

    NORMSINV(float $value) : float

Static

Returns the inverse of the standard normal cumulative distribution

### Parameters

#### $value

`float`

### Returns

`float`

## PERCENTILE

    PERCENTILE() : float

Static

Returns the nth percentile of values in a range..

Excel Function: PERCENTILE(value1[,value2[, ...]],entry)

access | public
category | Statistical Functions

### Returns

`float`

## PERCENTRANK

    PERCENTRANK(array $valueSet, \number $value, \number $significance) : float

Static

Returns the rank of a value in a data set as a percentage of the data set.

### Parameters

#### $valueSet

`array`

of number An array of, or a reference to, a list of numbers.

#### $value

`\number`

The number whose rank you want to find.

#### $significance

`\number`

The number of significant digits for the returned percentage value.

### Returns

`float`

## PERMUT

    PERMUT(int $numObjs, int $numInSet) : int

Static

Returns the number of permutations for a given number of objects that can be selected from number objects. A permutation is any set or subset of objects or events where internal order is significant. Permutations are different from combinations, for which the internal order is not significant. Use this function for lottery-style probability calculations.

### Parameters

#### $numObjs

`int`

Number of different objects

#### $numInSet

`int`

Number of objects in each permutation

### Returns

`int`Number of permutations

## POISSON

    POISSON(float $value, float $mean, boolean $cumulative) : float

Static

Returns the Poisson distribution. A common application of the Poisson distribution is predicting the number of events over a specific time, such as the number of cars arriving at a toll plaza in 1 minute.

### Parameters

#### $value

`float`

#### $mean

`float`

Mean Value

#### $cumulative

`boolean`

### Returns

`float`

## QUARTILE

    QUARTILE() : float

Static

Returns the quartile of a data set.

Excel Function: QUARTILE(value1[,value2[, ...]],entry)

access | public
category | Statistical Functions

### Returns

`float`

## RANK

    RANK(\number $value, array $valueSet, mixed $order) : float

Static

Returns the rank of a number in a list of numbers.

### Parameters

#### $value

`\number`

The number whose rank you want to find.

#### $valueSet

`array`

of number An array of, or a reference to, a list of numbers.

#### $order

`mixed`

Order to sort the values in the value set

### Returns

`float`

## RSQ

    RSQ(array $yValues, array $xValues) : float

Static

Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## SKEW

    SKEW() : float

Static

Returns the skewness of a distribution. Skewness characterizes the degree of asymmetry of a distribution around its mean. Positive skewness indicates a distribution with an asymmetric tail extending toward more positive values. Negative skewness indicates a distribution with an asymmetric tail extending toward more negative values.

### Returns

`float`

## SLOPE

    SLOPE(array $yValues, array $xValues) : float

Static

Returns the slope of the linear regression line through data points in known_y's and known_x's.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## SMALL

    SMALL() : float

Static

Returns the nth smallest value in a data set. You can use this function to select a value based on its relative standing.

Excel Function: SMALL(value1[,value2[, ...]],entry)

access | public
category | Statistical Functions

### Returns

`float`

## STANDARDIZE

    STANDARDIZE(float $value, float $mean, float $stdDev) : float

Static

Returns a normalized value from a distribution characterized by mean and standard_dev.

### Parameters

#### $value

`float`

Value to normalize

#### $mean

`float`

Mean Value

#### $stdDev

`float`

Standard Deviation

### Returns

`float`Standardized value

## STDEV

    STDEV() : float

Static

Estimates standard deviation based on a sample. The standard deviation is a measure of how widely values are dispersed from the average value (the mean).

Excel Function: STDEV(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## STDEVA

    STDEVA() : float

Static

Estimates standard deviation based on a sample, including numbers, text, and logical values

Excel Function: STDEVA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## STDEVP

    STDEVP() : float

Static

Calculates standard deviation based on the entire population

Excel Function: STDEVP(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## STDEVPA

    STDEVPA() : float

Static

Calculates standard deviation based on the entire population, including numbers, text, and logical values

Excel Function: STDEVPA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## STEYX

    STEYX(array $yValues, array $xValues) : float

Static

Returns the standard error of the predicted y-value for each x in the regression.

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

### Returns

`float`

## TDIST

    TDIST(float $value, float $degrees, float $tails) : float

Static

Returns the probability of Student's T distribution.

### Parameters

#### $value

`float`

Value for the function

#### $degrees

`float`

degrees of freedom

#### $tails

`float`

number of tails (1 or 2)

### Returns

`float`

## TINV

    TINV(float $probability, float $degrees) : float

Static

Returns the one-tailed probability of the chi-squared distribution.

### Parameters

#### $probability

`float`

Probability for the function

#### $degrees

`float`

degrees of freedom

### Returns

`float`

## TREND

    TREND(array $yValues, array $xValues, array $newValues, boolean $const) : array

Static

Returns values along a linear trend

### Parameters

#### $yValues

`array`

of mixed Data Series Y

#### $xValues

`array`

of mixed Data Series X

#### $newValues

`array`

of mixed Values of X for which we want to find Y

#### $const

`boolean`

A logical value specifying whether to force the intersect to equal 0.

### Returns

`array`of float

## TRIMMEAN

    TRIMMEAN() : float

Static

Returns the mean of the interior of a data set. TRIMMEAN calculates the mean taken by excluding a percentage of data points from the top and bottom tails of a data set.

Excel Function: TRIMEAN(value1[,value2[, ...]],$discard)

access | public
category | Statistical Functions

### Returns

`float`

## VARA

    VARA() : float

Static

Estimates variance based on a sample, including numbers, text, and logical values

Excel Function: VARA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## VARFunc

    VARFunc() : float

Static

Estimates variance based on a sample.

Excel Function: VAR(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## VARP

    VARP() : float

Static

Calculates variance based on the entire population

Excel Function: VARP(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## VARPA

    VARPA() : float

Static

Calculates variance based on the entire population, including numbers, text, and logical values

Excel Function: VARPA(value1[,value2[, ...]])

access | public
category | Statistical Functions

### Returns

`float`

## WEIBULL

    WEIBULL(float $value, float $alpha, float $beta, boolean $cumulative) : float

Static

Returns the Weibull distribution. Use this distribution in reliability analysis, such as calculating a device's mean time to failure.

### Parameters

#### $value

`float`

#### $alpha

`float`

Alpha Parameter

#### $beta

`float`

Beta Parameter

#### $cumulative

`boolean`

### Returns

`float`

## ZTEST

    ZTEST(float $dataSet, float $m0, float $sigma) : float

Static

Returns the Weibull distribution. Use this distribution in reliability analysis, such as calculating a device's mean time to failure.

### Parameters

#### $dataSet

`float`

#### $m0

`float`

Alpha Parameter

#### $sigma

`float`

Beta Parameter

### Returns

`float`

## Beta function.

    _beta(\p $p, \q $q) :

Static

author | Jaco van Kooten

### Parameters

#### $p

`\p`

require p>0

#### $q

`\q`

require q>0

### Returns

if p<=0, q<=0 or p+q>2.55E305 to avoid errors and over/underflow

## Evaluates of continued fraction part of incomplete beta function.

    _betaFraction($x, $p, $q)

Static

Based on an idea from Numerical Recipes (W.H. Press et al, 1992).

author | Jaco van Kooten

### Parameters

#### $x

#### $p

#### $q

## _checkTrendArrays()

    _checkTrendArrays($array1, $array2)

Static

### Parameters

#### $array1

#### $array2

## _gamma()

    _gamma($data)

Static

### Parameters

#### $data

## Incomplete beta function

    _incompleteBeta(\x $x, \p $p, \q $q) :

Static

author | Jaco van Kooten
author | Paul Meagher The computation is based on formulas from Numerical Recipes, Chapter 6.4 (W.H. Press et al, 1992).

### Parameters

#### $x

`\x`

require 0<=x<=1

#### $p

`\p`

require p>0

#### $q

`\q`

require q>0

### Returns

if x<0, p<=0, q<=0 or p+q>2.55E305 and 1 if x>1 to avoid errors and over/underflow

## _incompleteGamma()

    _incompleteGamma($a, $x)

Static

### Parameters

#### $a

#### $x

## _inverse_ncdf()

    _inverse_ncdf($p)

Static

### Parameters

#### $p

## _inverse_ncdf2()

    _inverse_ncdf2($prob)

Static

### Parameters

#### $prob

## _inverse_ncdf3()

    _inverse_ncdf3($p)

Static

### Parameters

#### $p

## The natural logarithm of the beta function.

    _logBeta(\p $p, \q $q) :

Static

author | Jaco van Kooten

### Parameters

#### $p

`\p`

require p>0

#### $q

`\q`

require q>0

### Returns

if p<=0, q<=0 or p+q>2.55E305 to avoid errors and over/underflow

## _logGamma()

    _logGamma($x)

Static

### Parameters

#### $x

## _modeCalc()

    _modeCalc($data)

Static

### Parameters

#### $data

### Properties

##

    $_logBetaCache_p

##

    $_logBetaCache_q

##

    $_logBetaCache_result

##

    $_logGammaCache_result

##

    $_logGammaCache_x