https://github.com/atlassubbed/atlas-mad

https://github.com/atlassubbed/atlas-mad

Last synced: 21 days ago
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• Host: GitHub
• URL: https://github.com/atlassubbed/atlas-mad
• Owner: atlassubbed
• License: other
• Created: 2018-07-16T03:03:48.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-07-16T03:31:35.000Z (over 6 years ago)
• Last Synced: 2024-12-05T18:44:11.253Z (about 1 month ago)
• Language: JavaScript
• Size: 7.81 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# atlas-mad

Calculates the median absolute deviation of a set of data points in-place.

[![Travis](https://img.shields.io/travis/atlassubbed/atlas-mad.svg)](https://travis-ci.org/atlassubbed/atlas-mad)

---

## install

```

npm install --save atlas-mad

```

## why

Breaking up [atlas-dataset](https://github.com/atlassubbed/atlas-dataset#readme) into standalone functions. This module computes the median absolute deviation (MAD) over an array of numbers:



  



The MAD is a more robust measure of "spread" in a distribution because it does not suffer from quadratic outlier contributions, unlike the standard deviation. The MAD is useful for cases where your data contains a small number of outliers (e.g. programming benchmarks).

## examples

#### unsorted array

The `mad` function sorts the array in-place before calculating the median absolute deviation.

```javascript

const mad = require("atlas-mad")

console.log(mad([4,3,1,2]))

// 1

```

#### sorted array

To avoid sorting a pre-sorted array, use a boolean flag:

```javascript

...

const isSorted = true;

console.log(mad([1,2,3,4,5], isSorted)) // fast

// 1

```