The majority of jStat functions can be used independently of any other libraries. However, the plotting functionality of jStat is based on the jQuery plugin - flot. Therefore, to generate plots using jStat the following dependencies are required:
jStat only uses elements that adhere to the jQuery UI ThemeRoller styles so any jQuery UI theme can be used.
jStat should work in all major browsers. Most of the limitations arise from the use of the HTML 5 canvas element when plotting. Below is a list of supported browsers:
jStat uses numerous advanced statistical functions that require considerable processing power. This requirement results in differing user experiences depending upon your browser choice. Currently, the fastest browser is Google Chrome. However, most browsers provide satisfactory performance, with the exception of Internet Explorer which has a significant performance hit.
jStat was designed with simplicity in mind. Using an object-oriented design provides a clean API that can produce results in a few lines of code. jStat also provides a procedural API that mimics R.
To demonstrate the simplicity of jStat a number of examples are provided below. Clicking on the 'execute' button will run the code of each example.
var norm = new NormalDistribution(0,1) // normal distribution var q = norm.getQuantile(0.95); // the 0.95 quantile alert(q); // output the result
// Calculate the cumulative density of a beta distribution var cumulative = jstat.pbeta(0.5, 2.3, 4.1); alert(cumulative); // output the result
// generate 100 points betwen -5 and 5 var range = jstat.seq(-5,5,100); // calculate the densities at each point var densities = jstat.dnorm(range, 0.0, 1.0); // produce the plot (no formatting) jstat.plot(range, densities);
Choose your download:
The bundle contains all jStat dependencies and the Aristo jQuery theme.
Current release: v1.0.0