Found 184 results for deviation

@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-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-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-dvariancetk

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

@stdlib/stats-base-dvariance

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

@itentialopensource/aggregate-functions-for-arrays

[Deprecated] Performs mathematical aggregations on an array of numbers

@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-dvariancech

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

@stdlib/stats-base-dnanstdev

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

@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-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-sstdev

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

@stdlib/stats-base-snanstdev

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

@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-sstdevtk

Calculate the standard deviation 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-nanvariance

Calculate the variance of a strided array ignoring NaN values.

@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-nanvariancetk

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

@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-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-dvariancepn

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

@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-nanstdev

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

@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-svariancepn

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

@stdlib/stats-base-dstdev

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

@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-svariancetk

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

@stdlib/stats-base-svariancech

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

@stdlib/stats-base-dstdevwd

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

@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-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.

normal-pdf

Get gaussian density at a point

grade-math

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

@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-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-dnanvariancech

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

deviation

A DI System for React

deviationdetective

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

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.

ieemler7-balance

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.

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.