Perform a one-way analysis of variance.
JavaScript
9
0
Apache License 2.0
This project provides a function for performing a one-way analysis of variance (ANOVA) in JavaScript. It takes an array of numeric values and an array of classifications, then returns statistical results including F-score, p-value, and means for each group. The package is designed for users needing statistical analysis capabilities in JavaScript, particularly those working with experimental data that requires comparing means across multiple groups.
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Support the dependencies of stdlib-js/stats-anova1
Test if an object has a specified property.
Test if a value is an array.
Test if a value is a boolean.
Test if a value is NaN.
Test if a value is a number.
Test if a value is an array-like object of numbers.
Test if a value is a plain object.
Test if a value is a number having a positive integer value.
Test if a value is typed-array-like.
Return the maximum value.
Round a double-precision floating-point number to the nearest multiple of 10^n.
F distribution cumulative distribution function (CDF).
Compute a corrected sample standard deviation incrementally.
Insert supplied variable values into a format string.
Repeat a string a specified number of times and return the concatenated result.
stdlib TypeScript type declarations.
Define a read-only property.
Format an error message for production.
Create a zero-filled generic array.
Test if an array-like value contains a search value.
Test if a value is an object.
Test if a value is a string.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-anova1
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