Polynomial regression I: Difference between revisions
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data[i] = (parseFloat(data[i])-450.0); | data[i] = (parseFloat(data[i])-450.0); | ||
} | } | ||
var brd = JXG.JSXGraph.initBoard('jxgbox', {boundingbox:[-2, 100, data.length+2, -70], grid: false, axis:true}); | var brd = JXG.JSXGraph.initBoard('jxgbox', {boundingbox:[-2, 100, data.length+2, -70], grid: false, axis:true}); | ||
Line 18: | Line 18: | ||
var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree',snapWidth:1}); | var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree',snapWidth:1}); | ||
var curve = brd.create('curve',[[],[]],{ | var curve = brd.create('curve',[[],[]],{strokeColor:'gray',strokeWidth:2, dash:2}); | ||
curve.updateDataArray = function() { | curve.updateDataArray = function() { | ||
var i, len = data.length; | var i, len = data.length; | ||
Line 26: | Line 26: | ||
} | } | ||
} | } | ||
curve.update(); // Needed for correct glider position | |||
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY); | var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY); | ||
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:' | var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'blue', strokeWidth:4}); | ||
brd.create('glider',[100,30,reg],{strokeColor:'black'}); | brd.create('glider',[100,30,reg],{strokeColor:'black'}); | ||
Line 53: | Line 54: | ||
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',snapWidth:1}); | var deg = brd.create('slider',[[10,90],[80,90],[1,1,10]],{name:'degree',snapWidth:1}); | ||
curve.updateDataArray = function() { | curve.updateDataArray = function() { | ||
var i, len = data.length; | var i, len = data.length; | ||
this.dataX = datax.slice(0,len); | this.dataX = datax.slice(0,len); | ||
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]; | |||
} | |||
} | } | ||
curve.update(); // Needed for correct glider position | |||
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY); | var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY); | ||
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'blue', strokeWidth:4}); | |||
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:' | |||
brd.create('glider',[100,30,reg],{strokeColor:'black'}); | brd.create('glider',[100,30,reg],{strokeColor:'black'}); | ||
Latest revision as of 17:04, 21 November 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});
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];
}
}
curve.update(); // Needed for correct glider position
var regressionPolynomial = JXG.Math.Numerics.regressionPolynomial(deg, datax, curve.dataY);
var reg = brd.create('functiongraph',[regressionPolynomial],{strokeColor:'blue', strokeWidth:4});
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();