JSPM

Takes an array of numbers and calculates some descriptive statistics

A light statistical package that operates on numeric Arrays.

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

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

Calculate the variance of a strided array.

Chi-squared distribution variance.

Calculate the standard deviation of a strided array.

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

Negative binomial distribution variance.

Computes the sample standard deviation over an array of values.

Poisson distribution variance.

Basic statistics functions

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

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

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

Beta distribution variance.

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

Statistical moments of ndarrays

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

Normal distribution variance.

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

A simple tool for calculating incremental stats on numeric streams.

Autocovariance (online algorithm)

Compute a corrected sample standard deviation incrementally.

Lognormal distribution variance.

Exponential distribution variance.

Perform a one-way analysis of variance.

Computes the variance.

Binomial distribution variance.

Node-RED added node functions.

Weibull distribution variance.

Provides a method to compute a sample variance incrementally.

Provides a method to compute a sample standard deviation 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 standard deviation over a numeric array.

Student's t distribution variance.

Mathematics is the classification and study of all possible patterns.

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

Computes a moving sample variance over a numeric array.

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

Compute a moving corrected sample standard deviation incrementally.

collect stats about numbers

Financial Technical Analysis in JavaScript

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

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

Compute a sample Pearson product-moment correlation coefficient.

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

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

Compute a range incrementally.

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

Chi distribution variance.

Calculate the mean and 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 and using a two-pass algorithm.

Inverse gamma distribution variance.

Compute an unbiased sample variance incrementally.

Compute a moving range incrementally.

Hypergeometric distribution variance.

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

Kumaraswamy's double bounded distribution variance.

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

Pareto (Type I) distribution variance.

Compute a minimum and maximum incrementally.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

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

Logistic distribution variance.

Laplace distribution variance.

Gamma distribution variance.

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 trial mean algorithm.

Compute a moving unbiased sample variance incrementally.

Erlang distribution variance.

Triangular distribution variance.

Lévy distribution variance.

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 using a one-pass textbook algorithm.

Raised cosine distribution variance.

Arcsine distribution variance.

Bernoulli distribution variance.

Calculate variance of data

Beta prime distribution variance.

F distribution variance.

Degenerate distribution variance.

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

Geometric distribution variance.

Fréchet distribution variance.

Compute a moving minimum and maximum incrementally.

Gumbel distribution variance.

Discrete uniform distribution variance.

Calculate the variance of a double-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 a one-pass textbook algorithm.

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

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

Rayleigh distribution variance.

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

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

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

Uniform distribution variance.

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.

Compute moving minimum and maximum absolute values incrementally.

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

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

Discrete uniform distribution standard deviation.

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

Levene's test for equal variances.

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 ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

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

Compute a sample absolute Pearson product-moment correlation coefficient.

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

Compute a squared sample Pearson product-moment correlation coefficient.

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

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

Compute a moving coefficient of variation (CV) incrementally.

Compute a moving arithmetic mean and unbiased sample variance incrementally.

turf variance module

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 strided array using a one-pass trial mean algorithm.

Compute an exponentially weighted variance incrementally.

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

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

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

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 ignoring NaN values and 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 and using a two-pass algorithm.

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

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

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

Compute a moving unbiased sample covariance incrementally.

Compute an unbiased sample covariance incrementally.

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

Compute an arithmetic mean and unbiased sample variance incrementally.

Compute an exponentially weighted standard deviation incrementally.

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

Bartlett’s test for equal variances.

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

Compute the coefficient of variation (CV) incrementally.

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

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

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

Compute an unbiased sample covariance matrix incrementally.

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

Compute a sample Pearson product-moment correlation matrix incrementally.

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

Calculate the standard deviation of a single-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 one-pass textbook algorithm.

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

Create an iterator which iteratively computes a cumulative range.

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 standard deviation of a 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.

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

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

Fligner-Killeen test for equal variances.

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

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

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

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

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

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

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

Compute the unbiased sample variance over all iterated values.

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

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

Calculate the variance of a strided array ignoring NaN values.

Create an iterator which iteratively computes a moving range.

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

Two-sample F-test for equal variances

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

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

Compute the corrected sample standard deviation over all iterated values.

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

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 single-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 using Welford's algorithm.

Calculate the standard deviation 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 textbook algorithm.

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

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

Compute the range of all iterated values.

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

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 single-precision floating-point strided array.

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

Node-RED GPU functions

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.

online average, variance, covariance and correlation

Analysis of Variance (ANOVA)

Perform Levene's statistical test for equality of group variances

[Deprecated] Performs mathematical aggregations on an array of numbers

Calculates the standard deviation of a set of data points.

return the standard deviation of an array or numeric argument list

Reduce transform stream which calculates the variance of streamed data.

Javascript Allan Variance library

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

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

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

Normalizes an ndarray to zero mean and unit variance

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

Helpful utility functions for basic statistical operations

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

Get gaussian density at a point

Utility functions for working with statistics.

Pass comma seprater array value for get standard deviation values

Poisson distribution variance.

A small library of awesome statistical functions.

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

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

To use basic statistics functions to calculation

Decriptive Statistics

Variance