JSPM

Takes an array of numbers and calculates some descriptive statistics

A light statistical package that operates on numeric Arrays.

A BigInt can represent whole numbers larger than 2⁵³ - 1.

Calculate the variance of a strided array using a two-pass algorithm.

Chi-squared distribution variance.

Calculate the variance of a strided array.

Optimized 2d/3d/4d and arbitrary length vector operations, support for memory mapping/layouts

Calculate the standard deviation of a strided array.

Calculate the standard deviation of a strided array using a two-pass algorithm.

Poisson distribution variance.

In probability theory and statistics, variance measures how far a set of numbers is spread out. http://en.wikipedia.org/wiki/Variance

Negative binomial distribution variance.

Beta distribution variance.

Computes the sample standard deviation over an array of values.

Computes the covariance between one or more numeric arrays.

A collection of statistical methods including mean, mode, median, range, variance, standard deviation, sum and product

A simple tool for calculating incremental stats on numeric streams.

A simple tool for calculating incremental stats on numeric streams. Forked from https://github.com/brycebaril/stats-incremental

Student's t distribution variance.

Compute a corrected sample standard deviation incrementally.

Perform a one-way analysis of variance.

Computes Pearson product-moment correlation coefficients between one or more numeric arrays.

Statistical moments of ndarrays

Normal distribution variance.

Basic statistics functions

Node-RED added node functions.

Computes the variance.

Lognormal distribution variance.

Binomial distribution variance.

Provides a method to compute a sample standard deviation incrementally.

Provides a method to compute a sample variance incrementally.

Provides a method to compute a moving sample variance incrementally.

Provides a method to compute a moving sample standard deviation incrementally.

Computes a moving sample variance over a numeric array.

Computes a moving sample standard deviation over a numeric array.

Computes the sample variance over an array of values ignoring any values which are not numeric.

Online algorithms for data exploration and analysis (piece-by-piece)

Uniform distribution variance.

Exponential distribution variance.

Weibull distribution variance.

Styling Variance Decomposition Module - A styling implementation decomposition system that embraces variance in multi-dimensional design space.

Autocovariance (online algorithm)

Mathematics is the classification and study of all possible patterns.

Compute a moving corrected sample standard deviation incrementally.

Financial Technical Analysis in JavaScript

Triangular distribution variance.

collect stats about numbers

turf variance module

F distribution variance.

A BigInt can represent whole numbers larger than 2⁵³ - 1 {web}.

return the standard deviation of an array or numeric argument list

Simple statistics utility functions (mean, median, mode, etc.)

A number is a mathematical object used to count, measure, and label.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Compute a sample Pearson product-moment correlation coefficient.

Compute a squared sample Pearson product-moment correlation coefficient.

Perform the Brown-Forsythe statistical test for equality of group variances

Compute a sample absolute Pearson product-moment correlation coefficient.

Compute an unbiased sample covariance matrix incrementally.

Compute a minimum and maximum incrementally.

Compute a sample Pearson product-moment correlation matrix incrementally.

Compute a moving range incrementally.

Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.

Compute a moving unbiased sample variance incrementally.

Compute a moving arithmetic mean and corrected sample standard deviation incrementally.

Compute a moving sample Pearson product-moment correlation coefficient incrementally.

Levene's test for equal variances.

Compute a range incrementally.

Compute moving minimum and maximum absolute values incrementally.

Compute an exponentially weighted variance incrementally.

Compute a moving unbiased sample covariance incrementally.

Compute a moving arithmetic mean and unbiased sample variance incrementally.

Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

Compute an exponentially weighted standard deviation incrementally.

Compute an unbiased sample variance incrementally.

Compute a moving variance-to-mean ratio (VMR) incrementally.

Compute an unbiased sample covariance incrementally.

Compute a variance-to-mean ratio (VMR) incrementally.

Compute a moving coefficient of variation (CV) incrementally.

Compute a moving minimum and maximum incrementally.

Compute an arithmetic mean and unbiased sample variance incrementally.

Calculates the standard deviation of a set of data points.

Bartlett’s test for equal variances.

Calculate mean, standard deviation, sum for a set of data points.

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Compute the coefficient of variation (CV) incrementally.

A number is a mathematical object used to count, measure, and label {web}.

Mathematics is the classification and study of all possible patterns {web}.

Gamma distribution variance.

Arcsine distribution variance.

Calculate variance of data

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Chi distribution variance.

Discrete uniform distribution variance.

Laplace distribution variance.

Inverse gamma distribution variance.

Hypergeometric distribution variance.

Pareto (Type I) distribution variance.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Geometric distribution variance.

Logistic distribution variance.

Calculate the mean and standard deviation of a double-precision floating-point strided array.

Analysis of Variance (ANOVA)

Fréchet distribution variance.

Raised cosine distribution variance.

Gumbel distribution variance.

Kumaraswamy's double bounded distribution variance.

Beta prime distribution variance.

Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.

Rayleigh distribution variance.

Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Lévy distribution variance.

Erlang distribution variance.

Degenerate distribution variance.

Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.

Discrete uniform distribution standard deviation.

Bernoulli distribution variance.

Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a strided array using Welford's algorithm.

Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Compute the corrected sample standard deviation over all iterated values.

Calculate the variance of a double-precision floating-point strided array provided a known mean.

Utility functions for working with statistics.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Two-sample F-test for equal variances

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.

JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the standard deviation of a strided array using Welford's algorithm.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

[Deprecated] Performs mathematical aggregations on an array of numbers

Create an iterator which iteratively computes a cumulative range.

Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

Calculate the variance of a strided array using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values.

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array.

Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.

Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a strided array ignoring NaN values.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the standard deviation of a strided array ignoring NaN values.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values.

Node-RED GPU functions

Get gaussian density at a point

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Create an iterator which iteratively computes a moving range.

Calculate the variance of a single-precision floating-point strided array.

Calculate the standard deviation of a double-precision floating-point strided array.

Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.

Perform Levene's statistical test for equality of group variances

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.

online average, variance, covariance and correlation

Calculate the standard deviation of a single-precision floating-point strided array.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Fligner-Killeen test for equal variances.

Calculate the mean and variance of a double-precision floating-point strided array.

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.

To use basic statistics functions to calculation

Compute the unbiased sample variance over all iterated values.

Normalizes an ndarray to zero mean and unit variance

Reduce transform stream which calculates the covariance of streamed numeric data.

Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.

Compute the range of all iterated values.

average, standard deviation, variance, covariance and correlation of data sets

Helpful utility functions for basic statistical operations

Reduce transform stream which calculates the variance of streamed data.

Intelligent average of data set of numbers calculating variance and discarding the farthest values.

Poisson distribution variance.

Simple statistics utility functions (mean, median, mode, etc.)

Pass comma seprater array value for get standard deviation values

Javascript Allan Variance library

A small library of awesome statistical functions.

An average, variance, covariance and correlation calculator written in TypeScript

Decriptive Statistics

Variance