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    lazy-stats

    3.1.1 • Public • Published

    lazy-stats

    online average, variance, covariance and correlation

    ExampleFeaturesLimitationsAPILicense

    Example

    import LazyStats from 'lazy-stats'
    const stat = new LazyStats(3), // for 3 random variables
    
    stat.push(2,1,0)
    stat.push([1,1,1])
    stat.push(0,1,2)
    
    const average0 = stat.ave(0),
          average1 = stat.ave(1),
          variance2 = stat.var(2),
          covariance12 = stat.cov(1,2),
          correlation20 = stat.cor(2,0)

    Features

    Limitations

    • all variables must have the same number of samples, pushed at the same time
    • no skew and kurtosis

    API

    Properties

    • .N number: total samples received

    Methods

    • .push(number0, number1, ...) => {number} sampleSize - add sample value(s) and returns the sampe size
    • .push([number0, number1, ...]) => {number} sampleSize - add array of sample value(s) and returns the sampe size
    • .ave(index) => {number} - average of a given dataset
    • .var(index) => {number} - variance of a given dataset
    • .dev(index) => {number} - standard deviation of a given dataset
    • .cov(i, j) => {number} - covariance between two datasets
    • .cor(i, j) => {number} - correlation between two datasets
    • .reset() => {object} this - clears all sums and counts back to 0

    License

    Released under the MIT License

    Install

    npm i lazy-stats

    DownloadsWeekly Downloads

    9

    Version

    3.1.1

    License

    MIT

    Unpacked Size

    5.64 kB

    Total Files

    5

    Last publish

    Collaborators

    • hugov