JSPM

A light statistical package that operates on numeric Arrays.

Chi-squared distribution variance.

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

Calculate the variance of a strided array.

Chi-squared distribution standard deviation.

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

Calculate the standard deviation of a strided array.

Poisson distribution variance.

Poisson distribution standard deviation.

Beta distribution standard deviation.

Beta distribution variance.

Negative binomial distribution standard deviation.

Student's t distribution standard deviation.

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

Engineering statistics and data analysis

Statistical moments of ndarrays

Normal distribution standard deviation.

Basic statistics functions

Provides functions for many of the statistical operations that you might need

Binomial distribution variance.

Sliding window statistics

Lognormal distribution standard deviation.

Binomial distribution standard deviation.

Uniform distribution variance.

Uniform distribution standard deviation.

Small utility for calculating standard deviation

Weibull distribution standard deviation.

Exponential distribution standard deviation.

Compute a moving corrected sample standard deviation incrementally.

Node-RED Nodes that output combinations of consecutive incoming messages

Triangular distribution standard deviation.

collect stats about numbers

F distribution standard deviation.

turf deviation module

Math utility to calculate standard deviations.

Compute the root mean squared error (RMSE) incrementally.

Compute the mean absolute percentage error (MAPE) incrementally.

Compute the mean squared error (MSE) incrementally.

Compute the mean absolute error (MAE) incrementally.

Compute a moving unbiased sample covariance incrementally.

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

Compute a moving unbiased sample variance incrementally.

Compute a moving mean squared error (MSE) incrementally.

Compute a moving root mean squared error (RMSE) incrementally.

Compute a moving arithmetic mean and unbiased sample variance incrementally.

Compute a moving coefficient of variation (CV) incrementally.

Compute an exponentially weighted variance incrementally.

Compute a moving residual sum of squares (RSS) incrementally.

Compute an exponentially weighted standard deviation incrementally.

Compute the residual sum of squares (RSS) incrementally.

Compute the mean percentage error (MPE) incrementally.

Compute the mean error (ME) incrementally.

Compute the mean arctangent absolute percentage error (MAAPE) incrementally.

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

Compute the coefficient of variation (CV) incrementally.

Gamma distribution standard deviation.

Calculates the median absolute deviation of a set of data points in-place.

Arcsine distribution variance.

Hypergeometric distribution standard deviation.

Arcsine distribution standard deviation.

Logistic distribution standard deviation.

Laplace distribution standard deviation.

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

Chi distribution variance.

Geometric distribution standard deviation.

Fréchet distribution standard deviation.

Chi distribution standard deviation.

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

Discrete uniform distribution variance.

Geometric distribution variance.

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

Raised cosine distribution standard deviation.

Beta prime distribution variance.

Inverse gamma distribution standard deviation.

A tiny node module to calculate Standard Deviation from a given array dataset

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

Pareto (Type I) distribution standard deviation.

Lévy distribution standard deviation.

Gumbel distribution standard deviation.

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

Rayleigh distribution standard deviation.

Degenerate distribution standard deviation.

Kumaraswamy's double bounded distribution standard deviation.

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

Beta prime distribution standard deviation.

Erlang distribution standard deviation.

Degenerate distribution variance.

Discrete uniform distribution standard deviation.

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

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

Bernoulli distribution variance.

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

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

Bernoulli distribution standard deviation.

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

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

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

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

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

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

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 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 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 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 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

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 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 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 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 single-precision floating-point strided array using a one-pass textbook 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 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 and using a one-pass textbook algorithm.

Calculate the variance of a strided array ignoring NaN values.

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

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

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

Node-RED GPU functions

Calculate the standard deviation 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 two-pass algorithm.

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.

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 variance 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 one-pass textbook algorithm.

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 provided a known mean and 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 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.

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.

A bundle of commonly used math functions for grading applications, including Standard Deviation, Normal Y, Mean, and Z-Score.

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.

Have two geojson lines? Yes? Good! Use this tool to find differences between the two.

A DI System for React

A tiny node module to calculate Standard Deviation from a given array dataset

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

standard deviation

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

Decriptive Statistics

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.