Global

Methods

WDistributions() → {Object}

Source:

計算Uniform、Normal、Binomial、Studentt分佈參數

因原版distributions使用cephes時未用compiled方式來支援瀏覽器, 且cephes內有使用node的Buffer, 需配合node polyfill編譯才能給前端瀏覽器使用

Fork: distributions

Unit Test: Github

Example
//import wd from './src/WDistributions.mjs'
//import wd from './dist/w-distributions.umd.js'
//import wd from 'w-distributions'

async function test() {
    let r

    let normal = await wd.Normal(1,2) //mean=1,std deviation=2

    r = normal.pdf(1)
    console.log(r)
    // => 0.19947114020071632

    r = normal.cdf(1)
    console.log(r)
    // => 0.5

    r = normal.inv(1)
    console.log(r)
    // => Infiniy

    r = normal.mean()
    console.log(r)
    // => 1

    r = normal.median()
    console.log(r)
    // => 1

    r = normal.variance()
    console.log(r)
    // => 4

    //compare with: https://stattrek.com/online-calculator/t-distribution.aspx

    let studentt = await wd.Studentt(34) //degrees of freedom=34

    r = studentt.inv(0.95) //one or two sided test p-values=0.95
    console.log(r)
    // => 1.6909242551868549

    studentt = await wd.Studentt(4) //degrees of freedom=4

    r = studentt.inv(0.05) //one or two sided test p-values=0.05
    console.log(r)
    // => -2.1318467863266504

}
test()
    .catch((err) => {
        console.log(err)
    })
Returns:

回傳各分佈初始化函數

Type
Object