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开源软件名称:jstat/jstat开源软件地址:https://github.com/jstat/jstat开源编程语言:JavaScript 99.6%开源软件介绍:jStat - JavaScript Statistical LibraryjStat provides native javascript implementations of statistical functions. Full details are available in the docs. jStat provides more functions than most libraries, including the weibull, cauchy, poisson, hypergeometric, and beta distributions. For most distributions, jStat provides the pdf, cdf, inverse, mean, mode, variance, and a sample function, allowing for more complex calculations. NOTICE: The previous case sensitive Using jStat in a BrowserjStat can be used in the browser. The
CDNThe library is hosted on jsDelivr using the following url:
Note that Module LoadersCurrently jStat is exposed as NodeJS & NPMTo install via npm:
When loading under Node be sure to reference the child object.
RequireJS ShimFor RequireJS not only
Build PrerequisitesIn 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:
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 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 jStatFirst, clone a copy of the jStat git repo by running To download all necessary libraries run Then, to get a complete, minified version of jStat and all documentation,
simply The built version of jStat will be put in the Generate just the documentation by running To remove all built files, run Running TestsExecute all tests by running Or if you wish to run a specific test, Get the CodeBoth the minified and unminified source are located in the ContributejStat is now going to follow most of the v8 JavaScript guidelines. There will be plenty of source that uses the old style, but we're going to work away from that. Also, we'll be going through and reimplementing a good portion of the code to run faster. Hopefully it won't take too long to get the project on one basic standard. When submitting pull requests, no need to check in Join the CommunityWe 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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