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anova

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Analysis of Variance (ANOVA)

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# ANOVA [![Build Status](https://travis-ci.org/lukem512/anova.svg?branch=master)](https://travis-ci.org/lukem512/anova) ![Build Status](https://david-dm.org/lukem512/anova.svg) [![npm](https://img.shields.io/npm/l/anova.svg)](https://www.npmjs.com/package/anova) [![npm](https://img.shields.io/npm/v/anova.svg)](https://www.npmjs.com/package/anova) [![npm](https://img.shields.io/npm/dm/anova.svg)](https://www.npmjs.com/package/anova) An NPM module providing the Analysis of Variance (ANOVA) parametric statistical test. When performing ANOVA, individual observations (values) are grouped into treatments (samples, arrays of values). The analysis is performed on an array of treatments and results in an F-value. Additional values, such as the Sum of Squares, can be computed using the functions described below. To use it, simply install via NPM and include it in your project file. ``` var anova = require('anova'); ``` To compute the F-test of an array of samples use the `test` function: ``` var samples = [[3,3,5,1], [1,2,3]]; console.log(ss.test(samples)); // 0.8571428571428572 ``` To compute the Sum of Squares use the `SS` function: ``` var ss = anova.SS(samples); console.log('The between treatments SS is:', ss.treatments); console.log('The error or residual SS is:', ss.residual); console.log('The total SS is:', ss.total); ``` To compute the Degrees of Freedom use the `DF` function: ``` var df = anova.DF(samples); console.log('The between treatments DF is:', df.treatments); console.log('The error or residual DF is:', df.residual); console.log('The total DF is:', df.total); ``` To compute the Mean Squared use the `MS` function: ``` var ms = anova.MS(samples); console.log('The between treatments MS is:', ms.treatments); console.log('The error or residual MS is:', ms.residual); ```