normalize-samples

A light tool to normalize a sample drawn from multiple populations. Outputs include a normalized Z-score and confidence intervals for the sample.

Example

const normalize = require('normalize-samples')
 
// For each population, provide the population mean and standard deviation.
// Use whichever population names you want.
// There's no limit on the number of populations or sample sizes.
const samples = {
    popuplationNameA: {
        mean: 43.93,
        sd: 30.746,
        sample: [ 20,  42,  30, ..., 21,  89, 29 ]
    },
    popuplationNameB: {
        mean: 490.14,
        sd: 290.043,
        sample: [ 632,  606,  836,, ..., 306,  191,  773 ]
    }
}
 
const sampleResults = normalize(samples)
return sampleResults
// All results are normalized
/*
{
    samples: [ -0.7783126260326547, -0.0627723931568334, ..., 1.4691109994977396],
    n: 50,
    mean: 0.060919568506139964,
    standardError: 0.14142135623,
    zScore: 0.182759,
    proportion: 0.5714,
    confidenceInterval95: {
        low: -0.2162662897,
        high: 0.33810542671,
        marginOfError: 0.27718585821
    },
    confidenceInterval98: {
        low: -0.2685921915,
        high: 0.39043132851,
        marginOfError: 0.32951176001
    }
}
*/

Installation

This plugin is compatible with Node versions >= 4.8.6.

Add the normalize-samples package via your preferred package manager:

npm install --save normalize-samples

Contributing

Contributions are always welcome. You are encouraged to open issues and merge requests.

To run the tests, use npm run test.