Collaboration diagram for PhpOffice\PhpSpreadsheet\Calculation\Statistical:

Static Public Member Functions
static	AVEDEV (... $args)
	AVEDEV. More...

static	AVERAGE (... $args)
	AVERAGE. More...

static	AVERAGEA (... $args)
	AVERAGEA. More...

static	AVERAGEIF ($range, $condition, $averageRange=[])
	AVERAGEIF. More...

static	BETADIST ($value, $alpha, $beta, $rMin=0, $rMax=1)
	BETADIST. More...

static	BETAINV ($probability, $alpha, $beta, $rMin=0, $rMax=1)
	BETAINV. More...

static	BINOMDIST ($value, $trials, $probability, $cumulative)
	BINOMDIST. More...

static	CHIDIST ($value, $degrees)
	CHIDIST. More...

static	CHIINV ($probability, $degrees)
	CHIINV. More...

static	CONFIDENCE ($alpha, $stdDev, $size)
	CONFIDENCE. More...

static	CORREL ($yValues, $xValues=null)
	CORREL. More...

static	COUNT (... $args)
	COUNT. More...

static	COUNTA (... $args)
	COUNTA. More...

static	COUNTBLANK (... $args)
	COUNTBLANK. More...

static	COUNTIF ($range, $condition)
	COUNTIF. More...

static	COUNTIFS (... $args)
	COUNTIFS. More...

static	COVAR ($yValues, $xValues)
	COVAR. More...

static	CRITBINOM ($trials, $probability, $alpha)
	CRITBINOM. More...

static	DEVSQ (... $args)
	DEVSQ. More...

static	EXPONDIST ($value, $lambda, $cumulative)
	EXPONDIST. More...

static	FDIST2 ($value, $u, $v, $cumulative)
	F.DIST. More...

static	FISHER ($value)
	FISHER. More...

static	FISHERINV ($value)
	FISHERINV. More...

static	FORECAST ($xValue, $yValues, $xValues)
	FORECAST. More...

static	GAMMAFunction ($value)
	GAMMA. More...

static	GAMMADIST ($value, $a, $b, $cumulative)
	GAMMADIST. More...

static	GAMMAINV ($probability, $alpha, $beta)
	GAMMAINV. More...

static	GAMMALN ($value)
	GAMMALN. More...

static	GAUSS ($value)
	GAUSS. More...

static	GEOMEAN (... $args)
	GEOMEAN. More...

static	GROWTH ($yValues, $xValues=[], $newValues=[], $const =true)
	GROWTH. More...

static	HARMEAN (... $args)
	HARMEAN. More...

static	HYPGEOMDIST ($sampleSuccesses, $sampleNumber, $populationSuccesses, $populationNumber)
	HYPGEOMDIST. More...

static	INTERCEPT ($yValues, $xValues)
	INTERCEPT. More...

static	KURT (... $args)
	KURT. More...

static	LARGE (... $args)
	LARGE. More...

static	LINEST ($yValues, $xValues=null, $const =true, $stats=false)
	LINEST. More...

static	LOGEST ($yValues, $xValues=null, $const =true, $stats=false)
	LOGEST. More...

static	LOGINV ($probability, $mean, $stdDev)
	LOGINV. More...

static	LOGNORMDIST ($value, $mean, $stdDev)
	LOGNORMDIST. More...

static	LOGNORMDIST2 ($value, $mean, $stdDev, $cumulative=false)
	LOGNORM.DIST. More...

static	MAX (... $args)
	MAX. More...

static	MAXA (... $args)
	MAXA. More...

static	MAXIFS (... $args)
	MAXIFS. More...

static	MEDIAN (... $args)
	MEDIAN. More...

static	MIN (... $args)
	MIN. More...

static	MINA (... $args)
	MINA. More...

static	MINIFS (... $args)
	MINIFS. More...

static	MODE (... $args)
	MODE. More...

static	NEGBINOMDIST ($failures, $successes, $probability)
	NEGBINOMDIST. More...

static	NORMDIST ($value, $mean, $stdDev, $cumulative)
	NORMDIST. More...

static	NORMINV ($probability, $mean, $stdDev)
	NORMINV. More...

static	NORMSDIST ($value)
	NORMSDIST. More...

static	NORMSDIST2 ($value, $cumulative)
	NORM.S.DIST. More...

static	NORMSINV ($value)
	NORMSINV. More...

static	PERCENTILE (... $args)
	PERCENTILE. More...

static	PERCENTRANK ($valueSet, $value, $significance=3)
	PERCENTRANK. More...

static	PERMUT ($numObjs, $numInSet)
	PERMUT. More...

static	POISSON ($value, $mean, $cumulative)
	POISSON. More...

static	QUARTILE (... $args)
	QUARTILE. More...

static	RANK ($value, $valueSet, $order=0)
	RANK. More...

static	RSQ ($yValues, $xValues)
	RSQ. More...

static	SKEW (... $args)
	SKEW. More...

static	SLOPE ($yValues, $xValues)
	SLOPE. More...

static	SMALL (... $args)
	SMALL. More...

static	STANDARDIZE ($value, $mean, $stdDev)
	STANDARDIZE. More...

static	STDEV (... $args)
	STDEV. More...

static	STDEVA (... $args)
	STDEVA. More...

static	STDEVP (... $args)
	STDEVP. More...

static	STDEVPA (... $args)
	STDEVPA. More...

static	STEYX ($yValues, $xValues)
	STEYX. More...

static	TDIST ($value, $degrees, $tails)
	TDIST. More...

static	TINV ($probability, $degrees)
	TINV. More...

static	TREND ($yValues, $xValues=[], $newValues=[], $const =true)
	TREND. More...

static	TRIMMEAN (... $args)
	TRIMMEAN. More...

static	VARFunc (... $args)
	VARFunc. More...

static	VARA (... $args)
	VARA. More...

static	VARP (... $args)
	VARP. More...

static	VARPA (... $args)
	VARPA. More...

static	WEIBULL ($value, $alpha, $beta, $cumulative)
	WEIBULL. More...

static	ZTEST ($dataSet, $m0, $sigma=null)
	ZTEST. More...

Data Fields
const	LOG_GAMMA_X_MAX_VALUE = 2.55e305

const	EPS = 2.22e-16

const	MAX_VALUE = 1.2e308

const	SQRT2PI = 2.5066282746310005024157652848110452530069867406099

Detailed Description

Deprecated:: 1.18.0

Definition at line 19 of file Statistical.php.

Member Function Documentation

◆ AVEDEV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::AVEDEV ( $args )

static

AVEDEV.

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[, ...]])

1.17.0

See also: Statistical::averageDeviations() Use the averageDeviations() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 44 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\averageDeviations().

     {
         return Averages::averageDeviations(...$args);
     }

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◆ AVERAGE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::AVERAGE ( $args )

static

AVERAGE.

Returns the average (arithmetic mean) of the arguments

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

1.17.0

See also: Statistical::average() Use the average() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 66 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\average().

     {
         return Averages::average(...$args);
     }

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◆ AVERAGEA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::AVERAGEA ( $args )

static

AVERAGEA.

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

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

1.17.0

See also: Statistical::averageA() Use the averageA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 88 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\averageA().

     {
         return Averages::averageA(...$args);
     }

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◆ AVERAGEIF()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::AVERAGEIF	(	$range,
		$condition,
		$averageRange = `[]`
	)

static

AVERAGEIF.

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

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

1.17.0

See also: Statistical::AVERAGEIF() Use the AVERAGEIF() method in the Statistical class instead

Parameters

mixed	$range	Data values
string	$condition	the criteria that defines which cells will be checked
	mixed[]	$averageRange Data values

Returns: null|float|string

Definition at line 112 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Conditional\AVERAGEIF().

     {
         return Conditional::AVERAGEIF($range, $condition, $averageRange);
     }

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◆ BETADIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::BETADIST	(	$value,
		$alpha,
		$beta,
		$rMin = `0`,
		$rMax = `1`
	)

static

BETADIST.

Returns the beta distribution.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value	Value at which you want to evaluate the distribution
float	$alpha	Parameter to the distribution
float	$beta	Parameter to the distribution
mixed	$rMin
mixed	$rMax

Returns: float|string

Definition at line 135 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Beta\distribution().

     {
         return Statistical\Distributions\Beta::distribution($value, $alpha, $beta, $rMin, $rMax);
     }

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◆ BETAINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::BETAINV	(	$probability,
		$alpha,
		$beta,
		$rMin = `0`,
		$rMax = `1`
	)

static

BETAINV.

Returns the inverse of the Beta distribution.

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float	$probability	Probability at which you want to evaluate the distribution
float	$alpha	Parameter to the distribution
float	$beta	Parameter to the distribution
float	$rMin	Minimum value
float	$rMax	Maximum value

Returns: float|string

Definition at line 158 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Beta\inverse().

     {
         return Statistical\Distributions\Beta::inverse($probability, $alpha, $beta, $rMin, $rMax);
     }

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◆ BINOMDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::BINOMDIST	(	$value,
		$trials,
		$probability,
		$cumulative
	)

static

BINOMDIST.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

mixed	$value	Number of successes in trials
mixed	$trials	Number of trials
mixed	$probability	Probability of success on each trial
mixed	$cumulative

Returns: float|string

Definition at line 184 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Binomial\distribution().

     {
         return Statistical\Distributions\Binomial::distribution($value, $trials, $probability, $cumulative);
     }

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◆ CHIDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::CHIDIST	(	$value,
		$degrees
	)

static

CHIDIST.

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

1.18.0

See also: Statistical::distributionRightTail() Use the distributionRightTail() method in the Statistical class instead

Parameters

float	$value	Value for the function
float	$degrees	degrees of freedom

Returns: float|string

Definition at line 204 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\ChiSquared\distributionRightTail().

     {
         return Statistical\Distributions\ChiSquared::distributionRightTail($value, $degrees);
     }

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◆ CHIINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::CHIINV	(	$probability,
		$degrees
	)

static

CHIINV.

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

1.18.0

See also: Statistical::inverseRightTail() Use the inverseRightTail() method in the Statistical class instead

Parameters

float	$probability	Probability for the function
float	$degrees	degrees of freedom

Returns: float|string

Definition at line 224 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\ChiSquared\inverseRightTail().

     {
         return Statistical\Distributions\ChiSquared::inverseRightTail($probability, $degrees);
     }

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◆ CONFIDENCE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::CONFIDENCE	(	$alpha,
		$stdDev,
		$size
	)

static

CONFIDENCE.

Returns the confidence interval for a population mean

1.18.0

See also: Statistical::CONFIDENCE() Use the CONFIDENCE() method in the Statistical class instead

Parameters

float	$alpha
float	$stdDev	Standard Deviation
float	$size

Returns: float|string

Definition at line 245 of file Statistical.php.

References $size, and PhpOffice\PhpSpreadsheet\Calculation\Statistical\Confidence\CONFIDENCE().

     {
         return Confidence::CONFIDENCE($alpha, $stdDev, $size);
     }

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◆ CORREL()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::CORREL	(	$yValues,
		$xValues = `null`
	)

static

CORREL.

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

1.18.0

See also: Statistical::CORREL() Use the CORREL() method in the Statistical class instead

Parameters

mixed	$yValues	array of mixed Data Series Y
null \| mixed	$xValues	array of mixed Data Series X

Returns: float|string

Definition at line 265 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\CORREL().

     {
         return Trends::CORREL($xValues, $yValues);
     }

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◆ COUNT()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COUNT ( $args )

static

COUNT.

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

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

1.17.0

See also: Statistical::COUNT() Use the COUNT() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: int

Definition at line 287 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Counts\COUNT().

     {
         return Counts::COUNT(...$args);
     }

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◆ COUNTA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COUNTA ( $args )

static

COUNTA.

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

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

1.17.0

See also: Statistical::COUNTA() Use the COUNTA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: int

Definition at line 309 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Counts\COUNTA().

     {
         return Counts::COUNTA(...$args);
     }

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◆ COUNTBLANK()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COUNTBLANK ( $args )

static

COUNTBLANK.

Counts the number of empty cells within the list of arguments

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

1.17.0

See also: Statistical::COUNTBLANK() Use the COUNTBLANK() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: int

Definition at line 331 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Counts\COUNTBLANK().

     {
         return Counts::COUNTBLANK(...$args);
     }

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◆ COUNTIF()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COUNTIF	(	$range,
		$condition
	)

static

COUNTIF.

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

Excel Function: COUNTIF(range,condition)

1.17.0

See also: Statistical::COUNTIF() Use the COUNTIF() method in the Statistical class instead

Parameters

mixed	$range	Data values
string	$condition	the criteria that defines which cells will be counted

Returns: int

Definition at line 354 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Conditional\COUNTIF().

     {
         return Conditional::COUNTIF($range, $condition);
     }

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◆ COUNTIFS()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COUNTIFS ( $args )

static

COUNTIFS.

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

Excel Function: COUNTIFS(criteria_range1, criteria1, [criteria_range2, criteria2]…)

1.17.0

See also: Statistical::COUNTIFS() Use the COUNTIFS() method in the Statistical class instead

Parameters

mixed $args Pairs of Ranges and Criteria

Returns: int

Definition at line 376 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Conditional\COUNTIFS().

     {
         return Conditional::COUNTIFS(...$args);
     }

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◆ COVAR()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::COVAR	(	$yValues,
		$xValues
	)

static

COVAR.

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

1.18.0

See also: Statistical::COVAR() Use the COVAR() method in the Statistical class instead

Parameters

mixed	$yValues	array of mixed Data Series Y
mixed	$xValues	array of mixed Data Series X

Returns: float|string

Definition at line 396 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\COVAR().

     {
         return Trends::COVAR($yValues, $xValues);
     }

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◆ CRITBINOM()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::CRITBINOM	(	$trials,
		$probability,
		$alpha
	)

static

CRITBINOM.

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

See https://support.microsoft.com/en-us/help/828117/ for details of the algorithm used

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float	$trials	number of Bernoulli trials
float	$probability	probability of a success on each trial
float	$alpha	criterion value

Returns: int|string

Definition at line 420 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Binomial\inverse().

     {
         return Statistical\Distributions\Binomial::inverse($trials, $probability, $alpha);
     }

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◆ DEVSQ()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::DEVSQ ( $args )

static

DEVSQ.

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

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

1.18.0

See also: Statistical::sumSquares() Use the sumSquares() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 442 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Deviations\sumSquares().

     {
         return Statistical\Deviations::sumSquares(...$args);
     }

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◆ EXPONDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::EXPONDIST	(	$value,
		$lambda,
		$cumulative
	)

static

EXPONDIST.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value	Value of the function
float	$lambda	The parameter value
bool	$cumulative

Returns: float|string

Definition at line 465 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Exponential\distribution().

     {
         return Statistical\Distributions\Exponential::distribution($value, $lambda, $cumulative);
     }

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◆ FDIST2()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::FDIST2	(	$value,
		$u,
		$v,
		$cumulative
	)

static

F.DIST.

Returns the F probability distribution. You can use this function to determine whether two data sets have different degrees of diversity. For example, you can examine the test scores of men and women entering high school, and determine if the variability in the females is different from that found in the males.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value	Value of the function
int	$u	The numerator degrees of freedom
int	$v	The denominator degrees of freedom
bool	$cumulative	If cumulative is TRUE, F.DIST returns the cumulative distribution function; if FALSE, it returns the probability density function.

Returns: float|string

Definition at line 491 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\F\distribution().

     {
         return Statistical\Distributions\F::distribution($value, $u, $v, $cumulative);
     }

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◆ FISHER()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::FISHER ( $value )

static

FISHER.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float $value

Returns: float|string

Definition at line 512 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Fisher\distribution().

     {
         return Statistical\Distributions\Fisher::distribution($value);
     }

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◆ FISHERINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::FISHERINV ( $value )

static

FISHERINV.

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.

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float $value

Returns: float|string

Definition at line 533 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Fisher\inverse().

     {
         return Statistical\Distributions\Fisher::inverse($value);
     }

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◆ FORECAST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::FORECAST	(	$xValue,
		$yValues,
		$xValues
	)

static

FORECAST.

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

1.18.0

See also: Statistical::FORECAST() Use the FORECAST() method in the Statistical class instead

Parameters

float	$xValue	Value of X for which we want to find Y
mixed	$yValues	array of mixed Data Series Y
mixed	$xValues	of mixed Data Series X

Returns: bool|float|string

Definition at line 554 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\FORECAST().

     {
         return Trends::FORECAST($xValue, $yValues, $xValues);
     }

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◆ GAMMADIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GAMMADIST	(	$value,
		$a,
		$b,
		$cumulative
	)

static

GAMMADIST.

Returns the gamma distribution.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value	Value at which you want to evaluate the distribution
float	$a	Parameter to the distribution
float	$b	Parameter to the distribution
bool	$cumulative

Returns: float|string

Definition at line 595 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Gamma\distribution().

     {
         return Statistical\Distributions\Gamma::distribution($value, $a, $b, $cumulative);
     }

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◆ GAMMAFunction()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GAMMAFunction ( $value )

static

GAMMA.

Returns the gamma function value.

1.18.0

See also: Statistical::gamma() Use the gamma() method in the Statistical class instead

Parameters

float $value

Returns: float|string The result, or a string containing an error

Definition at line 573 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Gamma\gamma().

     {
         return Statistical\Distributions\Gamma::gamma($value);
     }

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◆ GAMMAINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GAMMAINV	(	$probability,
		$alpha,
		$beta
	)

static

GAMMAINV.

Returns the inverse of the Gamma distribution.

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float	$probability	Probability at which you want to evaluate the distribution
float	$alpha	Parameter to the distribution
float	$beta	Parameter to the distribution

Returns: float|string

Definition at line 616 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Gamma\inverse().

     {
         return Statistical\Distributions\Gamma::inverse($probability, $alpha, $beta);
     }

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◆ GAMMALN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GAMMALN ( $value )

static

GAMMALN.

Returns the natural logarithm of the gamma function.

1.18.0

See also: Statistical::ln() Use the ln() method in the Statistical class instead

Parameters

float $value

Returns: float|string

Definition at line 635 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Gamma\ln().

     {
         return Statistical\Distributions\Gamma::ln($value);
     }

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◆ GAUSS()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GAUSS ( $value )

static

GAUSS.

Calculates the probability that a member of a standard normal population will fall between the mean and z standard deviations from the mean.

1.18.0

See also: Statistical::gauss() Use the gauss() method in the Statistical class instead

Parameters

float $value

Returns: float|string The result, or a string containing an error

Definition at line 655 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StandardNormal\gauss().

     {
         return Statistical\Distributions\StandardNormal::gauss($value);
     }

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◆ GEOMEAN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GEOMEAN ( $args )

static

GEOMEAN.

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[, ...]])

1.18.0

See also: Statistical::geometric() Use the geometric() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 679 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\Mean\geometric().

     {
         return Statistical\Averages\Mean::geometric(...$args);
     }

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◆ GROWTH()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::GROWTH	(	$yValues,
		$xValues = `[]`,
		$newValues = `[]`,
		$const = `true`
	)

static

GROWTH.

Returns values along a predicted exponential Trend

1.18.0

See also: Statistical::GROWTH() Use the GROWTH() method in the Statistical class instead

Parameters

	mixed[]	$yValues Data Series Y
	mixed[]	$xValues Data Series X
	mixed[]	$newValues Values of X for which we want to find Y
bool	$const	a logical value specifying whether to force the intersect to equal 0

Returns: float[]

Definition at line 701 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\GROWTH().

     {
         return Trends::GROWTH($yValues, $xValues, $newValues, $const);
     }

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◆ HARMEAN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::HARMEAN ( $args )

static

HARMEAN.

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[, ...]])

1.18.0

See also: Statistical::harmonic() Use the harmonic() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 724 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\Mean\harmonic().

     {
         return Statistical\Averages\Mean::harmonic(...$args);
     }

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◆ HYPGEOMDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::HYPGEOMDIST	(	$sampleSuccesses,
		$sampleNumber,
		$populationSuccesses,
		$populationNumber
	)

static

HYPGEOMDIST.

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

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

mixed	$sampleSuccesses	Number of successes in the sample
mixed	$sampleNumber	Size of the sample
mixed	$populationSuccesses	Number of successes in the population
mixed	$populationNumber	Population size

Returns: float|string

Definition at line 747 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\HyperGeometric\distribution().

     {
         return Statistical\Distributions\HyperGeometric::distribution(
             $sampleSuccesses,
             $sampleNumber,
             $populationSuccesses,
             $populationNumber
         );
     }

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◆ INTERCEPT()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::INTERCEPT	(	$yValues,
		$xValues
	)

static

INTERCEPT.

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

1.18.0

See also: Statistical::INTERCEPT() Use the INTERCEPT() method in the Statistical class instead

Parameters

mixed[]	$yValues Data Series Y
mixed[]	$xValues Data Series X

Returns: float|string

Definition at line 772 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\INTERCEPT().

     {
         return Trends::INTERCEPT($yValues, $xValues);
     }

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◆ KURT()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::KURT ( $args )

static

KURT.

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.

1.18.0

See also: Statistical::kurtosis() Use the kurtosis() method in the Statistical class instead

Parameters

array ...$args Data Series

Returns: float|string

Definition at line 794 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Deviations\kurtosis().

     {
         return Statistical\Deviations::kurtosis(...$args);
     }

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◆ LARGE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LARGE ( $args )

static

LARGE.

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)

1.18.0

See also: Statistical::large() Use the large() method in the Statistical class instead

Parameters

mixed $args Data values

Returns: float|string The result, or a string containing an error

Definition at line 817 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Size\large().

     {
         return Statistical\Size::large(...$args);
     }

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◆ LINEST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LINEST	(	$yValues,
		$xValues = `null`,
		$const = `true`,
		$stats = `false`
	)

static

LINEST.

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.

1.18.0

See also: Statistical::LINEST() Use the LINEST() method in the Statistical class instead

Parameters

	mixed[]	$yValues Data Series Y
	null\|mixed[]	$xValues Data Series X
bool	$const	a logical value specifying whether to force the intersect to equal 0
bool	$stats	a logical value specifying whether to return additional regression statistics

Returns: array|int|string The result, or a string containing an error

Definition at line 840 of file Statistical.php.

References Sabre\VObject\$stats, and PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\LINEST().

     {
         return Trends::LINEST($yValues, $xValues, $const, $stats);
     }

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◆ LOGEST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LOGEST	(	$yValues,
		$xValues = `null`,
		$const = `true`,
		$stats = `false`
	)

static

LOGEST.

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

1.18.0

See also: Statistical::LOGEST() Use the LOGEST() method in the Statistical class instead

Parameters

	mixed[]	$yValues Data Series Y
	null\|mixed[]	$xValues Data Series X
bool	$const	a logical value specifying whether to force the intersect to equal 0
bool	$stats	a logical value specifying whether to return additional regression statistics

Returns: array|int|string The result, or a string containing an error

Definition at line 863 of file Statistical.php.

References Sabre\VObject\$stats, and PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\LOGEST().

     {
         return Trends::LOGEST($yValues, $xValues, $const, $stats);
     }

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◆ LOGINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LOGINV	(	$probability,
		$mean,
		$stdDev
	)

static

LOGINV.

Returns the inverse of the normal cumulative distribution

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float	$probability
float	$mean
float	$stdDev

Returns: float|string The result, or a string containing an error

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/

Definition at line 888 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\LogNormal\inverse().

     {
         return Statistical\Distributions\LogNormal::inverse($probability, $mean, $stdDev);
     }

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◆ LOGNORMDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LOGNORMDIST	(	$value,
		$mean,
		$stdDev
	)

static

LOGNORMDIST.

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

1.18.0

See also: Statistical::cumulative() Use the cumulative() method in the Statistical class instead

Parameters

float	$value
float	$mean
float	$stdDev

Returns: float|string The result, or a string containing an error

Definition at line 910 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\LogNormal\cumulative().

     {
         return Statistical\Distributions\LogNormal::cumulative($value, $mean, $stdDev);
     }

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◆ LOGNORMDIST2()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::LOGNORMDIST2	(	$value,
		$mean,
		$stdDev,
		$cumulative = `false`
	)

static

LOGNORM.DIST.

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

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value
float	$mean
float	$stdDev
bool	$cumulative

Returns: float|string The result, or a string containing an error

Definition at line 933 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\LogNormal\distribution().

     {
         return Statistical\Distributions\LogNormal::distribution($value, $mean, $stdDev, $cumulative);
     }

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◆ MAX()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MAX ( $args )

static

MAX.

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[, ...]])

1.17.0

Parameters

mixed ...$args Data values

Returns: float

See also: Statistical::max() Use the MAX() method in the Statistical class instead

Definition at line 956 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Maximum\max().

     {
         return Maximum::max(...$args);
     }

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◆ MAXA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MAXA ( $args )

static

MAXA.

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

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

1.17.0

Parameters

mixed ...$args Data values

Returns: float

See also: Statistical::maxA() Use the MAXA() method in the Statistical class instead

Definition at line 978 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Maximum\maxA().

     {
         return Maximum::maxA(...$args);
     }

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◆ MAXIFS()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MAXIFS ( $args )

static

MAXIFS.

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

Excel Function: MAXIFS(max_range, criteria_range1, criteria1, [criteria_range2, criteria2], ...)

1.17.0

See also: Statistical::MAXIFS() Use the MAXIFS() method in the Statistical class instead

Parameters

mixed $args Data range and criterias

Returns: float

Definition at line 1000 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Conditional\MAXIFS().

     {
         return Conditional::MAXIFS(...$args);
     }

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◆ MEDIAN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MEDIAN ( $args )

static

MEDIAN.

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[, ...]])

1.18.0

See also: Statistical::median() Use the median() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1022 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\median().

     {
         return Statistical\Averages::median(...$args);
     }

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◆ MIN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MIN ( $args )

static

MIN.

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[, ...]])

1.17.0

Parameters

mixed ...$args Data values

Returns: float

See also: Statistical::min() Use the min() method in the Statistical class instead

Definition at line 1045 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Minimum\min().

     {
         return Minimum::min(...$args);
     }

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◆ MINA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MINA ( $args )

static

MINA.

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

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

1.17.0

Parameters

mixed ...$args Data values

Returns: float

See also: Statistical::minA() Use the minA() method in the Statistical class instead

Definition at line 1067 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Minimum\minA().

     {
         return Minimum::minA(...$args);
     }

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◆ MINIFS()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MINIFS ( $args )

static

MINIFS.

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

Excel Function: MINIFS(min_range, criteria_range1, criteria1, [criteria_range2, criteria2], ...)

1.17.0

See also: Statistical::MINIFS() Use the MINIFS() method in the Statistical class instead

Parameters

mixed $args Data range and criterias

Returns: float

Definition at line 1089 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Conditional\MINIFS().

     {
         return Conditional::MINIFS(...$args);
     }

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◆ MODE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::MODE ( $args )

static

MODE.

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

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

1.18.0

See also: Statistical::mode() Use the mode() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1111 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\mode().

     {
         return Statistical\Averages::mode(...$args);
     }

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◆ NEGBINOMDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NEGBINOMDIST	(	$failures,
		$successes,
		$probability
	)

static

NEGBINOMDIST.

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.

1.18.0

See also: Statistical::negative() Use the negative() method in the Statistical class instead

Parameters

mixed	$failures	Number of Failures
mixed	$successes	Threshold number of Successes
mixed	$probability	Probability of success on each trial

Returns: float|string The result, or a string containing an error

Definition at line 1136 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Binomial\negative().

     {
         return Statistical\Distributions\Binomial::negative($failures, $successes, $probability);
     }

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◆ NORMDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NORMDIST	(	$value,
		$mean,
		$stdDev,
		$cumulative
	)

static

NORMDIST.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

mixed	$value
mixed	$mean	Mean Value
mixed	$stdDev	Standard Deviation
mixed	$cumulative

Returns: float|string The result, or a string containing an error

Definition at line 1160 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Normal\distribution().

     {
         return Statistical\Distributions\Normal::distribution($value, $mean, $stdDev, $cumulative);
     }

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◆ NORMINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NORMINV	(	$probability,
		$mean,
		$stdDev
	)

static

NORMINV.

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

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

mixed	$probability
mixed	$mean	Mean Value
mixed	$stdDev	Standard Deviation

Returns: float|string The result, or a string containing an error

Definition at line 1181 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Normal\inverse().

     {
         return Statistical\Distributions\Normal::inverse($probability, $mean, $stdDev);
     }

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◆ NORMSDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NORMSDIST ( $value )

static

NORMSDIST.

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.

1.18.0

See also: Statistical::cumulative() Use the cumulative() method in the Statistical class instead

Parameters

mixed $value

Returns: float|string The result, or a string containing an error

Definition at line 1202 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StandardNormal\cumulative().

     {
         return Statistical\Distributions\StandardNormal::cumulative($value);
     }

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◆ NORMSDIST2()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NORMSDIST2	(	$value,
		$cumulative
	)

static

NORM.S.DIST.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

mixed	$value
mixed	$cumulative

Returns: float|string The result, or a string containing an error

Definition at line 1224 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StandardNormal\distribution().

     {
         return Statistical\Distributions\StandardNormal::distribution($value, $cumulative);
     }

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◆ NORMSINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::NORMSINV ( $value )

static

NORMSINV.

Returns the inverse of the standard normal cumulative distribution

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

mixed $value

Returns: float|string The result, or a string containing an error

Definition at line 1243 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StandardNormal\inverse().

     {
         return Statistical\Distributions\StandardNormal::inverse($value);
     }

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◆ PERCENTILE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::PERCENTILE ( $args )

static

PERCENTILE.

Returns the nth percentile of values in a range..

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

1.18.0

See also: Statistical::PERCENTILE() Use the PERCENTILE() method in the Statistical class instead

Parameters

mixed $args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1265 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Percentiles\PERCENTILE().

     {
         return Statistical\Percentiles::PERCENTILE(...$args);
     }

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◆ PERCENTRANK()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::PERCENTRANK	(	$valueSet,
		$value,
		$significance = `3`
	)

static

PERCENTRANK.

Returns the rank of a value in a data set as a percentage of the data set. Note that the returned rank is simply rounded to the appropriate significant digits, rather than floored (as MS Excel), so value 3 for a value set of 1, 2, 3, 4 will return 0.667 rather than 0.666

1.18.0

See also: Statistical::PERCENTRANK() Use the PERCENTRANK() method in the Statistical class instead

Parameters

mixed	$valueSet	An array of, or a reference to, a list of numbers
mixed	$value	the number whose rank you want to find
mixed	$significance	the number of significant digits for the returned percentage value

Returns: float|string (string if result is an error)

Definition at line 1289 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Percentiles\PERCENTRANK().

     {
         return Statistical\Percentiles::PERCENTRANK($valueSet, $value, $significance);
     }

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◆ PERMUT()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::PERMUT	(	$numObjs,
		$numInSet
	)

static

PERMUT.

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.

1.17.0

See also: Statistical::PERMUT() Use the PERMUT() method in the Statistical class instead

Parameters

int	$numObjs	Number of different objects
int	$numInSet	Number of objects in each permutation

Returns: float|int|string Number of permutations, or a string containing an error

Definition at line 1313 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Permutations\PERMUT().

     {
         return Permutations::PERMUT($numObjs, $numInSet);
     }

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◆ POISSON()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::POISSON	(	$value,
		$mean,
		$cumulative
	)

static

POISSON.

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.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

mixed	$value
mixed	$mean	Mean Value
mixed	$cumulative

Returns: float|string The result, or a string containing an error

Definition at line 1336 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Poisson\distribution().

     {
         return Statistical\Distributions\Poisson::distribution($value, $mean, $cumulative);
     }

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◆ QUARTILE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::QUARTILE ( $args )

static

QUARTILE.

Returns the quartile of a data set.

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

1.18.0

See also: Statistical::QUARTILE() Use the QUARTILE() method in the Statistical class instead

Parameters

mixed $args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1358 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Percentiles\QUARTILE().

     {
         return Statistical\Percentiles::QUARTILE(...$args);
     }

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◆ RANK()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::RANK	(	$value,
		$valueSet,
		$order = `0`
	)

static

RANK.

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

1.18.0

See also: Statistical::RANK() Use the RANK() method in the Statistical class instead

Parameters

mixed	$value	the number whose rank you want to find
mixed	$valueSet	An array of, or a reference to, a list of numbers
mixed	$order	Order to sort the values in the value set

Returns: float|string The result, or a string containing an error

Definition at line 1379 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Percentiles\RANK().

     {
         return Statistical\Percentiles::RANK($value, $valueSet, $order);
     }

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◆ RSQ()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::RSQ	(	$yValues,
		$xValues
	)

static

RSQ.

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

1.18.0

See also: Statistical::RSQ() Use the RSQ() method in the Statistical class instead

Parameters

mixed[]	$yValues Data Series Y
mixed[]	$xValues Data Series X

Returns: float|string The result, or a string containing an error

Definition at line 1399 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\RSQ().

     {
         return Trends::RSQ($yValues, $xValues);
     }

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◆ SKEW()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::SKEW ( $args )

static

SKEW.

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.

1.18.0

See also: Statistical::skew() Use the skew() method in the Statistical class instead

Parameters

array ...$args Data Series

Returns: float|string The result, or a string containing an error

Definition at line 1421 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Deviations\skew().

     {
         return Statistical\Deviations::skew(...$args);
     }

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◆ SLOPE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::SLOPE	(	$yValues,
		$xValues
	)

static

SLOPE.

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

1.18.0

See also: Statistical::SLOPE() Use the SLOPE() method in the Statistical class instead

Parameters

mixed[]	$yValues Data Series Y
mixed[]	$xValues Data Series X

Returns: float|string The result, or a string containing an error

Definition at line 1441 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\SLOPE().

     {
         return Trends::SLOPE($yValues, $xValues);
     }

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◆ SMALL()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::SMALL ( $args )

static

SMALL.

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)

1.18.0

See also: Statistical::small() Use the small() method in the Statistical class instead

Parameters

mixed $args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1464 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Size\small().

     {
         return Statistical\Size::small(...$args);
     }

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◆ STANDARDIZE()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STANDARDIZE	(	$value,
		$mean,
		$stdDev
	)

static

STANDARDIZE.

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

1.18.0

See also: Statistical::execute() Use the execute() method in the Statistical class instead

Parameters

float	$value	Value to normalize
float	$mean	Mean Value
float	$stdDev	Standard Deviation

Returns: float|string Standardized value, or a string containing an error

Definition at line 1485 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Standardize\execute().

     {
         return Statistical\Standardize::execute($value, $mean, $stdDev);
     }

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◆ STDEV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STDEV ( $args )

static

STDEV.

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[, ...]])

1.17.0

See also: Statistical::STDEV() Use the STDEV() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string The result, or a string containing an error

Definition at line 1508 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\StandardDeviations\STDEV().

     {
         return StandardDeviations::STDEV(...$args);
     }

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◆ STDEVA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STDEVA ( $args )

static

STDEVA.

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

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

1.17.0

See also: Statistical::STDEVA() Use the STDEVA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 1530 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\StandardDeviations\STDEVA().

     {
         return StandardDeviations::STDEVA(...$args);
     }

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◆ STDEVP()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STDEVP ( $args )

static

STDEVP.

Calculates standard deviation based on the entire population

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

1.17.0

See also: Statistical::STDEVP() Use the STDEVP() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 1552 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\StandardDeviations\STDEVP().

     {
         return StandardDeviations::STDEVP(...$args);
     }

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◆ STDEVPA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STDEVPA ( $args )

static

STDEVPA.

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

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

1.17.0

See also: Statistical::STDEVPA() Use the STDEVPA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string

Definition at line 1574 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\StandardDeviations\STDEVPA().

     {
         return StandardDeviations::STDEVPA(...$args);
     }

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◆ STEYX()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::STEYX	(	$yValues,
		$xValues
	)

static

STEYX.

1.18.0

See also: Statistical::STEYX() Use the STEYX() method in the Statistical class instead

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

Parameters

mixed[]	$yValues Data Series Y
mixed[]	$xValues Data Series X

Returns: float|string

Definition at line 1594 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\STEYX().

     {
         return Trends::STEYX($yValues, $xValues);
     }

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◆ TDIST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::TDIST	(	$value,
		$degrees,
		$tails
	)

static

TDIST.

Returns the probability of Student's T distribution.

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value	Value for the function
float	$degrees	degrees of freedom
float	$tails	number of tails (1 or 2)

Returns: float|string The result, or a string containing an error

Definition at line 1615 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StudentT\distribution().

     {
         return Statistical\Distributions\StudentT::distribution($value, $degrees, $tails);
     }

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◆ TINV()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::TINV	(	$probability,
		$degrees
	)

static

TINV.

Returns the one-tailed probability of the Student-T distribution.

1.18.0

See also: Statistical::inverse() Use the inverse() method in the Statistical class instead

Parameters

float	$probability	Probability for the function
float	$degrees	degrees of freedom

Returns: float|string The result, or a string containing an error

Definition at line 1635 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StudentT\inverse().

     {
         return Statistical\Distributions\StudentT::inverse($probability, $degrees);
     }

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◆ TREND()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::TREND	(	$yValues,
		$xValues = `[]`,
		$newValues = `[]`,
		$const = `true`
	)

static

TREND.

Returns values along a linear Trend

1.18.0

See also: Statistical::TREND() Use the TREND() method in the Statistical class instead

Parameters

	mixed[]	$yValues Data Series Y
	mixed[]	$xValues Data Series X
	mixed[]	$newValues Values of X for which we want to find Y
bool	$const	a logical value specifying whether to force the intersect to equal 0

Returns: float[]

Definition at line 1657 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Trends\TREND().

     {
         return Trends::TREND($yValues, $xValues, $newValues, $const);
     }

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◆ TRIMMEAN()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::TRIMMEAN ( $args )

static

TRIMMEAN.

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)

1.18.0

See also: Statistical::trim() Use the trim() method in the Statistical class instead

Parameters

mixed $args Data values

Returns: float|string

Definition at line 1681 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Averages\Mean\trim().

     {
         return Statistical\Averages\Mean::trim(...$args);
     }

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◆ VARA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::VARA ( $args )

static

VARA.

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

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

1.17.0

See also: Statistical::VARA() Use the VARA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string (string if result is an error)

Definition at line 1725 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Variances\VARA().

     {
         return Variances::VARA(...$args);
     }

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◆ VARFunc()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::VARFunc ( $args )

static

VARFunc.

Estimates variance based on a sample.

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

1.17.0

See also: Statistical::VAR() Use the VAR() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string (string if result is an error)

Definition at line 1703 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Variances\VAR().

     {
         return Variances::VAR(...$args);
     }

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◆ VARP()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::VARP ( $args )

static

VARP.

Calculates variance based on the entire population

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

1.17.0

See also: Statistical::VARP() Use the VARP() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string (string if result is an error)

Definition at line 1747 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Variances\VARP().

     {
         return Variances::VARP(...$args);
     }

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◆ VARPA()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::VARPA ( $args )

static

VARPA.

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

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

1.17.0

See also: Statistical::VARPA() Use the VARPA() method in the Statistical class instead

Parameters

mixed ...$args Data values

Returns: float|string (string if result is an error)

Definition at line 1769 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Variances\VARPA().

     {
         return Variances::VARPA(...$args);
     }

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◆ WEIBULL()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::WEIBULL	(	$value,
		$alpha,
		$beta,
		$cumulative
	)

static

WEIBULL.

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

1.18.0

See also: Statistical::distribution() Use the distribution() method in the Statistical class instead

Parameters

float	$value
float	$alpha	Alpha Parameter
float	$beta	Beta Parameter
bool	$cumulative

Returns: float|string (string if result is an error)

Definition at line 1792 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\Weibull\distribution().

     {
         return Statistical\Distributions\Weibull::distribution($value, $alpha, $beta, $cumulative);
     }

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◆ ZTEST()

static PhpOffice\PhpSpreadsheet\Calculation\Statistical::ZTEST	(	$dataSet,
		$m0,
		$sigma = `null`
	)

static

ZTEST.

Returns the one-tailed P-value of a z-test.

For a given hypothesized population mean, x, Z.TEST returns the probability that the sample mean would be greater than the average of observations in the data set (array) — that is, the observed sample mean.

1.18.0

See also: Statistical::zTest() Use the zTest() method in the Statistical class instead

Parameters

float	$dataSet
float	$m0	Alpha Parameter
float	$sigma	Beta Parameter

Returns: float|string (string if result is an error)

Definition at line 1816 of file Statistical.php.

References PhpOffice\PhpSpreadsheet\Calculation\Statistical\Distributions\StandardNormal\zTest().

     {
         return Statistical\Distributions\StandardNormal::zTest($dataSet, $m0, $sigma);
     }

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Field Documentation

◆ EPS

const PhpOffice\PhpSpreadsheet\Calculation\Statistical::EPS = 2.22e-16

Definition at line 22 of file Statistical.php.

◆ LOG_GAMMA_X_MAX_VALUE

const PhpOffice\PhpSpreadsheet\Calculation\Statistical::LOG_GAMMA_X_MAX_VALUE = 2.55e305

Definition at line 21 of file Statistical.php.

◆ MAX_VALUE

const PhpOffice\PhpSpreadsheet\Calculation\Statistical::MAX_VALUE = 1.2e308

Definition at line 23 of file Statistical.php.

◆ SQRT2PI

const PhpOffice\PhpSpreadsheet\Calculation\Statistical::SQRT2PI = 2.5066282746310005024157652848110452530069867406099

Definition at line 24 of file Statistical.php.

The documentation for this class was generated from the following file:

libs/composer/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Calculation/Statistical.php

Static Public Member Functions

Data Fields

Detailed Description

Member Function Documentation

◆ AVEDEV()

◆ AVERAGE()

◆ AVERAGEA()

◆ AVERAGEIF()

◆ BETADIST()

◆ BETAINV()

◆ BINOMDIST()

◆ CHIDIST()

◆ CHIINV()

◆ CONFIDENCE()

◆ CORREL()

◆ COUNT()

◆ COUNTA()

◆ COUNTBLANK()

◆ COUNTIF()

◆ COUNTIFS()

◆ COVAR()

◆ CRITBINOM()

◆ DEVSQ()

◆ EXPONDIST()

◆ FDIST2()

◆ FISHER()

◆ FISHERINV()

◆ FORECAST()

◆ GAMMADIST()

◆ GAMMAFunction()

◆ GAMMAINV()

◆ GAMMALN()

◆ GAUSS()

◆ GEOMEAN()

◆ GROWTH()

◆ HARMEAN()

◆ HYPGEOMDIST()

◆ INTERCEPT()

◆ KURT()

◆ LARGE()

◆ LINEST()

◆ LOGEST()

◆ LOGINV()

◆ LOGNORMDIST()

◆ LOGNORMDIST2()

◆ MAX()

◆ MAXA()

◆ MAXIFS()

◆ MEDIAN()

◆ MIN()

◆ MINA()

◆ MINIFS()

◆ MODE()

◆ NEGBINOMDIST()

◆ NORMDIST()

◆ NORMINV()

◆ NORMSDIST()

◆ NORMSDIST2()

◆ NORMSINV()

◆ PERCENTILE()

◆ PERCENTRANK()

◆ PERMUT()

◆ POISSON()

◆ QUARTILE()

◆ RANK()

◆ RSQ()

◆ SKEW()

◆ SLOPE()

◆ SMALL()

◆ STANDARDIZE()

◆ STDEV()

◆ STDEVA()

◆ STDEVP()

◆ STDEVPA()

◆ STEYX()

◆ TDIST()

◆ TINV()

◆ TREND()

◆ TRIMMEAN()

◆ VARA()