WPF point tween, fit regression line

1,path painting brush, draw sine dot, line;

Generating sine points

                Profilepoint.value = * (1));                 1;

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Draw points

1EllipseGeometry el =NewEllipseGeometry ();2El. Center =p;3El. RadiusX =0.5;4El. RadiusY =0.5;5             6Path MyPath =NewPath ();7MyPath. Stroke =s;8MyPath. StrokeThickness =1;9MyPath. Data =el;Ten  OnePANELCANVAS.CHILDREN.ADD (MyPath);

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Draw Line

1LineGeometry line =Newlinegeometry ();2Line. StartPoint =StartPoint;3Line. EndPoint =EndPoint;4 5Path MyPath =NewPath ();6MyPath. Stroke =s;7MyPath. StrokeThickness =1;8MyPath. Data =Line ;9 TenPANELCANVAS.CHILDREN.ADD (MyPath);

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2, regression line

1         /// <summary>2         ///calculation of regression line by least squares method3         /// </summary>4         /// <param name= "listpoints" >Least Squares calculation unit</param>5         /// <returns></returns>6          PublicApproximateline Calapproximateline (list<point>listpoints)7         {8Approximateline appr =Newapproximateline ();9             DoubleTotal =0;//Temp VariableTen             DoubleAverageX =0;//x Average One             DoubleAveragey =0;//y average A             Doubledispersion =0;//covariance -             Doubleb =0;//Slope -             DoubleA =0;//y-Axis intercept the             //x Average calculation -Total =0; -              for(inti =0; i < Listpoints.count; i++) -             { +Total + =Listpoints[i]. X; -             } +AverageX = Total/Listpoints.count; A             //y average calculation atTotal =0; -              for(inti =0; i < Listpoints.count; i++) -             { -Total + =Listpoints[i]. Y; -             } -Averagey = Total/Listpoints.count; in             //Covariance calculation -Total =0; to              for(inti =0; i < Listpoints.count; i++) +             { -Total + = ((listpoints[i). Y-averagey) * (Listpoints[i]. XAverageX)); the             } *dispersion = total/Listpoints.count; $             //slope CalculationPanax NotoginsengTotal =0; -             DoubleTMP =0; the              for(inti =0; i < Listpoints.count; i++) +             { ATotal + = Listpoints[i]. YListpoints[i]. X; theTMP + = Math.pow (Listpoints[i]. X2); +             } -b = (total-listpoints.count*averagex*averagey)/(tmp-listpoints.count*averagex*AverageX); $             //Intercept Calculation $A = Averagey-b *AverageX; -             //Determine the starting and ending point coordinates -Scaleprofilepoint P1 =Newscaleprofilepoint (); theScaleprofilepoint P2 =Newscaleprofilepoint (); -P1. Type =1;WuyiP1. Valuex = listpoints[0]. X; theP1. Valuez = a + b *P1. Valuex; -P2. Type =1; WuP2. Valuex = listpoints[listpoints.count-1]. X; -P2. Valuez = a + b *P2. Valuex; About             //padding return value $appr. dispersion =dispersion; -appr. Horizontal =true; -appr. STARTPNT =P1; -appr. ENDPNT =P2; A             returnappr; +}

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3. Remove elements from canvas and empty canvas

this. panelCanvas.Children.Clear ();

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WPF point tween, fit regression line