public void ProcessData(IMatrixData mdata, Parameters param, ref IMatrixData[] supplTables,
ref IDocumentData[] documents, ProcessInfo processInfo)
{
int minCount = param.GetParam <int>("Min. count").Value;
int selCol = param.GetParam <int>("Selection").Value;
string value = param.GetParam <string>("Value").Value;
int[] catIndices = param.GetParam <int[]>("Categories").Value;
bool[] selection = null;
if (selCol < mdata.CategoryColumnCount)
{
selection = new bool[mdata.RowCount];
string[][] x = mdata.GetCategoryColumnAt(selCol);
for (int i = 0; i < selection.Length; i++)
{
if (x[i] != null)
{
for (int j = 0; j < x[i].Length; j++)
{
if (x[i][j].Equals(value))
{
selection[i] = true;
break;
}
}
}
}
}
CountingResult result = CountCategories(mdata, selection, selCol, catIndices);
CreateMatrixData(result, mdata, minCount, selection);
}
private static void CreateMatrixData(CountingResult result, IMatrixData data, int minCount, IEnumerable selection)
{
List <string[]> type = new List <string[]>();
List <string[]> name = new List <string[]>();
List <double> count = new List <double>();
List <double> percOfTotal = new List <double>();
List <double> selCount = new List <double>();
List <double> selPerc = new List <double>();
for (int i = 0; i < result.Count; i++)
{
int c = result.GetTotalCountAt(i);
if (c < minCount)
{
continue;
}
type.Add(new[] { result.GetType1At(i) });
name.Add(new[] { result.GetName1At(i) });
count.Add(c);
percOfTotal.Add(Math.Round(10000.0 * c / data.RowCount) / 100.0);
if (selection != null)
{
int c1 = result.GetSelectCountAt(i);
selCount.Add(c1);
selPerc.Add(Math.Round(1000.0 * c1 / c) / 10.0);
}
}
float[,] ex = new float[type.Count, 0];
List <string[][]> catCols = new List <string[][]> {
type.ToArray(), name.ToArray()
};
List <string> catColNames = new List <string>(new[] { "Type", "Name" });
List <double[]> numCols = new List <double[]> {
count.ToArray(), percOfTotal.ToArray()
};
if (selection != null)
{
numCols.Add(selCount.ToArray());
numCols.Add(selPerc.ToArray());
}
List <string> numColNames = new List <string>(new[] { "Count", "Percentage of total" });
if (selection != null)
{
numColNames.AddRange(new[] { "Selection count", "Selection percentage" });
}
data.Name = "Count";
data.ColumnNames = new List <string>();
data.Values.Set(ex);
data.SetAnnotationColumns(new List <string>(), new List <string[]>(), catColNames, catCols, numColNames, numCols,
new List <string>(), new List <double[][]>());
}
private static CountingResult CountCategories(IMatrixData data, bool[] selection, int selCol,
IEnumerable <int> catIndices)
{
CountingResult result = new CountingResult();
foreach (int i in catIndices.Where(i => i != selCol))
{
CountTerms(data.CategoryColumnNames[i], data.GetCategoryColumnAt(i), result, selection);
}
result.Sort();
return(result);
}
private static void CreateMatrixData(CountingResult result, IMatrixData data, int minCount, IEnumerable selection)
{
List<string[]> type = new List<string[]>();
List<string[]> name = new List<string[]>();
List<double> count = new List<double>();
List<double> percOfTotal = new List<double>();
List<double> selCount = new List<double>();
List<double> selPerc = new List<double>();
for (int i = 0; i < result.Count; i++){
int c = result.GetTotalCountAt(i);
if (c < minCount){
continue;
}
type.Add(new[]{result.GetType1At(i)});
name.Add(new[]{result.GetName1At(i)});
count.Add(c);
percOfTotal.Add(Math.Round(10000.0*c/data.RowCount)/100.0);
if (selection != null){
int c1 = result.GetSelectCountAt(i);
selCount.Add(c1);
selPerc.Add(Math.Round(1000.0*c1/c)/10.0);
}
}
float[,] ex = new float[type.Count,0];
List<string[][]> catCols = new List<string[][]>{type.ToArray(), name.ToArray()};
List<string> catColNames = new List<string>(new[]{"Type", "Name"});
List<double[]> numCols = new List<double[]>{count.ToArray(), percOfTotal.ToArray()};
if (selection != null){
numCols.Add(selCount.ToArray());
numCols.Add(selPerc.ToArray());
}
List<string> numColNames = new List<string>(new[]{"Count", "Percentage of total"});
if (selection != null){
numColNames.AddRange(new[]{"Selection count", "Selection percentage"});
}
data.SetData("Count", new List<string>(), ex, new List<string>(), new List<string[]>(), catColNames, catCols,
numColNames, numCols, new List<string>(), new List<double[][]>());
}
private static void CountTerms(string categoryName2, IList<string[]> annot2, CountingResult result,
IList<bool> selection)
{
foreach (string[] t in annot2){
Array.Sort(t);
}
string[] allTerms2 = GetAllTerms(annot2);
int n2 = allTerms2.Length;
int[] allTotal = new int[n2];
int[] selectTotal = new int[n2];
for (int i2 = 0; i2 < n2; i2++){
for (int j = 0; j < annot2.Count; j++){
if (Array.BinarySearch(annot2[j], allTerms2[i2]) >= 0){
allTotal[i2]++;
if (selection != null && selection[j]){
selectTotal[i2]++;
}
}
}
}
result.Add(categoryName2, allTerms2, allTotal, selectTotal);
}
public static CountingResult CountCategories(IMatrixData data, bool[] selection, int selCol, int[] catIndices)
{
CountingResult result = new CountingResult();
foreach (int i in catIndices.Where(i => i != selCol)){
CountTerms(data.CategoryColumnNames[i], data.GetCategoryColumnAt(i), result, selection);
}
result.Sort();
return result;
}
private static void CountTerms(string categoryName2, IList <string[]> annot2, CountingResult result,
IList <bool> selection)
{
foreach (string[] t in annot2)
{
Array.Sort(t);
}
string[] allTerms2 = GetAllTerms(annot2);
int n2 = allTerms2.Length;
int[] allTotal = new int[n2];
int[] selectTotal = new int[n2];
for (int i2 = 0; i2 < n2; i2++)
{
for (int j = 0; j < annot2.Count; j++)
{
if (Array.BinarySearch(annot2[j], allTerms2[i2]) >= 0)
{
allTotal[i2]++;
if (selection != null && selection[j])
{
selectTotal[i2]++;
}
}
}
}
result.Add(categoryName2, allTerms2, allTotal, selectTotal);
}
