We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Chi-square independence test
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
Perform a chi-square independence test.
bash
npm install @stdlib/stats-chi2test
javascript
var chi2test = require( '@stdlib/stats-chi2test' );
#### chi2test( x[, options] )
Computes a chi-square independence test for the null hypothesis that the joint distribution of the observed frequencies is the product of the row and column marginals (i.e., that the row and column variables are independent).
javascript
// 2x2 contigency table:
var x = [
[ 20, 30 ],
[ 30, 20 ]
];
var res = chi2test( x );
var o = res.toJSON();
/* returns
{
'rejected': false,
'alpha': 0.05,
'pValue': ~0.072,
'df': 1,
'statistic': 3.24,
...
}
*/
The function accepts the following options
:
- alpha: significance level of the hypothesis test. Must be on the interval [0,1]
. Default: 0.05
.
- correct: boolean
indicating whether to use Yates' continuity correction when provided a 2x2 contingency table. Default: true
.
By default, the test is performed at a significance level of 0.05
. To adjust the significance level, set the alpha
option.
javascript
var x = [
[ 20, 30 ],
[ 30, 20 ]
];
var opts = {
'alpha': 0.1
};
var res = chi2test( x, opts );
var o = res.toJSON();
/* returns
{
'rejected': true,
'alpha': 0.1,
'pValue': ~0.072,
'df': 1,
'statistic': 3.24,
...
}
*/
By default, the function applies Yates' continuity correction for 2x2 contingency tables. To disable the continuity correction, set correct
to false
.
javascript
var x = [
[ 20, 30 ],
[ 30, 20 ]
];
var opts = {
'correct': false
};
var res = chi2test( x, opts );
var o = res.toJSON();
/* returns
{
'rejected': true,
'alpha': 0.05,
'pValue': ~0.046,
'df': 1,
'statistic': 4,
...
}
*/
The function returns a results object
having the following properties:
- alpha: significance level.
- rejected: boolean
indicating the test decision.
- pValue: test p-value.
- statistic: test statistic.
- df: degrees of freedom.
- expected: expected observation frequencies.
- method: test name.
- toString: serializes results as formatted test output.
- toJSON: serializes results as a JSON object.
To print formatted test output, invoke the toString
method. The method accepts the following options:
- digits: number of displayed decimal digits. Default: 4
.
- decision: boolean
indicating whether to show the test decision. Default: true
.
javascript
var x = [
[ 20, 30 ],
[ 30, 20 ]
];
var res = chi2test( x );
var table = res.toString({
'decision': false
});
/* e.g., returns
Chi-square independence test
Null hypothesis: the two variables are independent
pValue: 0.0719
statistic: 3.24
degrees of freedom: 1
*/
javascript
var array = require( '@stdlib/ndarray-array' );
var chi2test = require( '@stdlib/stats-chi2test' );
/*
* Data from students in grades 4-6 on whether good grades, athletic ability, or popularity are most important to them:
*
* Source: Chase, M.A and Dummer, G.M. (1992), "The Role of Sports as a Social Determinant for Children"
*/
var table = array([
/* Grades Popularity Sports */
[ 63, 31, 25 ], // 4th
[ 88, 55, 33 ], // 5th
[ 96, 55, 32 ] // 6th
]);
// Assess whether the grade level and the students' goals are independent of each other:
var out = chi2test( table );
// returns {...}
console.log( out.toString() );