References

Class Summary

Static Public Class Summary
public	Bernoulli The Bernoulli Distribution is a discrete probability distribution with parameter p = probability of success.
public	Binomial The Binomial Distribution is a discrete probability distribution with parameters n = number of trials and p = probability of success.
public	Cauchy The Cauchy Distribution is a continuous probability distribution with parameters a = location and b = scale.
public	ChiSquared The Chi-Squared Distribution is a continuous probability distribution with parameters df = degrees of freedom.
public	Exponential The Exponential Distribution is a continuous probability distribution with parameters mu = rate.
public	Gamma The Gamma Distribution is a continuous probability distribution with parameters a = shape and b = rate.
public	Normal The Normal Distribution is a continuous probability distribution with parameters mu = mean and sigma = standard deviation.
public	Sample The sample class is the base for all of our sample based calculations.
public	StudentsT The Student's t-Distribution is a continuous probability distribution with parameters df = degrees of freedom*. See: Student's t-Distribution

Interface Summary

Static Public Interface Summary
public	Distribution An abstract Distribution class.

Function Summary

Static Public Function Summary
public	choose(n: number, k: number): number Choose k elements from a set of n elements.
public	error(x: number): number A useful function.
public	factorial(n: number): number n! is the product of all positive integers less than or equal to n.
public	gamma(n: number): number The gamma function is a useful general function.
public	gammainc_lower(s: number, z: number): number The regularized lower incomplete gamma function See
public	lngamma(z: number): number The log-gamma function is a useful general function.
public	mean(x: Array<number>): number Averages a list of elements.
public	median(x: Array<number>): number Finds the central most value for a list of numbers.
public	mode(x: Array<number>): number Finds the most frequent values of a list of numbers.
public	percentile(x: Array<number>, p: number): number Finds the element of a list of numbers at a certain percentile ordered smallest to largest.
public	quantile(x: Array<number>, quantiles: Array<number>): number Finds the nth largest element of a list of numbers.
public	range(x: Array<number>): number Finds the difference between the largest and smallest values.
public	select(x: Array<number>, k: number, begin: number, end: number): number Efficiently finds the kth largest element in a array.
public	std(x: Array<number>): number A measure that is used to quantify the amount of variation of a set of data values.
public	stirling(n: number): number Efficiently appoximates ln(n!).
public	sum(x: Array<number>): number Adds a list of elements together.
public	sumNthPowerDev(x: Array<number>, n: number, absolute: boolean): number A really useful function.
public	ttest(sample: Sample, other: Sample, x: number): number Computes Student's T-Test for the provided samples. If only one sample is provided, a one-sample t-test is computed on the sample mean vs x. If two samples are provided, a two-sample t-test is computed on the difference between the sample means and x. See: Student's T-Test
public	variance(x: Array<number>): number A measure that is used to quantify the amount of variation of a set of data values from their mean value.
public	zscore(x: number, mu: number, std: number): number The signed number of deviations an observed value is above the mean.