stats-lite
A light statistical package that operates on numeric Arrays.
Found 184 results for deviation
A light statistical package that operates on numeric Arrays.
Calculate the variance of a strided array using a two-pass algorithm.
Chi-squared distribution standard deviation.
Chi-squared distribution variance.
Calculate the variance of a strided array.
Poisson distribution standard deviation.
Poisson distribution variance.
Calculate the standard deviation of a strided array using a two-pass algorithm.
Negative binomial distribution standard deviation.
Calculate the standard deviation of a strided array.
A simple tool for calculating incremental stats on numeric streams. Forked from https://github.com/brycebaril/stats-incremental
Beta distribution variance.
Beta distribution standard deviation.
Engineering statistics and data analysis
A collection of statistical methods including mean, mode, median, range, variance, standard deviation, sum and product
Sliding window statistics
A simple tool for calculating incremental stats on numeric streams.
Student's t distribution standard deviation.
Uniform distribution variance.
Normal distribution standard deviation.
Uniform distribution standard deviation.
Binomial distribution variance.
Binomial distribution standard deviation.
Statistical moments of ndarrays
Triangular distribution standard deviation.
Weibull distribution standard deviation.
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the mean and standard deviation of a double-precision floating-point strided array.
Lognormal distribution standard deviation.
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
Basic statistics functions
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 two-pass 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 double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Rayleigh distribution standard deviation.
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.
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the mean and variance of a double-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 Neely's correction 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 double-precision floating-point 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 algorithm proposed by Youngs and Cramer.
Calculate the mean and variance of a double-precision floating-point strided array.
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a double-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.
Calculate the variance of a double-precision floating-point strided array using Welford's 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 variance of a double-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 a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard deviation of a double-precision floating-point strided array.
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 double-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 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 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 a one-pass trial mean 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 Welford's algorithm.
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
Exponential distribution standard deviation.
Calculate the standard deviation of a strided array ignoring NaN values.
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
Calculate the variance of a strided array ignoring NaN values.
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Provides functions for many of the statistical operations that you might need
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.
Node-RED Nodes that output combinations of consecutive incoming messages
collect stats about numbers
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
F distribution standard deviation.
Math utility to calculate standard deviations.
turf deviation module
Compute a moving corrected sample standard deviation 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 ignoring NaN values and using a two-pass algorithm.
Calculate the variance of a single-precision floating-point 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 trial mean algorithm.
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Hypergeometric distribution standard deviation.
Calculate the variance of a 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 two-pass algorithm.
Calculate the standard deviation of a single-precision floating-point strided array.
Kumaraswamy's double bounded distribution standard deviation.
Calculate the variance of a single-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 using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Erlang distribution standard deviation.
Compute the mean squared error (MSE) incrementally.
Fréchet distribution standard deviation.
Gamma distribution standard deviation.
Calculate the standard deviation of a strided array using Welford's algorithm.
Geometric distribution standard deviation.
Compute a moving coefficient of variation (CV) incrementally.
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
Arcsine distribution standard deviation.
Calculate the variance of a strided array using a one-pass trial mean algorithm.
Chi distribution standard deviation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Calculate the variance of a strided array using Welford's algorithm.
Logistic distribution standard deviation.
Compute the mean absolute error (MAE) incrementally.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Arcsine distribution variance.
Compute an exponentially weighted standard deviation incrementally.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
Geometric distribution variance.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Compute the mean absolute percentage error (MAPE) incrementally.
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.
Small utility for calculating standard deviation
Compute a moving unbiased sample variance incrementally.
Bernoulli distribution variance.
Degenerate distribution standard deviation.
Chi distribution variance.
Compute the coefficient of variation (CV) incrementally.
Calculate the standard deviation of a 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 algorithm proposed by Youngs and Cramer.
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 trial mean algorithm.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Beta prime distribution variance.
Degenerate distribution variance.
Discrete uniform distribution standard deviation.
Laplace distribution standard deviation.
Compute an exponentially weighted variance incrementally.
Inverse gamma distribution standard deviation.
Compute the mean percentage error (MPE) incrementally.
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
Pareto (Type I) distribution standard deviation.
Raised cosine distribution standard deviation.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Beta prime distribution standard deviation.
Discrete uniform distribution variance.
Bernoulli distribution standard deviation.
Gumbel distribution standard deviation.
Compute a moving unbiased sample covariance incrementally.
Compute the root mean squared error (RMSE) incrementally.
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 ignoring NaN values and using a one-pass textbook algorithm.
Calculate the variance of a strided array 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.
Compute the mean error (ME) incrementally.
Compute a moving mean squared error (MSE) incrementally.
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
Lévy distribution standard deviation.
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 using a one-pass trial mean algorithm.
Compute a moving arithmetic mean and unbiased sample variance incrementally.
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
Compute a moving root mean squared error (RMSE) incrementally.
Compute the residual sum of squares (RSS) incrementally.
Compute a moving residual sum of squares (RSS) incrementally.
Calculate the variance of a strided array using a one-pass textbook algorithm.
Calculates the median absolute deviation of a set of data points in-place.
A DI System for React
[Deprecated] Performs mathematical aggregations on an array of numbers
Node-RED GPU functions
Get gaussian density at a point
A bundle of commonly used math functions for grading applications, including Standard Deviation, Normal Y, Mean, and Z-Score.
Have two geojson lines? Yes? Good! Use this tool to find differences between the two.
A tiny node module to calculate Standard Deviation from a given array dataset
standard deviation
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.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
Decriptive Statistics
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
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.
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
A tiny node module to calculate Standard Deviation from a given array dataset
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.
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.