2.1.11.17 ocmath_partial_reg_plots

1 Description
2 Syntax
3 Parameters
4 Return
5 Examples
6 Remark
7 See Also
8 Header to Include
9 Reference

Description

Function to compute the data for partial regression plot

Syntax

int ocmath_partial_reg_plots( const double * pX, UINT nOSizeN, UINT nVSizeM, const double * pY, const LROptions * psLROptions, double * pPlotMat, uint nMPlotMat )

Parameters

pX: [input] matrix containing data points of the independent variables
nOSizeN: [input] the number of observations, n. n>=2
nVSizeM: [input] the total number of independent variables in the data set, m. m>=1
pY: [input] pointer data points of dependent variable, size of pY = nOSizeN
psLROptions: [input] pointer to structure for linear regression options
pPlotMat: [output] pointer to data for partial regression plot,; in the pPlotMat, the 2k-1th column indicates the x axis values and 2k column; indicates the y axis of partial regression plot of the nth parameter. Row size of; pPlotMat should be nOSizeN;
nMPlotMat: [input] column size of pPlotMat;

Return

Examples

EX1

void mr_plot()
{
    Matrix mat1("MBook1");
    matrix mX = mat1;
    Dataset dsY("Book1_A");
    vector vY = dsY;
    int nVSizeM = mX.GetNumCols();
    int nOSizeN = mX.GetNumRows();
    LROptions sLROptions;
    sLROptions.FixIntercept = false;
    matrix mPlot;
    int nFitSize = sLROptions.FixIntercept ? nVSizeM : nVSizeM + 1;
    mPlot.SetSize(nOSizeN, 2*nFitSize);
    int nRet = ocmath_partial_reg_plots(mX, nOSizeN, nVSizeM, vY, &sLROptions, mPlot, 2*nFitSize);    
    Matrix mat2("MBook2");
    mat2 = mPlot;            
}