public static double[] CalcDensity(IMatrixData mdata, int colIndX, int colIndY, int points, bool logarithmicX,
bool logaritmicY, DensityEstimationType type)
{
double[] dvals = new double[0];
double[] xvals = new double[0];
double[] yvals = new double[0];
if (logarithmicX && !logaritmicY)
{
xvals = GetLog(GetColumn(mdata, colIndX));
yvals = GetColumn(mdata, colIndY);
}
else if (!logarithmicX && logaritmicY)
{
xvals = GetColumn(mdata, colIndX);
yvals = GetLog(GetColumn(mdata, colIndY));
}
else if (logarithmicX)
{
xvals = GetLog(GetColumn(mdata, colIndX));
yvals = GetLog(GetColumn(mdata, colIndY));
}
else
{
xvals = GetColumn(mdata, colIndX);
yvals = GetColumn(mdata, colIndY);
}
(double[,] values, double[] xmat, double[] ymat) = DensityEstimation.CalcDensityOnGrid(xvals, yvals,
points, type);
DensityEstimation.DivideByMaximum(values);
double[,] percvalues = CalcExcludedPercentage(values);
dvals = new double[xvals.Length];
double[] pvals = new double[xvals.Length];
for (int i = 0; i < dvals.Length; i++)
{
double xx = xvals[i];
double yy = yvals[i];
if (!double.IsNaN(xx) && !double.IsNaN(yy))
{
int xind = ArrayUtils.ClosestIndex(xmat, xx);
int yind = ArrayUtils.ClosestIndex(ymat, yy);
dvals[i] = values[xind, yind];
pvals[i] = percvalues[xind, yind];
}
else
{
dvals[i] = double.NaN;
pvals[i] = double.NaN;
}
}
return(pvals);
}
public static double[] CalcDensity(IMatrixData mdata, int colIndx, int colIndy,
int points)
{
double[] dvals = new double[0];
double[] xvals = GetColumn(mdata, colIndx);
double[] yvals = GetColumn(mdata, colIndy);
GetValidPairs(xvals, yvals, out double[] xvals1, out double[] yvals1);
DensityEstimation.CalcRanges(xvals1, yvals1, out double xmin, out double xmax, out double ymin, out double ymax);
double[,] values = DensityEstimation.GetValuesOnGrid(xvals1, xmin, (xmax - xmin) / points, points, yvals1, ymin,
(ymax - ymin) / points, points);
DensityEstimation.DivideByMaximum(values);
double[] xmat = new double[points];
for (int i = 0; i < points; i++)
{
xmat[i] = xmin + i * (xmax - xmin) / points;
}
double[] ymat = new double[points];
for (int i = 0; i < points; i++)
{
ymat[i] = ymin + i * (ymax - ymin) / points;
}
double[,] percvalues = CalcExcludedPercentage(values);
dvals = new double[xvals.Length];
double[] pvals = new double[xvals.Length];
for (int i = 0; i < dvals.Length; i++)
{
double xx = xvals[i];
double yy = yvals[i];
if (!double.IsNaN(xx) && !double.IsNaN(yy))
{
int xind = ArrayUtils.ClosestIndex(xmat, xx);
int yind = ArrayUtils.ClosestIndex(ymat, yy);
dvals[i] = values[xind, yind];
pvals[i] = percvalues[xind, yind];
}
else
{
dvals[i] = double.NaN;
pvals[i] = double.NaN;
}
}
return(dvals);
}
public void ProcessData(IMatrixData mdata, Parameters param, ref IMatrixData[] supplTables,
ref IDocumentData[] documents, ProcessInfo processInfo)
{
int[] colIndx = param.GetParam <int[]>("x").Value;
int[] colIndy = param.GetParam <int[]>("y").Value;
if (colIndx.Length == 0)
{
processInfo.ErrString = "Please select some columns";
return;
}
if (colIndx.Length != colIndy.Length)
{
processInfo.ErrString = "Please select the same number of columns in the boxes for the first and second columns.";
return;
}
int typeInd = param.GetParam <int>("Distribution type").Value;
int points = param.GetParam <int>("Number of points").Value;
for (int k = 0; k < colIndx.Length; k++)
{
float[] xvals = GetColumn(mdata, colIndx[k]);
float[] yvals = GetColumn(mdata, colIndy[k]);
float[] xvals1;
float[] yvals1;
NumUtils.GetValidPairs(xvals, yvals, out xvals1, out yvals1);
double xmin;
double xmax;
double ymin;
double ymax;
DensityEstimation.CalcRanges(xvals1, yvals1, out xmin, out xmax, out ymin, out ymax);
float[,] values = DensityEstimation.GetValuesOnGrid(xvals1, xmin, (xmax - xmin) / points, points, yvals1, ymin,
(ymax - ymin) / points, points);
if (typeInd == 1)
{
MakeConditional1(values);
}
if (typeInd == 2)
{
MakeConditional2(values);
}
if (typeInd == 3)
{
MakeConditional3(values);
}
DensityEstimation.DivideByMaximum(values);
double[] xmat = new double[points];
for (int i = 0; i < points; i++)
{
xmat[i] = xmin + i * (xmax - xmin) / points;
}
double[] ymat = new double[points];
for (int i = 0; i < points; i++)
{
ymat[i] = ymin + i * (ymax - ymin) / points;
}
float[,] percvalues = CalcExcludedPercentage(values);
double[] dvals = new double[xvals.Length];
double[] pvals = new double[xvals.Length];
for (int i = 0; i < dvals.Length; i++)
{
double xx = xvals[i];
double yy = yvals[i];
if (!double.IsNaN(xx) && !double.IsNaN(yy))
{
int xind = ArrayUtils.ClosestIndex(xmat, xx);
int yind = ArrayUtils.ClosestIndex(ymat, yy);
dvals[i] = values[xind, yind];
pvals[i] = percvalues[xind, yind];
}
else
{
dvals[i] = double.NaN;
pvals[i] = double.NaN;
}
}
string xname = GetColumnName(mdata, colIndx[k]);
string yname = GetColumnName(mdata, colIndy[k]);
mdata.AddNumericColumn("Density_" + xname + "_" + yname,
"Density of data points in the plane spanned by the columns " + xname + " and " + yname + ".", dvals);
mdata.AddNumericColumn("Excluded fraction_" + xname + "_" + yname,
"Percentage of points with a point density smaller than at this point in the plane spanned by the columns " + xname +
" and " + yname + ".", pvals);
}
}