stdlib-js
<summary>
About stdlib...
</summary>
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Stats
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Statistical functions.
bash
npm install @stdlib/stats
javascript
var statistics = require( '@stdlib/stats' );
#### statistics
Namespace containing statistical functions.
javascript
var stats = statistics;
// returns {...}
The namespace exposes the following statistical tests:
- [
In addition, it contains an assortment of functions for computing statistics incrementally as part of the anova1( x, factor[, opts] )][@stdlib/stats/anova1]: perform a one-way analysis of variance.
- [bartlettTest( a[,b,...,k][, opts] )][@stdlib/stats/bartlett-test]: compute Bartlett’s test for equal variances.
- [binomialTest( x[, n][, opts] )][@stdlib/stats/binomial-test]: exact test for the success probability in a Bernoulli experiment.
- [chi2gof( x, y[, ...args][, options] )][@stdlib/stats/chi2gof]: perform a chi-square goodness-of-fit test.
- [chi2test( x[, options] )][@stdlib/stats/chi2test]: perform a chi-square independence test.
- [flignerTest( a[,b,...,k][, opts] )][@stdlib/stats/fligner-test]: compute the Fligner-Killeen test for equal variances.
- [kruskalTest( a[,b,...,k][, opts] )][@stdlib/stats/kruskal-test]: compute the Kruskal-Wallis test for equal medians.
- [kstest( x, y[, ...params][, opts] )][@stdlib/stats/kstest]: one-sample Kolmogorov-Smirnov goodness-of-fit test.
- [leveneTest( x[, y, ..., z][, opts] )][@stdlib/stats/levene-test]: compute Levene's test for equal variances.
- [pcorrtest( x, y[, opts] )][@stdlib/stats/pcorrtest]: compute a Pearson product-moment correlation test between paired samples.
- [ttest( x[, y][, opts] )][@stdlib/stats/ttest]: one-sample and paired Student's t-Test.
- [ttest2( x, y[, opts] )][@stdlib/stats/ttest2]: two-sample Student's t-Test.
- [vartest( x, y[, opts] )][@stdlib/stats/vartest]: two-sample F-test for equal variances.
- [wilcoxon( x[, y][, opts] )][@stdlib/stats/wilcoxon]: one-sample and paired Wilcoxon signed rank test.
- [ztest( x, sigma[, opts] )][@stdlib/stats/ztest]: one-sample z-Test.
- [ztest2( x, y, sigmax, sigmay[, opts] )][@stdlib/stats/ztest2]: two-sample z-Test.
incr sub-namespace and functions for computing statistics over iterators in the iterators namespace.
- [
The incr][@stdlib/stats/incr]: incremental statistics.
- [iterators][@stdlib/stats/iter]: statistical function iterators.
base sub-namespace contains functions to calculate statistics alongside a dists namespace containing functions related to a wide assortment of probability distributions.
- [
Other statistical functions included are:
base][@stdlib/stats/base]: base (i.e., lower-level) statistical functions.
- [
kde2d()][@stdlib/stats/kde2d]: two-dimensional kernel density estimation.
- [lowess( x, y[, opts] )][@stdlib/stats/lowess]: locally-weighted polynomial regression via the LOWESS algorithm.
- [padjust( pvals, method[, comparisons] )][@stdlib/stats/padjust]: adjust supplied p-values for multiple comparisons.
- [ranks( arr[, opts] )][@stdlib/stats/ranks]: compute ranks for values of an array-like object.
javascript
var objectKeys = require( '@stdlib/utils/keys' );
var statistics = require( '@stdlib/stats' );
console.log( objectKeys( statistics ) );
