time-to-botec/squiggle/node_modules/jstat/test/models/simple-regression-test.js
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

48 lines
37 KiB
JavaScript

var vows = require('vows');
var assert = require('assert');
var suite = vows.describe('jStat');
require('../env.js');
suite.addBatch({
'model test': {
'topic': function() {
return jStat;
},
'array call': function(jStat) {
// The result is reviewed by R.
var exog = [[1, 0.9],
[1, 2.1],
[1, 2.9],
[1, 4.1],
[1, 4.9],
[1, 6.1],
[1, 6.9],
[1, 8.1],
[1, 8.9],
[1, 10.1]];
var endog = [11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
//var exog = 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//var endog = [6.0,1.0,1.0,1.0,0.0,1.0,1.0,4.0,3.0,0.0,4.0,1.0,5.0,0.0,0.0,0.0,1.0,1.0,5.0,0.0,2.0,2.0,2.0,6.0,1.0,1.0,1.0,0.0,1.0,0.0,2.0,1.0,0.0,1.0,4.0,0.0,1.0,5.0,6.0,1.0,0.0,5.0,1.0,6.0,2.0,2.0,6.0,0.0,1.0,2.0,5.0,5.0,3.0,0.0,0.0,5.0,2.0,0.0,6.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,4.0,4.0,6.0,5.0,1.0,6.0,3.0,1.0,2.0,0.0,1.0,2.0,3.0,3.0,1.0,2.0,0.0,4.0,0.0,5.0,0.0,6.0,0.0,1.0,2.0,6.0,6.0,1.0,1.0,5.0,6.0,5.0,4.0,0.0,5.0,1.0,4.0,0.0,0.0,1.0,6.0,0.0,1.0,0.0,0.0,0.0,6.0,4.0,3.0,0.0,4.0,2.0,2.0,0.0,6.0,0.0,6.0,4.0,3.0,0.0,0.0,6.0,2.0,3.0,1.0,5.0,6.0,1.0,4.0,0.0,0.0,3.0,5.0,0.0,1.0,3.0,1.0,0.0,4.0,0.0,1.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,1.0,1.0,5.0,5.0,4.0,0.0,0.0,0.0,4.0,1.0,5.0,5.0,6.0,0.0,1.0,1.0,0.0,1.0,5.0,6.0,0.0,0.0,0.0,3.0,5.0,1.0,2.0,1.0,6.0,1.0,2.0,1.0,5.0,5.0,0.0,0.0,0.0,1.0,5.0,0.0,5.0,5.0,6.0,5.0,1.0,0.0,6.0,5.0,1.0,6.0,1.0,2.0,5.0,1.0,5.0,1.0,2.0,0.0,2.0,3.0,5.0,2.0,2.0,0.0,0.0,1.0,0.0,6.0,2.0,5.0,0.0,4.0,0.0,4.0,0.0,0.0,2.0,3.0,0.0,2.0,0.0,2.0,0.0,5.0,6.0,1.0,6.0,6.0,0.0,0.0,0.0,2.0,4.0,6.0,1.0,1.0,4.0,4.0,1.0,2.0,5.0,1.0,4.0,1.0,2.0,0.0,1.0,1.0,0.0,2.0,0.0,1.0,2.0,2.0,6.0,1.0,6.0,0.0,1.0,1.0,5.0,0.0,4.0,1.0,5.0,4.0,2.0,4.0,4.0,5.0,0.0,4.0,4.0,1.0,6.0,5.0,2.0,1.0,6.0,5.0,6.0,1.0,0.0,1.0,0.0,0.0,6.0,1.0,6.0,0.0,0.0,1.0,0.0,5.0,1.0,5.0,2.0,1.0,0.0,1.0,5.0,6.0,0.0,5.0,1.0,2.0,5.0,1.0,1.0,5.0,5.0,1.0,0.0,2.0,0.0,1.0,1.0,6.0,0.0,0.0,0.0,1.0,2.0,1.0,5.0,5.0,0.0,4.0,6.0,5.0,5.0,4.0,5.0,2.0,6.0,5.0,6.0,5.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,6.0,6.0,6.0,1.0,5.0,0.0,5.0,1.0,1.0,6.0,0.0,6.0,0.0,6.0,0.0,1.0,4.0,1.0,0.0,5.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,6.0,2.0,6.0,6.0,0.0,0.0,0.0,1.0,1.0,6.0,0.0,2.0,6.0,6.0,0.0,6.0,6.0,1.0,1.0,6.0,0.0,1.0,5.0,6.0,6.0,3.0,4.0,6.0,5.0,3.0,0.0,6.0,5.0,1.0,0.0,4.0,5.0,2.0,0.0,5.0,0.0,4.0,0.0,2.0,1.0,6.0,1.0,0.0,0.0,0.0,6.0,4.0,4.0,5.0,1.0,3.0,5.0,6.0,4.0,1.0,0.0,5.0,5.0,1.0,6.0,6.0,0.0,6.0,6.0,1.0,0.0,4.0,0.0,0.0,2.0,2.0,6.0,1.0,1.0,0.0,6.0,0.0,6.0,0.0,5.0,6.0,2.0,0.0,6.0,6.0,1.0,0.0,0.0,5.0,0.0,6.0,0.0,4.0,4.0,6.0,2.0,3.0,1.0,2.0,1.0,1.0,6.0,6.0,4.0,4.0,5.0,5.0,0.0,6.0,0.0,4.0,1.0,6.0,4.0,0.0,0.0,0.0,1.0,5.0,2.0,0.0,0.0,2.0,5.0,5.0,5.0,5.0,1.0,3.0,6.0,1.0,1.0,1.0,6.0,5.0,1.0,2.0,0.0,2.0,5.0,5.0,0.0,5.0,3.0,1.0,0.0,6.0,0.0,1.0,5.0,1.0,6.0,1.0,6.0,1.0,4.0,2.0,5.0,4.0,0.0,0.0,1.0,6.0,1.0,1.0,2.0,0.0,4.0,1.0,0.0,0.0,2.0,0.0,0.0,4.0,2.0,6.0,1.0,6.0,4.0,0.0,6.0,2.0,0.0,2.0,2.0,5.0,4.0,1.0,6.0,3.0,0.0,4.0,6.0,2.0,5.0,2.0,6.0,0.0,4.0,5.0,5.0,6.0,1.0,1.0,0.0,6.0,6.0,2.0,6.0,4.0,6.0,1.0,4.0,6.0,0.0,6.0,6.0,4.0,4.0,1.0,5.0,6.0,5.0,1.0,1.0,5.0,5.0,6.0,4.0,1.0,2.0,1.0,5.0,4.0,1.0,0.0,4.0,4.0,4.0,0.0,3.0,4.0,2.0,2.0,1.0,2.0,2.0,5.0,6.0,6.0,4.0,1.0,6.0,5.0,6.0,4.0,5.0,0.0,0.0,5.0,4.0,0.0,6.0,2.0,0.0,5.0,5.0,5.0,0.0,2.0,1.0,0.0,1.0,0.0,6.0,5.0,1.0,6.0,1.0,6.0,5.0,4.0,1.0,6.0,0.0,3.0,6.0,2.0,1.0,6.0,6.0,4.0,2.0,2.0,4.0,1.0,6.0,1.0,1.0,2.0,3.0,3.0,6.0,2.0,4.0,1.0,6.0,5.0,2.0,5.0,6.0,4.0,6.0,0.0,5.0,0.0,5.0,5.0,5.0,1.0,5.0,3.0,5.0,5.0,2.0,4.0,5.0,1.0,3.0,0.0,1.0,6.0,2.0,1.0,6.0,6.0,5.0,6.0,5.0,3.0,4.0,4.0,5.0,1.0,6.0,6.0,6.0,5.0,4.0,4.0,2.0,0.0,1.0,5.0,2.0,0.0,5.0,6.0,0.0,1.0,6.0,0.0,0.0,1.0,6.0,6.0,1.0,4.0,3.0,1.0,5.0,6.0,1.0,4.0,5.0,1.0,0.0,5.0,2.0,6.0,5.0,2.0,2.0,2.0,0.0,5.0,6.0,6.0,0.0,2.0,5.0,5.0,1.0,2.0,5.0,5.0,3.0,6.0,1.0,6.0,0.0,6.0,6.0,5.0,1.0,1.0,5.0,2.0,6.0,2.0,0.0,6.0,0.0,5.0,4.0,4.0,6.0,5.0,5.0,0.0,5.0,1.0,0.0,5.0,6.0,4.0,0.0,5.0,6.0,2.0,4.0,1.0,2.0,6.0,5.0,2.0,4.0,6.0,6.0,5.0,5.0,5.0,0.0,3.0,5.0,1.0,5.0,5.0,6.0,6.0,6.0,6.0,1.0,3.0,6.0,0.0,3.0,1.0,4.0,2.0,6.0,5.0,5.0,4.0,0.0,5.0,4.0,5.0,6.0,3.0,1.0,1.0,5.0,6.0,2.0,2.0,6.0,1.0,2.0,0.0,2.0,2.0,4.0,0.0,2.0,5.0,6.0,0.0,5.0,0.0,4.0,3.0,5.0,6.0,2.0,6.0,6.0,6.0,5.0,6.0,6.0,0.0,3.0,6.0,4.0,2.0,2.0,2.0,4.0,6.0,3.0,1.0,1.0,1.0,6.0,6.0,6.0,4.0,0.0,1.0,4.0,2.0,2.0,6.0,4.0,0.0,5.0,6.0,2.0,2.0,1.0,5.0,4.0,2.0,6.0,6.0,6.0,0.0,6.0,4.0,6.0,5.0,6.0,3.0];
var model = jStat.models.ols(endog,exog);
var tol = 0.01;
// coff estimate
assert.epsilon(tol, model.coef[0], 10.0395 );
assert.epsilon(tol, model.coef[1], 0.9928 );
/*
assert.epsilon(tol, model.coef[2], -0.0033);
assert.epsilon(tol, model.coef[3], 0.1608);
assert.epsilon(tol, model.coef[4], 0.0520);
assert.epsilon(tol, model.coef[5], -2.6639);
*/
//R2
assert.epsilon(tol, model.R2, 0.9988);
// f test
assert.epsilon(tol, model.f.pvalue, 0.0000);
}
}
});
suite.export(module);