43 lines
1.6 KiB
JavaScript
43 lines
1.6 KiB
JavaScript
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var vows = require('vows');
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var assert = require('assert');
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var suite = vows.describe('jStat.distribution');
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require('../env.js');
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suite.addBatch({
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'non-central-t cdf': {
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'topic': function() {
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return jStat;
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},
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//Checked against R pt(x,df,ncp)
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'check cdf calculation': function(jStat) {
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var tol = 0.0000001;
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assert.epsilon(tol, jStat.noncentralt.cdf(-0.5, 3, 2), 0.007800301076444027);
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assert.epsilon(tol, jStat.noncentralt.cdf(0.5, 3, 2), 0.06547898556460677);
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assert.epsilon(tol, jStat.noncentralt.cdf(7, 3, 2), 0.9527511310481739);
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assert.epsilon(tol, jStat.noncentralt.cdf(23, 8, 25), 0.3084615014611897);
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assert.epsilon(tol, jStat.noncentralt.cdf(30, 8, 25), 0.695466162732754);
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assert.epsilon(tol, jStat.noncentralt.cdf(2, 28, 5), 0.001787373536766708);
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assert.epsilon(tol, jStat.noncentralt.cdf(8, 28, 5), 0.9790186262147481);
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},
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//Checked against R's dt(x, df, ncp)
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'check pdf calculation': function(jStat) {
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var tol = 0.0000001;
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assert.epsilon(tol, jStat.noncentralt.pdf(-0.5, 3, 2), 0.0159905834194889);
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assert.epsilon(tol, jStat.noncentralt.pdf(0.5, 3, 2), 0.1296653879954894);
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assert.epsilon(tol, jStat.noncentralt.pdf(7, 3, 2), 0.01796331192039574);
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assert.epsilon(tol, jStat.noncentralt.pdf(23, 8, 25), 0.06329514733502346);
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assert.epsilon(tol, jStat.noncentralt.pdf(30, 8, 25), 0.04088472607966773);
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assert.epsilon(tol, jStat.noncentralt.pdf(2, 28, 5), 0.006044279465609167);
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assert.epsilon(tol, jStat.noncentralt.pdf(8, 28, 5), 0.02883829067311495);
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}
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},
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});
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suite.export(module);
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