private DataTable RProteinArray2DataTable(clsRarray rArray)
{
var matrix = rArray.matrix;
var rowNames = rArray.rowNames;
var colHeaders = rArray.colHeaders;
var dataTable = new DataTable();
var dataColumn1 = new DataColumn
{
DataType = Type.GetType("System.String"),
ColumnName = clsRarray.rowNamesID
};
dataTable.Columns.Add(dataColumn1);
foreach (var columnName in colHeaders)
{
var dataColumn = new DataColumn
{
DataType = Type.GetType("System.Double"),
ColumnName = columnName
};
dataTable.Columns.Add(dataColumn);
}
CopyMatrixDataToTable(matrix, dataTable, rowNames);
// return clsDataTable.ClearZeros(mdatatable);
return(dataTable);
}
public clsRconnect()
{
Message = null;
_rcmd = "";
_mRarray = new clsRarray();
DataTable = new DataTable();
}
public clsRconnect()
{
Message = null;
_rcmd = "";
_mRarray = new clsRarray();
DataTable = new DataTable();
}
private DataTable RDoubleVector2DataTable(clsRarray mRary)
{
var matrix = mRary.matrix;
var rowNames = mRary.rowNames;
var colHeaders = mRary.colHs;
var mdatatable = new DataTable();
DataColumn mDataColumn;
DataRow mDataRow;
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.String");
mDataColumn.ColumnName = clsRarray.rowNamesID;
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.Double");
mDataColumn.ColumnName = colHeaders;
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
for (var i = 0; i < matrix.GetLength(0); i++)
{
mDataRow = mdatatable.NewRow();
mDataRow[0] = rowNames[i];
for (var j = 0; j < matrix.GetLength(1); j++)
{
mDataRow[j + 1] = matrix[i, j];
}
mdatatable.Rows.Add(mDataRow);
}
//return clsDataTable.ClearZeros(mdatatable);
return(clsDataTable.ReplaceMissing(mdatatable));
}
private DataTable RDoubleVector2DataTable(clsRarray rArray)
{
var matrix = rArray.matrix;
var rowNames = rArray.rowNames;
var colHeaders = rArray.colHs;
var dataTable = new DataTable();
var dataColumn1 = new DataColumn
{
DataType = Type.GetType("System.String"),
ColumnName = clsRarray.rowNamesID
};
dataTable.Columns.Add(dataColumn1);
var dataColumn2 = new DataColumn
{
DataType = Type.GetType("System.Double"),
ColumnName = colHeaders
};
dataTable.Columns.Add(dataColumn2);
CopyMatrixDataToTable(matrix, dataTable, rowNames);
// return clsDataTable.ClearZeros(dataTable);
return(dataTable);
}
public bool GetTableFromRProtInfoMatrix(string varName)
{
try
{
_rcmd = "X<-sendmatrix(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Headers<-colnames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Rows<-rownames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
var matrix = _rdn.GetSymbolAsStringMatrix("X");
var colheaders = _rdn.GetSymbolAsStrings("Headers");
var rownames = _rdn.GetSymbolAsStrings("Rows");
var rArray = new clsRarray(matrix, rownames, colheaders);
DataTable = RproteinInfoArray2DataTable(rArray);
return(true);
}
catch (Exception e)
{
var errmsg = _rcmd + " " + e.Message;
Console.WriteLine(errmsg);
Message = e.Message;
return(false);
}
}
public bool GetTableFromRvector(string varName)
{
try
{
_rcmd = "X<-sendmatrix(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Headers<-colnames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Rows<-rownames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
var matrix = _rdn.GetSymbolAsNumberMatrix("X");
var colheaders = _rdn.GetSymbolAsStrings("Headers");
var rownames = _rdn.GetSymbolAsStrings("Rows");
var rowH = rownames;
var colH = colheaders[0];
var rArray = new clsRarray(matrix, rowH, colH);
DataTable.Clear();
DataTable = RDoubleVector2DataTable(rArray);
return(true);
}
catch (Exception e)
{
var errmsg = _rcmd + " " + e.Message;
Console.WriteLine(errmsg);
Message = e.Message;
return(false);
}
}
private clsRarray DataTable2RstrArray(DataTable mTable)
{
var matrix = new string[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
string cellValue = null;
var mRary = new clsRarray();
var typerror = false;
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (typerror)
{
break;
}
if (col > 0) //Start from 2nd column
{
colHeaders[col - 1] = mTable.Columns[col].ToString();
}
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (typerror)
{
break;
}
if (col == 0) //Mass Tags
{
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
}
else // string data
{
cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0) //not an empty cell
{
matrix[row, col - 1] = cellValue;
}
else
{
matrix[row, col - 1] = "NA";
}
}
}
}
if (!typerror)
{
mRary.rowNames = rowNames;
mRary.colHeaders = colHeaders;
mRary.mstrMatrix = matrix;
}
else
{
_mRarray = null;
}
return(mRary);
}
private clsRarray DataTable2RstrArray(DataTable mTable)
{
var matrix = new string[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
var rArray = new clsRarray();
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (col > 0) //Start from 2nd column
{
colHeaders[col - 1] = mTable.Columns[col].ToString();
}
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (col == 0)
{
//Mass Tags
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
}
else
{
// string data
var cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0) //not an empty cell
{
matrix[row, col - 1] = cellValue;
}
else
{
matrix[row, col - 1] = "NA";
}
}
}
}
rArray.rowNames = rowNames;
rArray.colHeaders = colHeaders;
rArray.mstrMatrix = matrix;
return(rArray);
}
private DataTable RproteinInfoArray2DataTable(clsRarray mRary)
{
string[,] matrix;
matrix = mRary.mstrMatrix;
var rowNames = mRary.rowNames;
var colHeaders = mRary.colHeaders;
var mdatatable = new DataTable();
DataColumn mDataColumn;
DataRow mDataRow;
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.String");
mDataColumn.ColumnName = clsRarray.rowNamesID;
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
for (var i = 0; i < colHeaders.Length; i++)
{
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.String");
//if (i == 0)
// mDataColumn.DataType = System.Type.GetType("System.Double");
//else
// mDataColumn.DataType = System.Type.GetType("System.String");
mDataColumn.ColumnName = colHeaders[i];
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
}
for (var i = 0; i < matrix.GetLength(0); i++)
{
mDataRow = mdatatable.NewRow();
mDataRow[0] = rowNames[i];
for (var j = 0; j < matrix.GetLength(1); j++)
{
mDataRow[j + 1] = matrix[i, j];
}
mdatatable.Rows.Add(mDataRow);
}
//return clsDataTable.ClearZeros(mdatatable);
return(mdatatable);
}
private DataTable RproteinInfoArray2DataTable(clsRarray rArray)
{
var matrix = rArray.mstrMatrix;
var rowNames = rArray.rowNames;
var colHeaders = rArray.colHeaders;
var dataTable = new DataTable();
var dataColumn1 = new DataColumn
{
DataType = Type.GetType("System.String"),
ColumnName = clsRarray.rowNamesID
};
dataTable.Columns.Add(dataColumn1);
foreach (var columnName in colHeaders)
{
var dataColumn = new DataColumn
{
DataType = Type.GetType("System.String"),
ColumnName = columnName
};
dataTable.Columns.Add(dataColumn);
}
for (var i = 0; i < matrix.GetLength(0); i++)
{
var dataRow = dataTable.NewRow();
dataRow[0] = rowNames[i];
for (var j = 0; j < matrix.GetLength(1); j++)
{
dataRow[j + 1] = matrix[i, j];
}
dataTable.Rows.Add(dataRow);
}
//return clsDataTable.ClearZeros(mdatatable);
return(dataTable);
}
private DataTable RstrArray2DataTable(clsRarray mRary)
{
var matrix = mRary.mstrMatrix;
var rowNames = mRary.rowNames;
var colHeaders = mRary.colHeaders;
var mdatatable = new DataTable();
DataColumn mDataColumn;
DataRow mDataRow;
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.String");
mDataColumn.ColumnName = clsRarray.rowNamesID;
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
for (var i = 0; i < colHeaders.Length; i++)
{
mDataColumn = new DataColumn();
mDataColumn.DataType = System.Type.GetType("System.String");
mDataColumn.ColumnName = colHeaders[i];
//mDataColumn.ReadOnly = true ;
mdatatable.Columns.Add(mDataColumn);
}
for (var i = 0; i < matrix.GetLength(0); i++)
{
mDataRow = mdatatable.NewRow();
mDataRow[0] = rowNames[i];
for (var j = 0; j < matrix.GetLength(1); j++)
{
mDataRow[j + 1] = matrix[i, j];
}
mdatatable.Rows.Add(mDataRow);
}
//return clsDataTable.ClearZeros(mdatatable);
return mdatatable;
}
private clsRarray DataTable2RstrArray(DataTable mTable)
{
var matrix = new string[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
string cellValue = null;
var mRary = new clsRarray();
var typerror = false;
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (typerror)
break;
if (col > 0) //Start from 2nd column
colHeaders[col - 1] = mTable.Columns[col].ToString();
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (typerror)
break;
if (col == 0) //Mass Tags
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
else // string data
{
cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0) //not an empty cell
matrix[row, col - 1] = cellValue;
else
matrix[row, col - 1] = "NA";
}
}
}
if (!typerror)
{
mRary.rowNames = rowNames;
mRary.colHeaders = colHeaders;
mRary.mstrMatrix = matrix;
}
else
{
_mRarray = null;
}
return mRary;
}
private clsRarray DataTable2Rarray(DataTable mTable)
{
var matrix = new double[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
var mRary = new clsRarray();
var typerror = false;
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (typerror)
break;
if (col > 0) //Start from 2nd column
colHeaders[col - 1] = mTable.Columns[col].ToString();
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (typerror)
break;
if (col == 0) //Mass Tags
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
else // numeric data
{
var cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0) //not an empty cell
try
{
matrix[row, col - 1] = Convert.ToDouble(cellValue, NumberFormatInfo.InvariantInfo);
}
catch (FormatException ex)
{
MessageBox.Show("Invalid data type. Check for example, " +
"if you have text strings mixed with numerical data.\n\nError:" +
ex.Message, "File type error", MessageBoxButtons.OK,
MessageBoxIcon.Error);
typerror = true;
}
else
matrix[row, col - 1] = 0;
}
}
}
if (!typerror)
{
mRary.rowNames = rowNames;
mRary.colHeaders = colHeaders;
mRary.matrix = matrix;
}
else
{
_mRarray = null;
}
return mRary;
}
public bool GetTableFromRvector(string varName)
{
clsRarray mRarr;
try
{
_rcmd = "X<-sendmatrix(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Headers<-colnames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Rows<-rownames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
var matrix = _rdn.GetSymbolAsNumberMatrix("X");
var colheaders = _rdn.GetSymbolAsStrings("Headers");
var rownames = _rdn.GetSymbolAsStrings("Rows");
var rowH = rownames as string[];
var colH = colheaders[0];
mRarr = new clsRarray(((double[,])matrix), rowH, colH);
DataTable.Clear();
DataTable = RDoubleVector2DataTable(mRarr);
return true;
}
catch (Exception e)
{
var errmsg = _rcmd + " " + e.Message;
Console.WriteLine(errmsg);
Message = e.Message;
return false;
}
}
public bool GetTableFromRProtInfoMatrix(string varName)
{
clsRarray mRarr;
try
{
_rcmd = "X<-sendmatrix(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Headers<-colnames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
_rcmd = "Rows<-rownames(" + varName + ")";
_rdn.EvaluateNoReturn(_rcmd);
var matrix = _rdn.GetSymbolAsStringMatrix("X");
var colheaders = _rdn.GetSymbolAsStrings("Headers");
var rownames = _rdn.GetSymbolAsStrings("Rows");
//mRarr = new clsRarray(matrix, rownames, colheaders);
////var m = ConvertZ(matrix);
mRarr = new clsRarray(matrix, (string[])rownames, (string[])colheaders);
DataTable = RproteinInfoArray2DataTable(mRarr);
return true;
}
catch (Exception e)
{
var errmsg = _rcmd + " " + e.Message;
Console.WriteLine(errmsg);
Message = e.Message;
return false;
}
}
private clsRarray DataTable2Rarray(DataTable mTable, string varName)
{
var matrix = new double[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
var rArray = new clsRarray();
var typerror = false;
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (col > 0)
{
// Populate colHeaders with the user-supplied headers, starting with the second column
// The header for the first column is always Row_ID
colHeaders[col - 1] = mTable.Columns[col].ToString();
}
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (col == 0)
{
// Row identifier, typically the MassTagID (an integer), but can be a peptide sequence or any string
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
}
else
{
// numeric data
var cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0)
{
//not an empty cell
try
{
matrix[row, col - 1] = Convert.ToDouble(cellValue, NumberFormatInfo.InvariantInfo);
}
catch (FormatException)
{
var errMsg = string.Format("Invalid data, '{0}' is not numeric in dataset {1}",
cellValue, varName);
MessageBox.Show(errMsg, "Loading error", MessageBoxButtons.OK,
MessageBoxIcon.Error);
typerror = true;
}
}
else
{
// Empty cell
matrix[row, col - 1] = 0;
}
}
if (typerror)
{
break;
}
}
if (typerror)
{
break;
}
}
if (typerror)
{
return(rArray);
}
rArray.rowNames = rowNames;
rArray.colHeaders = colHeaders;
rArray.matrix = matrix;
return(rArray);
}
private clsRarray DataTable2Rarray(DataTable mTable)
{
var matrix = new double[mTable.Rows.Count, mTable.Columns.Count - 1];
var rowNames = new string[mTable.Rows.Count];
var colHeaders = new string[mTable.Columns.Count - 1];
var mRary = new clsRarray();
var typerror = false;
//DataColumnCollection columnHeaders = mTable.Columns ;
for (var col = 0; col < mTable.Columns.Count; col++)
{
if (typerror)
{
break;
}
if (col > 0) //Start from 2nd column
{
colHeaders[col - 1] = mTable.Columns[col].ToString();
}
for (var row = 0; row < mTable.Rows.Count; row++)
{
if (typerror)
{
break;
}
if (col == 0) //Mass Tags
{
rowNames[row] = mTable.Rows[row].ItemArray[0].ToString();
}
else // numeric data
{
var cellValue = mTable.Rows[row].ItemArray[col].ToString();
if (cellValue.Length > 0) //not an empty cell
{
try
{
matrix[row, col - 1] = Convert.ToDouble(cellValue, NumberFormatInfo.InvariantInfo);
}
catch (FormatException ex)
{
MessageBox.Show("Invalid data type. Check for example, " +
"if you have text strings mixed with numerical data.\n\nError:" +
ex.Message, "File type error", MessageBoxButtons.OK,
MessageBoxIcon.Error);
typerror = true;
}
}
else
{
matrix[row, col - 1] = 0;
}
}
}
}
if (!typerror)
{
mRary.rowNames = rowNames;
mRary.colHeaders = colHeaders;
mRary.matrix = matrix;
}
else
{
_mRarray = null;
}
return(mRary);
}