Two-sample Student's t-Test.
JavaScript
4
0
Apache License 2.0
The `stdlib-js/stats-ttest2` repository provides a JavaScript implementation of a two-sample Student's t-test for comparing the means of two independent samples. It's part of the stdlib project, a standard library for numerical and scientific computing in JavaScript, and is designed for developers needing statistical analysis capabilities in their applications.
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Support the dependencies of stdlib-js/stats-ttest2
Test if an object has a specified property.
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 a string.
Test if a value is typed-array-like.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Compute the absolute value of a double-precision floating-point number.
Exponential function.
Round a double-precision floating-point number to the nearest multiple of 10^n.
Compute the principal square root of a double-precision floating-point number.
Student's t distribution cumulative distribution function (CDF).
Student's t distribution quantile function.
Calculate the arithmetic mean of a strided array.
Calculate the variance of a strided array.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Define a read-only property.
Format an error message for production.
Generate a linearly spaced numeric array according to a provided increment.
Test if an array-like value contains a search value.
Test if a value is an object.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
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.
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