Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Provides functions for many of the statistical operations that you might need
JavaScript
branch: master
Failed to load latest commit information.
docs added lcm and gcd
lib added lcm and gcd
test added lcm and gcd
.gitignore First commit
.npmignore First commit
LICENSE First commit
README.md link to custom expect.js
package.json bump to 1.0.6

README.md

Stats.js by Angus Gibbs

Provides functions for many of the statistical operations that you might need.

About

Stats.js currently supports many of the statistical functions that you might need, including

  • regression lines (linear, power, exponential)
  • min, max, mean, median, first quartile, third quartile
  • least common multiple and greatest common factor
  • standard deviation
  • sorting a list of points by an attribute
  • probabilities (binomial, geometric, normal)
  • z procedures

It also supports many of the functions on the data set that you'd expect from Underscore, such as pluck, map, and each.

See the getting started guide for more information.

Roadmap

  • Better documentation
  • Auto-detect best regression line

Contributing

Patches are welcome, just make sure there are matching unit tests. Tests use mocha with my fork of expect.js (which allows you to assert that a value is within a certain error range of another value). Once you clone the repo (either your fork or this repository), cd into it and run npm install to install mocha and expect.js. Tests can be found within test/test.js.

License

Stats.js is licensed under the MIT License. See https://github.com/angusgibbs/statsjs/blob/master/LICENSE for the full license.

Something went wrong with that request. Please try again.