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NOTE: The code in this repository does not currently match that found on www.jstat.org. We are in the process of merging two similar projects and will update the website once the merge is complete.

jStat - JavaScript Statistical Library

Build Prerequisites

In order to build jStat, you need to have GNU make 3.8 or later, Node.js 0.2 or later, and git 1.7 or later. (Earlier versions might work OK, but are not tested.)

Windows users have two options:

  1. Install msysgit (Full installer for official Git), GNU make for Windows, and a binary version of Node.js. Make sure all three packages are installed to the same location (by default, this is C:\Program Files\Git).
  2. Install Cygwin (make sure you install the git, make, and which packages), then either follow the Node.js build instructions or install the binary version of Node.js.

Mac OS users should install Xcode (comes on your Mac OS install DVD, or downloadable from Apple's Xcode site) and http://mxcl.github.com/homebrew/. Once Homebrew is installed, run brew install git to install git, and brew install node to install Node.js.

Linux/BSD users should use their appropriate package managers to install make, git, and node, or build from source if you swing that way.

Building jStat

First, clone a copy of the jStat git repo by running git clone git://github.com/jstat/jstat.git.

To download all necessary libraries run npm install.

Then, to get a complete, minified version of jStat and all documentation, simply cd to the jstat directory and type make. If you don't have Node installed and/or want to make a basic, uncompressed, unlinted version of jstat, use make jstat instead of make.

The built version of jStat will be put in the dist/ subdirectory.

Generate just the documentation by running make doc. Documentation will be placed in dist/docs by default.

To remove all built files, run make clean.

Running Tests

Execute all tests by running make test.

Or if you with to run a specific test, cd to test/<subdir> and run node <some_test>-test.js.

Join the Community

We always like discussion of how to improve jStat. Join us at our mailing list and let us know what you'd like to see. Also come ask questions in the #jstat channel on irc.freenode.net.

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JavaScript Statistical Libraray

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