JSPM

Found 218 results for variance

@stdlib/stats-incr-mapcorr

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

  • v0.2.2
  • 22.21
  • Published

@stdlib/stats-incr-mpcorr

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

  • v0.2.2
  • 22.13
  • Published

@stdlib/stats-incr-mpcorr2

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

  • v0.2.2
  • 21.70
  • Published

@stdlib/stats-incr-mcv

Compute a moving coefficient of variation (CV) incrementally.

  • v0.2.2
  • 21.36
  • Published

atlas-stddev

Calculates the standard deviation of a set of data points.

  • v1.0.0
  • 20.90
  • Published

atlas-dataset

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

  • v1.0.3
  • 20.58
  • Published

extra-number.web

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

  • v2.5.3
  • 19.72
  • Published

extra-math.web

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

  • v1.5.2
  • 19.25
  • Published

@stdlib/stats-base-snanvariancepn

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

  • v0.2.2
  • 17.77
  • Published

@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.

  • v0.2.2
  • 16.46
  • Published

@stdlib/stats-base-dmeanvarpn

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

  • v0.2.2
  • 16.46
  • Published

@stdlib/stats-base-dmeanstdev

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

  • v0.2.2
  • 16.07
  • Published

anova

Analysis of Variance (ANOVA)

  • v1.0.2
  • 16.06
  • Published

@stdlib/stats-base-dmeanstdevpn

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

  • v0.2.2
  • 15.45
  • Published

@stdlib/stats-base-nanstdevwd

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

  • v0.2.2
  • 14.92
  • Published

@stdlib/stats-base-stdevch

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

  • v0.2.2
  • 14.79
  • Published

@stdlib/stats-base-varianceyc

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

  • v0.2.2
  • 14.53
  • Published

@stdlib/stats-base-nanstdevpn

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

  • v0.2.2
  • 14.04
  • Published

@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.

  • v0.2.2
  • 13.57
  • Published

@stdlib/stats-base-svariancewd

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

  • v0.2.2
  • 13.33
  • Published

@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.

  • v0.2.2
  • 13.09
  • Published

@stdlib/stats-base-nanstdevch

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

  • v0.2.2
  • 13.09
  • Published

@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.

  • v0.2.2
  • 12.64
  • Published

@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.

  • v0.2.2
  • 12.64
  • Published

@stdlib/stats-iter-stdev

Compute the corrected sample standard deviation over all iterated values.

  • v0.2.2
  • 12.60
  • Published

@stdlib/stats-base-dvarm

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

  • v0.2.2
  • 12.53
  • Published

@stdlib/stats-base-dvariancewd

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

  • v0.2.2
  • 12.44
  • Published

statquo

Utility functions for working with statistics.

  • v1.0.2
  • 12.43
  • Published

@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.

  • v0.2.2
  • 12.43
  • Published

@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.

  • v0.2.2
  • 12.31
  • Published

@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.

  • v0.2.2
  • 12.20
  • Published

@stdlib/stats-base-dnanstdevwd

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

  • v0.2.2
  • 12.20
  • Published

@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.

  • v0.2.2
  • 12.20
  • Published

@stdlib/stats-base-dstdevch

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

  • v0.2.2
  • 12.09
  • Published

yagnus

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.

  • v0.0.17
  • 12.04
  • Published

@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.

  • v0.2.2
  • 12.04
  • Published

@stdlib/stats-base-stdevwd

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

  • v0.2.2
  • 11.83
  • Published

@stdlib/stats-base-dnanvariancepn

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

  • v0.2.2
  • 11.80
  • Published

@stdlib/stats-base-dsvariance

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

  • v0.2.2
  • 11.71
  • Published

@stdlib/stats-base-dvariancech

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

  • v0.2.2
  • 11.67
  • Published

@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.

  • v0.2.2
  • 11.55
  • Published

@stdlib/stats-base-nanvariancech

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

  • v0.2.2
  • 11.40
  • Published

@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.

  • v0.2.2
  • 11.40
  • Published

@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.

  • v0.2.2
  • 11.40
  • Published

@stdlib/stats-base-sstdevwd

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

  • v0.2.2
  • 11.40
  • Published

@stdlib/stats-base-dstdevpn

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

  • v0.2.2
  • 11.40
  • Published

@stdlib/stats-base-dnanstdev

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

  • v0.2.2
  • 11.34
  • Published

@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.

  • v0.2.2
  • 11.19
  • Published

@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.

  • v0.2.2
  • 11.16
  • Published

@stdlib/stats-base-stdevtk

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

  • v0.2.2
  • 11.01
  • Published

@stdlib/stats-base-dvariancetk

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

  • v0.2.2
  • 11.01
  • Published

@stdlib/stats-base-snanstdevwd

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

  • v0.2.2
  • 11.01
  • Published

@stdlib/stats-base-sstdevtk

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

  • v0.2.2
  • 10.88
  • Published

@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.

  • v0.2.2
  • 10.84
  • Published

@stdlib/stats-base-sstdevch

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

  • v0.2.2
  • 10.73
  • Published

@stdlib/stats-base-nanstdevtk

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

  • v0.2.2
  • 10.59
  • Published

@stdlib/stats-base-snanstdev

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

  • v0.2.2
  • 10.52
  • Published

@stdlib/stats-base-nanvariancetk

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

  • v0.2.2
  • 10.52
  • Published

@stdlib/stats-base-dvariancepn

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

  • v0.2.2
  • 10.49
  • Published

normal-pdf

Get gaussian density at a point

  • v1.0.1
  • 10.31
  • Published

@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.

  • v0.2.2
  • 10.31
  • Published

@stdlib/stats-base-dstdev

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

  • v0.2.2
  • 10.27
  • Published

@stdlib/stats-base-sstdevpn

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

  • v0.2.2
  • 10.14
  • Published

@stdlib/stats-base-svariancepn

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

  • v0.2.2
  • 10.01
  • Published

@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.

  • v0.2.2
  • 9.98
  • Published

levene-test

Perform Levene's statistical test for equality of group variances

  • v1.0.2
  • 9.91
  • Published

@stdlib/stats-base-svariancetk

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

  • v0.2.2
  • 9.87
  • Published

@stdlib/stats-base-stdevyc

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

  • v0.2.2
  • 9.81
  • Published

@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.

  • v0.2.2
  • 9.64
  • Published

@stdlib/stats-base-dnanvariancewd

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

  • v0.2.2
  • 9.45
  • Published

@stdlib/stats-base-dstdevwd

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

  • v0.2.2
  • 9.42
  • Published

lazy-stats

online average, variance, covariance and correlation

  • v4.3.0
  • 9.36
  • Published

@stdlib/stats-base-sstdev

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

  • v0.2.2
  • 9.26
  • Published

@stdlib/stats-base-dstdevtk

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

  • v0.2.2
  • 9.23
  • Published

@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.

  • v0.2.2
  • 9.23
  • Published

@stdlib/stats-base-snanvariancewd

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

  • v0.2.2
  • 8.74
  • Published

@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.

  • v0.2.2
  • 8.71
  • Published

@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.

  • v0.2.2
  • 8.62
  • Published

@stdlib/stats-base-dmeanvar

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

  • v0.2.2
  • 8.14
  • Published

@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.

  • v0.2.2
  • 8.14
  • Published

@stdlib/stats-base-svariancech

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

  • v0.2.2
  • 8.14
  • Published

cal-sum-avg-mode-medium-range-and-more

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

  • v1.0.5
  • 7.59
  • Published

rj-basic-stats

To use basic statistics functions to calculation

    • v1.2.0
    • 6.45
    • Published

    ndarray-normalize

    Normalizes an ndarray to zero mean and unit variance

    • v1.0.0
    • 6.39
    • Published

    flow-covariance

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

    • v0.0.4
    • 6.36
    • Published

    flow-pcc

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

    • v0.0.3
    • 6.32
    • Published

    @hugov/stats

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

    • v0.0.1
    • 5.27
    • Published

    ts-stats

    Helpful utility functions for basic statistical operations

    • v1.0.4
    • 4.07
    • Published

    flow-variance

    Reduce transform stream which calculates the variance of streamed data.

    • v0.0.4
    • 4.03
    • Published

    smartaverage

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

    • v0.0.2
    • 4.03
    • Published

    stat-kit-mjs

    Simple statistics utility functions (mean, median, mode, etc.)

    • v1.0.0
    • 3.92
    • Published

    allan

    Javascript Allan Variance library

    • v0.1.0-beta.8
    • 0.00
    • Published

    awesome-statistics

    A small library of awesome statistical functions.

    • v0.2.0
    • 0.00
    • Published

    statsbase

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

      • v1.0.3
      • 0.00
      • Published

      fmstats

      Decriptive Statistics

        • v1.0.0
        • 0.00
        • Published

        varianc

        Variance

        • v0.0.0
        • 0.00
        • Published