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Developer Documentation
- Bug fixes for general core bugs in 4.0.x will end 8 May 2023 (12 months).
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| File Size: | 1820 lines (57 kb) |
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Defines 1 class
Statistical:: (81 methods):
AVEDEV()
AVERAGE()
AVERAGEA()
AVERAGEIF()
BETADIST()
BETAINV()
BINOMDIST()
CHIDIST()
CHIINV()
CONFIDENCE()
CORREL()
COUNT()
COUNTA()
COUNTBLANK()
COUNTIF()
COUNTIFS()
COVAR()
CRITBINOM()
DEVSQ()
EXPONDIST()
FDIST2()
FISHER()
FISHERINV()
FORECAST()
GAMMAFunction()
GAMMADIST()
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()
VARFunc()
VARA()
VARP()
VARPA()
WEIBULL()
ZTEST()
Class: Statistical - X-Ref
| AVEDEV(...$args) X-Ref |
| AVEDEV. Returns the average of the absolute deviations of data points from their mean. AVEDEV is a measure of the variability in a data set. Excel Function: AVEDEV(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| AVERAGE(...$args) X-Ref |
| AVERAGE. Returns the average (arithmetic mean) of the arguments Excel Function: AVERAGE(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| AVERAGEA(...$args) X-Ref |
| AVERAGEA. Returns the average of its arguments, including numbers, text, and logical values Excel Function: AVERAGEA(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| AVERAGEIF($range, $condition, $averageRange = []) X-Ref |
| AVERAGEIF. Returns the average value from a range of cells that contain numbers within the list of arguments Excel Function: AVERAGEIF(value1[,value2[, ...]],condition) return: null|float|string param: mixed $range Data values param: string $condition the criteria that defines which cells will be checked param: mixed[] $averageRange Data values |
| BETADIST($value, $alpha, $beta, $rMin = 0, $rMax = 1) X-Ref |
| BETADIST. Returns the beta distribution. return: float|string param: float $value Value at which you want to evaluate the distribution param: float $alpha Parameter to the distribution param: float $beta Parameter to the distribution param: mixed $rMin param: mixed $rMax |
| BETAINV($probability, $alpha, $beta, $rMin = 0, $rMax = 1) X-Ref |
| BETAINV. Returns the inverse of the Beta distribution. return: float|string param: float $probability Probability at which you want to evaluate the distribution param: float $alpha Parameter to the distribution param: float $beta Parameter to the distribution param: float $rMin Minimum value param: float $rMax Maximum value |
| BINOMDIST($value, $trials, $probability, $cumulative) X-Ref |
| 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. return: float|string param: mixed $value Number of successes in trials param: mixed $trials Number of trials param: mixed $probability Probability of success on each trial param: mixed $cumulative |
| CHIDIST($value, $degrees) X-Ref |
| CHIDIST. Returns the one-tailed probability of the chi-squared distribution. return: float|string param: float $value Value for the function param: float $degrees degrees of freedom |
| CHIINV($probability, $degrees) X-Ref |
| CHIINV. Returns the one-tailed probability of the chi-squared distribution. return: float|string param: float $probability Probability for the function param: float $degrees degrees of freedom |
| CONFIDENCE($alpha, $stdDev, $size) X-Ref |
| CONFIDENCE. Returns the confidence interval for a population mean return: float|string param: float $alpha param: float $stdDev Standard Deviation param: float $size |
| CORREL($yValues, $xValues = null) X-Ref |
| CORREL. Returns covariance, the average of the products of deviations for each data point pair. return: float|string param: mixed $yValues array of mixed Data Series Y param: null|mixed $xValues array of mixed Data Series X |
| COUNT(...$args) X-Ref |
| COUNT. Counts the number of cells that contain numbers within the list of arguments Excel Function: COUNT(value1[,value2[, ...]]) return: int param: mixed ...$args Data values |
| COUNTA(...$args) X-Ref |
| COUNTA. Counts the number of cells that are not empty within the list of arguments Excel Function: COUNTA(value1[,value2[, ...]]) return: int param: mixed ...$args Data values |
| COUNTBLANK(...$args) X-Ref |
| COUNTBLANK. Counts the number of empty cells within the list of arguments Excel Function: COUNTBLANK(value1[,value2[, ...]]) return: int param: mixed ...$args Data values |
| COUNTIF($range, $condition) X-Ref |
| COUNTIF. Counts the number of cells that contain numbers within the list of arguments Excel Function: COUNTIF(range,condition) return: int param: mixed $range Data values param: string $condition the criteria that defines which cells will be counted |
| COUNTIFS(...$args) X-Ref |
| COUNTIFS. Counts the number of cells that contain numbers within the list of arguments Excel Function: COUNTIFS(criteria_range1, criteria1, [criteria_range2, criteria2]…) return: int param: mixed $args Pairs of Ranges and Criteria |
| COVAR($yValues, $xValues) X-Ref |
| COVAR. Returns covariance, the average of the products of deviations for each data point pair. return: float|string param: mixed $yValues array of mixed Data Series Y param: mixed $xValues array of mixed Data Series X |
| CRITBINOM($trials, $probability, $alpha) X-Ref |
| 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 return: int|string param: float $trials number of Bernoulli trials param: float $probability probability of a success on each trial param: float $alpha criterion value |
| DEVSQ(...$args) X-Ref |
| DEVSQ. Returns the sum of squares of deviations of data points from their sample mean. Excel Function: DEVSQ(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| EXPONDIST($value, $lambda, $cumulative) X-Ref |
| 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. return: float|string param: float $value Value of the function param: float $lambda The parameter value param: bool $cumulative |
| FDIST2($value, $u, $v, $cumulative) X-Ref |
| 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. return: float|string param: float $value Value of the function param: int $u The numerator degrees of freedom param: int $v The denominator degrees of freedom param: bool $cumulative If cumulative is TRUE, F.DIST returns the cumulative distribution function; |
| FISHER($value) X-Ref |
| 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. return: float|string param: float $value |
| FISHERINV($value) X-Ref |
| 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. return: float|string param: float $value |
| FORECAST($xValue, $yValues, $xValues) X-Ref |
| FORECAST. Calculates, or predicts, a future value by using existing values. The predicted value is a y-value for a given x-value. return: bool|float|string param: float $xValue Value of X for which we want to find Y param: mixed $yValues array of mixed Data Series Y param: mixed $xValues of mixed Data Series X |
| GAMMAFunction($value) X-Ref |
| GAMMA. Returns the gamma function value. return: float|string The result, or a string containing an error param: float $value |
| GAMMADIST($value, $a, $b, $cumulative) X-Ref |
| GAMMADIST. Returns the gamma distribution. return: float|string param: float $value Value at which you want to evaluate the distribution param: float $a Parameter to the distribution param: float $b Parameter to the distribution param: bool $cumulative |
| GAMMAINV($probability, $alpha, $beta) X-Ref |
| GAMMAINV. Returns the inverse of the Gamma distribution. return: float|string param: float $probability Probability at which you want to evaluate the distribution param: float $alpha Parameter to the distribution param: float $beta Parameter to the distribution |
| GAMMALN($value) X-Ref |
| GAMMALN. Returns the natural logarithm of the gamma function. return: float|string param: float $value |
| GAUSS($value) X-Ref |
| GAUSS. Calculates the probability that a member of a standard normal population will fall between the mean and z standard deviations from the mean. return: float|string The result, or a string containing an error param: float $value |
| GEOMEAN(...$args) X-Ref |
| 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[, ...]]) return: float|string param: mixed ...$args Data values |
| GROWTH($yValues, $xValues = [], $newValues = [], $const = true) X-Ref |
| GROWTH. Returns values along a predicted exponential Trend return: float[] param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X param: mixed[] $newValues Values of X for which we want to find Y param: bool $const a logical value specifying whether to force the intersect to equal 0 |
| HARMEAN(...$args) X-Ref |
| 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[, ...]]) return: float|string param: mixed ...$args Data values |
| HYPGEOMDIST($sampleSuccesses, $sampleNumber, $populationSuccesses, $populationNumber) X-Ref |
| 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. return: float|string param: mixed $sampleSuccesses Number of successes in the sample param: mixed $sampleNumber Size of the sample param: mixed $populationSuccesses Number of successes in the population param: mixed $populationNumber Population size |
| INTERCEPT($yValues, $xValues) X-Ref |
| INTERCEPT. Calculates the point at which a line will intersect the y-axis by using existing x-values and y-values. return: float|string param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| KURT(...$args) X-Ref |
| 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. return: float|string param: array ...$args Data Series |
| LARGE(...$args) X-Ref |
| 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) return: float|string The result, or a string containing an error param: mixed $args Data values |
| LINEST($yValues, $xValues = null, $const = true, $stats = false) X-Ref |
| 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. return: array|int|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: null|mixed[] $xValues Data Series X param: bool $const a logical value specifying whether to force the intersect to equal 0 param: bool $stats a logical value specifying whether to return additional regression statistics |
| LOGEST($yValues, $xValues = null, $const = true, $stats = false) X-Ref |
| LOGEST. Calculates an exponential curve that best fits the X and Y data series, and then returns an array that describes the line. return: array|int|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: null|mixed[] $xValues Data Series X param: bool $const a logical value specifying whether to force the intersect to equal 0 param: bool $stats a logical value specifying whether to return additional regression statistics |
| LOGINV($probability, $mean, $stdDev) X-Ref |
| LOGINV. Returns the inverse of the normal cumulative distribution return: float|string The result, or a string containing an error param: float $probability param: float $mean param: float $stdDev |
| LOGNORMDIST($value, $mean, $stdDev) X-Ref |
| LOGNORMDIST. Returns the cumulative lognormal distribution of x, where ln(x) is normally distributed with parameters mean and standard_dev. return: float|string The result, or a string containing an error param: float $value param: float $mean param: float $stdDev |
| LOGNORMDIST2($value, $mean, $stdDev, $cumulative = false) X-Ref |
| LOGNORM.DIST. Returns the lognormal distribution of x, where ln(x) is normally distributed with parameters mean and standard_dev. return: float|string The result, or a string containing an error param: float $value param: float $mean param: float $stdDev param: bool $cumulative |
| MAX(...$args) X-Ref |
| 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[, ...]]) return: float param: mixed ...$args Data values |
| MAXA(...$args) X-Ref |
| MAXA. Returns the greatest value in a list of arguments, including numbers, text, and logical values Excel Function: maxA(value1[,value2[, ...]]) return: float param: mixed ...$args Data values |
| MAXIFS(...$args) X-Ref |
| 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], ...) return: float param: mixed $args Data range and criterias |
| MEDIAN(...$args) X-Ref |
| 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[, ...]]) return: float|string The result, or a string containing an error param: mixed ...$args Data values |
| MIN(...$args) X-Ref |
| 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[, ...]]) return: float param: mixed ...$args Data values |
| MINA(...$args) X-Ref |
| MINA. Returns the smallest value in a list of arguments, including numbers, text, and logical values Excel Function: MINA(value1[,value2[, ...]]) return: float param: mixed ...$args Data values |
| MINIFS(...$args) X-Ref |
| 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], ...) return: float param: mixed $args Data range and criterias |
| MODE(...$args) X-Ref |
| MODE. Returns the most frequently occurring, or repetitive, value in an array or range of data Excel Function: MODE(value1[,value2[, ...]]) return: float|string The result, or a string containing an error param: mixed ...$args Data values |
| NEGBINOMDIST($failures, $successes, $probability) X-Ref |
| 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. return: float|string The result, or a string containing an error param: mixed $failures Number of Failures param: mixed $successes Threshold number of Successes param: mixed $probability Probability of success on each trial |
| NORMDIST($value, $mean, $stdDev, $cumulative) X-Ref |
| 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. return: float|string The result, or a string containing an error param: mixed $value param: mixed $mean Mean Value param: mixed $stdDev Standard Deviation param: mixed $cumulative |
| NORMINV($probability, $mean, $stdDev) X-Ref |
| NORMINV. Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation. return: float|string The result, or a string containing an error param: mixed $probability param: mixed $mean Mean Value param: mixed $stdDev Standard Deviation |
| NORMSDIST($value) X-Ref |
| 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. return: float|string The result, or a string containing an error param: mixed $value |
| NORMSDIST2($value, $cumulative) X-Ref |
| 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. return: float|string The result, or a string containing an error param: mixed $value param: mixed $cumulative |
| NORMSINV($value) X-Ref |
| NORMSINV. Returns the inverse of the standard normal cumulative distribution return: float|string The result, or a string containing an error param: mixed $value |
| PERCENTILE(...$args) X-Ref |
| PERCENTILE. Returns the nth percentile of values in a range.. Excel Function: PERCENTILE(value1[,value2[, ...]],entry) return: float|string The result, or a string containing an error param: mixed $args Data values |
| PERCENTRANK($valueSet, $value, $significance = 3) X-Ref |
| 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 return: float|string (string if result is an error) param: mixed $valueSet An array of, or a reference to, a list of numbers param: mixed $value the number whose rank you want to find param: mixed $significance the number of significant digits for the returned percentage value |
| PERMUT($numObjs, $numInSet) X-Ref |
| 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. return: float|int|string Number of permutations, or a string containing an error param: int $numObjs Number of different objects param: int $numInSet Number of objects in each permutation |
| POISSON($value, $mean, $cumulative) X-Ref |
| 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. return: float|string The result, or a string containing an error param: mixed $value param: mixed $mean Mean Value param: mixed $cumulative |
| QUARTILE(...$args) X-Ref |
| QUARTILE. Returns the quartile of a data set. Excel Function: QUARTILE(value1[,value2[, ...]],entry) return: float|string The result, or a string containing an error param: mixed $args Data values |
| RANK($value, $valueSet, $order = 0) X-Ref |
| RANK. Returns the rank of a number in a list of numbers. return: float|string The result, or a string containing an error param: mixed $value the number whose rank you want to find param: mixed $valueSet An array of, or a reference to, a list of numbers param: mixed $order Order to sort the values in the value set |
| RSQ($yValues, $xValues) X-Ref |
| RSQ. Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's. return: float|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| SKEW(...$args) X-Ref |
| 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. return: float|string The result, or a string containing an error param: array ...$args Data Series |
| SLOPE($yValues, $xValues) X-Ref |
| SLOPE. Returns the slope of the linear regression line through data points in known_y's and known_x's. return: float|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| SMALL(...$args) X-Ref |
| 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) return: float|string The result, or a string containing an error param: mixed $args Data values |
| STANDARDIZE($value, $mean, $stdDev) X-Ref |
| STANDARDIZE. Returns a normalized value from a distribution characterized by mean and standard_dev. return: float|string Standardized value, or a string containing an error param: float $value Value to normalize param: float $mean Mean Value param: float $stdDev Standard Deviation |
| STDEV(...$args) X-Ref |
| 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[, ...]]) return: float|string The result, or a string containing an error param: mixed ...$args Data values |
| STDEVA(...$args) X-Ref |
| STDEVA. Estimates standard deviation based on a sample, including numbers, text, and logical values Excel Function: STDEVA(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| STDEVP(...$args) X-Ref |
| STDEVP. Calculates standard deviation based on the entire population Excel Function: STDEVP(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| STDEVPA(...$args) X-Ref |
| STDEVPA. Calculates standard deviation based on the entire population, including numbers, text, and logical values Excel Function: STDEVPA(value1[,value2[, ...]]) return: float|string param: mixed ...$args Data values |
| STEYX($yValues, $xValues) X-Ref |
| STEYX. return: float|string param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| TDIST($value, $degrees, $tails) X-Ref |
| TDIST. Returns the probability of Student's T distribution. return: float|string The result, or a string containing an error param: float $value Value for the function param: float $degrees degrees of freedom param: float $tails number of tails (1 or 2) |
| TINV($probability, $degrees) X-Ref |
| TINV. Returns the one-tailed probability of the Student-T distribution. return: float|string The result, or a string containing an error param: float $probability Probability for the function param: float $degrees degrees of freedom |
| TREND($yValues, $xValues = [], $newValues = [], $const = true) X-Ref |
| TREND. Returns values along a linear Trend return: float[] param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X param: mixed[] $newValues Values of X for which we want to find Y param: bool $const a logical value specifying whether to force the intersect to equal 0 |
| TRIMMEAN(...$args) X-Ref |
| 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) return: float|string param: mixed $args Data values |
| VARFunc(...$args) X-Ref |
| VARFunc. Estimates variance based on a sample. Excel Function: VAR(value1[,value2[, ...]]) return: float|string (string if result is an error) param: mixed ...$args Data values |
| VARA(...$args) X-Ref |
| VARA. Estimates variance based on a sample, including numbers, text, and logical values Excel Function: VARA(value1[,value2[, ...]]) return: float|string (string if result is an error) param: mixed ...$args Data values |
| VARP(...$args) X-Ref |
| VARP. Calculates variance based on the entire population Excel Function: VARP(value1[,value2[, ...]]) return: float|string (string if result is an error) param: mixed ...$args Data values |
| VARPA(...$args) X-Ref |
| VARPA. Calculates variance based on the entire population, including numbers, text, and logical values Excel Function: VARPA(value1[,value2[, ...]]) return: float|string (string if result is an error) param: mixed ...$args Data values |
| WEIBULL($value, $alpha, $beta, $cumulative) X-Ref |
| WEIBULL. Returns the Weibull distribution. Use this distribution in reliability analysis, such as calculating a device's mean time to failure. return: float|string (string if result is an error) param: float $value param: float $alpha Alpha Parameter param: float $beta Beta Parameter param: bool $cumulative |
| ZTEST($dataSet, $m0, $sigma = null) X-Ref |
| 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. return: float|string (string if result is an error) param: float $dataSet param: float $m0 Alpha Parameter param: float $sigma Beta Parameter |
