statsjs
Provides functions for many of the statistical operations that you might need
Found 184 results for deviation
swstats
Sliding window statistics
@stdlib/stats-base-dists-binomial-variance
Binomial distribution variance.
@stdlib/stats-base-dists-lognormal-stdev
Lognormal distribution standard deviation.
@stdlib/stats-base-dists-binomial-stdev
Binomial distribution standard deviation.
@stdlib/stats-base-dists-uniform-variance
Uniform distribution variance.
@stdlib/stats-base-dists-uniform-stdev
Uniform distribution standard deviation.
node-stdev
Small utility for calculating standard deviation
@stdlib/stats-base-dists-weibull-stdev
Weibull distribution standard deviation.
@stdlib/stats-base-dists-exponential-stdev
Exponential distribution standard deviation.
node-red-contrib-combine
Node-RED Nodes that output combinations of consecutive incoming messages
@stdlib/stats-incr-mstdev
Compute a moving corrected sample standard deviation incrementally.
@stdlib/stats-base-dists-triangular-stdev
Triangular distribution standard deviation.
stats-collector
collect stats about numbers
@stdlib/stats-base-dists-f-stdev
F distribution standard deviation.
turf-deviation
turf deviation module
s-deviation
Math utility to calculate standard deviations.
@stdlib/stats-incr-rmse
Compute the root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mae
Compute the mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mse
Compute the mean squared error (MSE) incrementally.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mmeanvar
Compute a moving arithmetic mean and unbiased sample variance incrementally.
@stdlib/stats-incr-ewvariance
Compute an exponentially weighted variance incrementally.
@stdlib/stats-incr-mcv
Compute a moving coefficient of variation (CV) incrementally.
@stdlib/stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-ewstdev
Compute an exponentially weighted standard deviation incrementally.
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-me
Compute the mean error (ME) incrementally.
@stdlib/stats-incr-mpe
Compute the mean percentage error (MPE) incrementally.
@stdlib/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
@stdlib/stats-base-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
@stdlib/stats-incr-cv
Compute the coefficient of variation (CV) incrementally.
atlas-mad
Calculates the median absolute deviation of a set of data points in-place.
@stdlib/stats-base-dists-gamma-stdev
Gamma distribution standard deviation.
@stdlib/stats-base-dists-arcsine-variance
Arcsine distribution variance.
@stdlib/stats-base-dists-hypergeometric-stdev
Hypergeometric distribution standard deviation.
@stdlib/stats-base-dists-arcsine-stdev
Arcsine distribution standard deviation.
@stdlib/stats-base-dists-logistic-stdev
Logistic distribution standard deviation.
@stdlib/stats-base-dists-laplace-stdev
Laplace distribution standard deviation.
@stdlib/stats-base-snanvariancepn
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dists-chi-variance
Chi distribution variance.
@stdlib/stats-base-dists-frechet-stdev
Fréchet distribution standard deviation.
@stdlib/stats-base-dists-geometric-stdev
Geometric distribution standard deviation.
@stdlib/stats-base-dists-discrete-uniform-variance
Discrete uniform distribution variance.
@stdlib/stats-base-dists-chi-stdev
Chi distribution standard deviation.
@stdlib/stats-base-snanstdevpn
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dists-geometric-variance
Geometric distribution variance.
@stdlib/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dists-cosine-stdev
Raised cosine distribution standard deviation.
@stdlib/stats-base-dists-betaprime-variance
Beta prime distribution variance.
@stdlib/stats-base-dists-invgamma-stdev
Inverse gamma distribution standard deviation.
standarddeviation
A tiny node module to calculate Standard Deviation from a given array dataset
@stdlib/stats-base-dmeanstdev
Calculate the mean and standard deviation of a double-precision floating-point strided array.
@stdlib/stats-base-dists-pareto-type1-stdev
Pareto (Type I) distribution standard deviation.
@stdlib/stats-base-dists-levy-stdev
Lévy distribution standard deviation.
@stdlib/stats-base-dists-gumbel-stdev
Gumbel distribution standard deviation.
@stdlib/stats-base-dists-rayleigh-stdev
Rayleigh distribution standard deviation.
@stdlib/stats-base-dists-degenerate-stdev
Degenerate distribution standard deviation.
@stdlib/stats-base-nanvariancepn
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dists-betaprime-stdev
Beta prime distribution standard deviation.
@stdlib/stats-base-dists-erlang-stdev
Erlang distribution standard deviation.
@stdlib/stats-base-dists-kumaraswamy-stdev
Kumaraswamy's double bounded distribution standard deviation.
@stdlib/stats-base-dists-discrete-uniform-stdev
Discrete uniform distribution standard deviation.
@stdlib/stats-base-dists-degenerate-variance
Degenerate distribution variance.
@stdlib/stats-base-nanvariancewd
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-nanstdevwd
Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dists-bernoulli-variance
Bernoulli distribution variance.
@stdlib/stats-base-stdevch
Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dists-bernoulli-stdev
Bernoulli distribution standard deviation.
@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
@stdlib/stats-base-dvarmpn
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
@stdlib/stats-base-nanstdevpn
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-nanstdevch
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dvariancewd
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dnanstdevyc
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.
@stdlib/stats-base-dnanvarianceyc
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.
@stdlib/stats-base-snanstdevtk
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dvarm
Calculate the variance of a double-precision floating-point strided array provided a known mean.
@stdlib/stats-base-snanvariancetk
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-nanvarianceyc
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dsvariance
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
@stdlib/stats-base-variancetk
Calculate the variance of a strided array using a one-pass textbook algorithm.
@stdlib/stats-base-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
@stdlib/stats-base-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-snanstdevyc
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.
@stdlib/stats-base-dvariance
Calculate the variance of a double-precision floating-point strided array.
@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@itentialopensource/aggregate-functions-for-arrays
[Deprecated] Performs mathematical aggregations on an array of numbers
@stdlib/stats-base-sstdevyc
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
@stdlib/stats-base-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
@stdlib/stats-base-stdevtk
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanstdevwd
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-sstdevwd
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dsvariancepn
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.
@stdlib/stats-base-nanstdevtk
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
@stdlib/stats-base-nanstdev
Calculate the standard deviation of a strided array ignoring NaN values.
@stdlib/stats-base-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-snanstdev
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.
@stdlib/stats-base-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-snanvariance
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
node-red-contrib-gpu
Node-RED GPU functions
@stdlib/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
normal-pdf
Get gaussian density at a point
@stdlib/stats-base-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-svariance
Calculate the variance of a single-precision floating-point strided array.
@stdlib/stats-base-dstdev
Calculate the standard deviation of a double-precision floating-point strided array.
@stdlib/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dvarmtk
Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.
@stdlib/stats-base-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-sstdev
Calculate the standard deviation of a single-precision floating-point strided array.
@stdlib/stats-base-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-snanvariancewd
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-snanvarianceyc
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.
@stdlib/stats-base-dnanvariancech
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
grade-math
A bundle of commonly used math functions for grading applications, including Standard Deviation, Normal Y, Mean, and Z-Score.
@stdlib/stats-base-dmeanvar
Calculate the mean and variance of a double-precision floating-point strided array.
@stdlib/stats-base-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
deviationdetective
Have two geojson lines? Yes? Good! Use this tool to find differences between the two.
deviation
A DI System for React
stdev-js
A tiny node module to calculate Standard Deviation from a given array dataset
adoperaza7.java
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
adosinarath2.generator
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
inryeesprob
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
brymer4-dev-version
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
celynette8_calculate
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
nemalen4-algebra
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
eecress3-compute
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
ieemler7-balance
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.
sdeviate
standard deviation
nolehamdn1.weights
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
fmstats
Decriptive Statistics
ktirabassi7-oss
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
neioana2_derivatives
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
zzischuck8-measurement
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
lethur4.python
The beta Tea testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.