private static void FillMatrixDontKeep(int groupColInd, int validVals, IMatrixData mdata,
Func <IList <double>, double> func)
{
string[][] groupCol = mdata.GetCategoryRowAt(groupColInd);
string[] groupNames = ArrayUtils.UniqueValuesPreserveOrder(groupCol);
int[][] colInds = PerseusPluginUtils.GetMainColIndices(groupCol, groupNames);
double[,] newExCols = new double[mdata.RowCount, groupNames.Length];
double[,] newQuality = new double[mdata.RowCount, groupNames.Length];
bool[,] newImputed = new bool[mdata.RowCount, groupNames.Length];
for (int i = 0; i < newExCols.GetLength(0); i++)
{
for (int j = 0; j < newExCols.GetLength(1); j++)
{
List <double> vals = new List <double>();
List <bool> imps = new List <bool>();
foreach (int ind in colInds[j])
{
double val = mdata.Values.Get(i, ind);
if (!double.IsNaN(val) && !double.IsInfinity(val))
{
vals.Add(val);
imps.Add(mdata.IsImputed[i, ind]);
}
}
bool imp = false;
double xy = double.NaN;
if (vals.Count >= validVals)
{
xy = func(vals);
imp = ArrayUtils.Or(imps);
}
newExCols[i, j] = xy;
newQuality[i, j] = double.NaN;
newImputed[i, j] = imp;
}
}
mdata.ColumnNames = new List <string>(groupNames);
mdata.ColumnDescriptions = GetEmpty(groupNames);
mdata.Values.Set(newExCols);
mdata.Quality.Set(newQuality);
mdata.IsImputed.Set(newImputed);
mdata.RemoveCategoryRowAt(groupColInd);
for (int i = 0; i < mdata.CategoryRowCount; i++)
{
mdata.SetCategoryRowAt(AverageCategoryRow(mdata.GetCategoryRowAt(i), colInds), i);
}
for (int i = 0; i < mdata.NumericRows.Count; i++)
{
mdata.NumericRows[i] = AverageNumericRow(mdata.NumericRows[i], colInds);
}
}
private static void ProcessDataDelete(IMatrixData mdata, Parameters param)
{
int groupColInd = param.GetSingleChoiceParam("Category row").Value;
mdata.RemoveCategoryRowAt(groupColInd);
}
private static void FillMatrixDontKeep(int groupColInd, int validVals, IMatrixData mdata,
Func<IList<double>, double> func)
{
string[][] groupCol = mdata.GetCategoryRowAt(groupColInd);
string[] groupNames = ArrayUtils.UniqueValuesPreserveOrder(groupCol);
int[][] colInds = PerseusPluginUtils.GetExpressionColIndices(groupCol, groupNames);
float[,] newExCols = new float[mdata.RowCount,groupNames.Length];
float[,] newQuality = new float[mdata.RowCount,groupNames.Length];
bool[,] newImputed = new bool[mdata.RowCount,groupNames.Length];
for (int i = 0; i < newExCols.GetLength(0); i++){
for (int j = 0; j < newExCols.GetLength(1); j++){
List<double> vals = new List<double>();
List<bool> imps = new List<bool>();
foreach (int ind in colInds[j]){
double val = mdata[i, ind];
if (!double.IsNaN(val) && !double.IsInfinity(val)){
vals.Add(val);
imps.Add(mdata.IsImputed[i, ind]);
}
}
bool imp = false;
float xy = float.NaN;
if (vals.Count >= validVals){
xy = (float) func(vals);
imp = ArrayUtils.Or(imps);
}
newExCols[i, j] = xy;
newQuality[i, j] = float.NaN;
newImputed[i, j] = imp;
}
}
mdata.ExpressionColumnNames = new List<string>(groupNames);
mdata.ExpressionColumnDescriptions = GetEmpty(groupNames);
mdata.ExpressionValues = newExCols;
mdata.QualityValues = newQuality;
mdata.IsImputed = newImputed;
mdata.RemoveCategoryRowAt(groupColInd);
for (int i = 0; i < mdata.CategoryRowCount; i++){
mdata.SetCategoryRowAt(AverageCategoryRow(mdata.GetCategoryRowAt(i), colInds), i);
}
for (int i = 0; i < mdata.NumericRows.Count; i++){
mdata.NumericRows[i] = AverageNumericRow(mdata.NumericRows[i], colInds);
}
}
