Polynomial regression I: Difference between revisions
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brd.suspendUpdate(); | brd.suspendUpdate(); | ||
var s = brd.create('slider',[[10,70],[80,70],[0,1,1]],{name:'scale'}); | var s = brd.create('slider',[[10,70],[80,70],[0,1,1]],{name:'scale'}); | ||
var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree'}); | var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree',snapWidth:1}); | ||
var curve = brd.create('curve',[[],[]],{strokeColor:'gray',dash:2}); | var curve = brd.create('curve',[[],[]],{strokeColor:'gray',dash:2}); | ||
curve.updateDataArray = function() { | curve.updateDataArray = function() { | ||
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for(i=0;i<len;i++) this.dataY[i] = s.Value()*data[i]; | for(i=0;i<len;i++) this.dataY[i] = s.Value()*data[i]; | ||
} | } | ||
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY); | |||
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'black'}); | var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'black'}); | ||
brd.create('glider',[100,30,reg],{strokeColor:'black'}); | brd.create('glider',[100,30,reg],{strokeColor:'black'}); | ||
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for(i=0;i<len;i++) this.dataY[i] = s.Value()*data[i]; | for(i=0;i<len;i++) this.dataY[i] = s.Value()*data[i]; | ||
} | } | ||
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg,datax, | var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, data); | ||
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'black'}); | var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'black'}); |
Revision as of 10:18, 7 August 2013
Through the points defining the dashed line the regression polynomial of degree 'degree' is computed and displayed. The points can be scaled by adjusting the slider 'scale'. The degree of the regression polynomial can be changed by using the slider 'degree'.
The underlying JavaScript code
var data = "406.60 428.50 429.30 426.30 434.70 415.90 ... many points ... 521.80 524.40 526.80";
data = data.split(' ');
var datax = [];
for (i = 0; i < data.length; i++) {
data[i] = (parseFloat(data[i])-450.0);
datax[i] = i;
}
var brd = JXG.JSXGraph.initBoard('jxgbox', {boundingbox:[-2, 100, data.length+2, -70], grid: false, axis:true});
brd.suspendUpdate();
var s = brd.create('slider',[[10,70],[80,70],[0,1,1]],{name:'scale'});
var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree',snapWidth:1});
var curve = brd.create('curve',[[],[]],{strokeColor:'gray',dash:2});
curve.updateDataArray = function() {
var i, len = data.length;
this.dataX = datax.slice(0,len);
for(i=0;i<len;i++) this.dataY[i] = s.Value()*data[i];
}
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, data);
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'black'});
brd.create('glider',[100,30,reg],{strokeColor:'black'});
t = brd.create('text',[20,40,
function(){ return "r(x) = " + regressionPolynomial.getTerm();}
],
{strokeColor:'black',fontSize:18});
brd.unsuspendUpdate();