/// <summary>
/// Add a node to the TreeView
/// Node Tag points to all the information related to theat node
/// in a class of type 'clsDatasetTreeNode'
/// </summary>
/// <param name="mdataNode"></param>
private void AddDataNode(clsDatasetTreeNode mdataNode)
{
TreeNode tn;
if ((mtabControlData.Controls.Count == 0) &&
(mhtDatasets.ContainsKey("Expressions") ||
mhtDatasets.ContainsKey("Protein Info") ||
mhtDatasets.ContainsKey("Factors")))
{
#region Add Controls on tab page
var dataGridTab = new ucDataGridView();
this.ctltabPage = new TabPage();
this.mtabControlData.Controls.Add(this.ctltabPage);
this.ctltabPage.Name = "ctltabPageData";
this.ctltabPage.Controls.Add(dataGridTab);
dataGridTab.Dock = System.Windows.Forms.DockStyle.Fill;
#endregion
}
if (mdataNode.mDTable == null)
{
return;
}
//mdataNode.mDTable.rea
if ((tn = GetNode(mdataNode.mstrDataText)) == null)
{
this.ctltabPage.TabIndex = 0;
this.ctltabPage.Text = mdataNode.mstrDataText;
((ucDataGridView)this.ctltabPage.Controls[0]).SetDataSource = mdataNode.mDTable;
if (mdataNode.mblAddDGridCtxtMnu)
((ucDataGridView)this.ctltabPage.Controls[0]).CxMenu = mCntxtMnuGrid;
if (mdataNode.mblAddTVCtxtMnu)
mdataNode.mTNode.ContextMenuStrip = mContextMenuTreeV;
if (mdataNode.mstrParentNode.Equals("DAnTE"))
ctltreeView.Nodes[0].Nodes.Add(mdataNode.mTNode);
else
{
var mtnParent = (mhtDatasets[mdataNode.mstrParentNode]).mTNode;
mtnParent.Nodes.Add(mdataNode.mTNode);
}
ctltreeView.ExpandAll();
ctltreeView.SelectedNode = mdataNode.mTNode;
this.statusBarPanelMsg.Text = mdataNode.mstrMessage;
this.statusBarPanelRowNum.Text = mdataNode.mDTable.Rows.Count + " Rows/" +
mdataNode.mDTable.Columns.Count + " Columns.";
mdataNode.mTNode.Tag = mdataNode;
}
else
{
tn.Tag = mdataNode;
ctltreeView.SelectedNode = tn;
NodeSelect(tn);
}
}
private void SaveTableWithProteinIDs(clsDatasetTreeNode selectedTable, FileInfo outputFile)
{
// Write out the current dataset, but with the the protein info included
var currentDataset = mhtDatasets[selectedTable.mstrDataText];
var proteinDataset = mhtDatasets["Protein Info"];
// Store the proteins in a dictionary so that we can quickly lookup the info
// Keys are row_id, values are Lists of protein names
var proteinList = new Dictionary<string, List<string>>();
foreach (DataRow row in proteinDataset.mDTable.Rows)
{
// Column 0 is Row_ID
// Column 1 is ProteinID
var rowID = row[0].ToString();
var proteinID = row[1].ToString();
if (string.IsNullOrWhiteSpace(rowID) || string.IsNullOrWhiteSpace(proteinID))
continue;
List<string> proteinsForRow;
if (proteinList.TryGetValue(rowID, out proteinsForRow))
{
proteinsForRow.Add(proteinID);
}
else
{
proteinsForRow = new List<string>
{
proteinID
};
proteinList.Add(rowID, proteinsForRow);
}
}
const bool quoteAll = false;
var tabDelimited = outputFile.Extension.ToLower() == ".txt";
using (var writer = new StreamWriter(new FileStream(outputFile.FullName, FileMode.Create, FileAccess.Write, FileShare.Read)))
{
var columnCount = currentDataset.mDTable.Columns.Count;
var rowData = new List<string>(columnCount);
for (var i = 0; i < columnCount; i++)
{
rowData.Add(currentDataset.mDTable.Columns[i].Caption);
// Add the ProteinID just after the first column
if (i == 0)
rowData.Add("ProteinID");
}
CsvWriter.WriteRow(writer, rowData, quoteAll, tabDelimited);
foreach (DataRow row in currentDataset.mDTable.Rows)
{
var rowID = row[0].ToString();
List<string> proteinsForRow;
if (!proteinList.TryGetValue(rowID, out proteinsForRow))
{
proteinsForRow = new List<string>
{
"Undefined"
};
}
foreach (var proteinID in proteinsForRow)
{
rowData.Clear();
for (var j = 0; j < columnCount; j++)
{
var itemText = string.Empty;
if (row[j] != null)
{
itemText = row[j].ToString();
}
rowData.Add(itemText);
// Add the ProteinID just after the first column
if (j == 0)
rowData.Add(proteinID);
}
CsvWriter.WriteRow(writer, rowData, quoteAll, tabDelimited);
}
}
this.statusBarPanelMsg.Text = "File saved successfully.";
}
}
private void AddDataset2HashTable(DataTable mDT)
{
var mstrRdataset = mDT.TableName;
var mclsDataset = new clsDatasetTreeNode
{
mDTable = mDT
};
switch (mstrRdataset)
{
case "Eset":
#region Eset
mclsDataset.mTNode = new TreeNode("Expressions", 1, 2);
mclsDataset.mstrDataText = "Expressions";
mclsDataset.mstrMessage = "Expression values selected.";
mclsDataset.mstrRdatasetName = "Eset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Expressions"))
mhtDatasets["Expressions"] = mclsDataset;
else
mhtDatasets.Add("Expressions", mclsDataset);
if (!mhtDatasets.ContainsKey("Factors"))
DatasetFactorInfo(mDT, false);
break;
#endregion
case "ProtInfo":
#region ProtInfo
mclsDataset.mTNode = new TreeNode("Protein Info", 3, 4);
mclsDataset.mstrDataText = "Protein Info";
mclsDataset.mstrMessage = "Protein Info selected.";
mclsDataset.mstrRdatasetName = "ProtInfo";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Protein Info"))
mhtDatasets["Protein Info"] = mclsDataset;
else
mhtDatasets.Add("Protein Info", mclsDataset);
break;
#endregion
case "factors":
#region Factors
mclsDataset.mTNode = new TreeNode("Factors", 3, 4);
mclsDataset.mstrDataText = "Factors";
mclsDataset.mstrMessage = "Factors selected.";
mclsDataset.mstrRdatasetName = "factors";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Factors"))
mhtDatasets["Factors"] = mclsDataset;
else
mhtDatasets.Add("Factors", mclsDataset);
marrDatasetInfo.Clear();
DatasetFactorInfo(mDT, true);
break;
#endregion
case "logEset":
#region logEset
mclsDataset.mTNode = new TreeNode("Log Expressions", 1, 2);
mclsDataset.mstrDataText = "Log Expressions";
mclsDataset.mstrMessage = "Log Expressions selected.";
mclsDataset.mstrRdatasetName = "logEset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Log Expressions"))
mhtDatasets["Log Expressions"] = mclsDataset;
else
mhtDatasets.Add("Log Expressions", mclsDataset);
break;
#endregion
case "loessData":
#region loessData
mclsDataset.mTNode = new TreeNode("LOESS Data", 1, 2);
mclsDataset.mstrDataText = "LOESS Data";
mclsDataset.mstrMessage = "LOESS Data selected.";
mclsDataset.mstrRdatasetName = "loessData";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("LOESS Data"))
mhtDatasets["LOESS Data"] = mclsDataset;
else
mhtDatasets.Add("LOESS Data", mclsDataset);
break;
#endregion
case "quaNormEset":
#region quaNormEset
mclsDataset.mTNode = new TreeNode("Quantile Normalized", 1, 2);
mclsDataset.mstrDataText = "Quantile Normalized";
mclsDataset.mstrMessage = "Quantile normalized data selected.";
mclsDataset.mstrRdatasetName = "quaNormEset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Quantile Normalized"))
mhtDatasets["Quantile Normalized"] = mclsDataset;
else
mhtDatasets.Add("Quantile Normalized", mclsDataset);
break;
#endregion
case "meanCEset":
#region MeanCEset
mclsDataset.mTNode = new TreeNode("Mean Centered", 1, 2);
mclsDataset.mstrDataText = "Mean Centered";
mclsDataset.mstrMessage = "Mean centered data selected.";
mclsDataset.mstrRdatasetName = "meanCEset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Mean Centered"))
mhtDatasets["Mean Centered"] = mclsDataset;
else
mhtDatasets.Add("Mean Centered", mclsDataset);
break;
#endregion
case "medianCEset":
#region MedianCEset
mclsDataset.mTNode = new TreeNode("Median Centered", 1, 2);
mclsDataset.mstrDataText = "Median Centered";
mclsDataset.mstrMessage = "Median centered data selected.";
mclsDataset.mstrRdatasetName = "medianCEset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Median Centered"))
mhtDatasets["Median Centered"] = mclsDataset;
else
mhtDatasets.Add("Median Centered", mclsDataset);
break;
#endregion
case "madEset":
#region madEset
mclsDataset.mTNode = new TreeNode("MAD Adjusted", 1, 2);
mclsDataset.mstrDataText = "MAD Adjusted";
mclsDataset.mstrMessage = "MAD Adjusted data selected.";
mclsDataset.mstrRdatasetName = "madEset";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("MAD Adjusted"))
mhtDatasets["MAD Adjusted"] = mclsDataset;
else
mhtDatasets.Add("MAD Adjusted", mclsDataset);
break;
#endregion
case "linregData":
#region linregData
mclsDataset.mTNode = new TreeNode("Linear Regressed", 1, 2);
mclsDataset.mstrDataText = "Linear Regressed";
mclsDataset.mstrMessage = "Linear Regressed Data selected.";
mclsDataset.mstrRdatasetName = "linregData";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Linear Regressed"))
mhtDatasets["Linear Regressed"] = mclsDataset;
else
mhtDatasets.Add("Linear Regressed", mclsDataset);
break;
#endregion
case "imputedData":
#region imputedData
mclsDataset.mTNode = new TreeNode("Imputed Data", 1, 2);
mclsDataset.mstrDataText = "Imputed Data";
mclsDataset.mstrMessage = "Imputed Data selected.";
mclsDataset.mstrRdatasetName = "imputedData";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
if (mhtDatasets.ContainsKey("Imputed Data"))
mhtDatasets["Imputed Data"] = mclsDataset;
else
mhtDatasets.Add("Imputed Data", mclsDataset);
break;
#endregion
case "mergedData":
#region mergedData
mclsDataset.mTNode = new TreeNode("Merged Data", 1, 2);
mclsDataset.mstrDataText = "Merged Data";
mclsDataset.mstrMessage = "Merged Data selected.";
mclsDataset.mstrRdatasetName = "mergedData";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Merged Data"))
mhtDatasets["Merged Data"] = mclsDataset;
else
mhtDatasets.Add("Merged Data", mclsDataset);
break;
#endregion
case "pData11":
#region pData11 (RRollup)
mclsDataset.mTNode = new TreeNode("RRollup", 1, 2);
mclsDataset.mstrDataText = "RRollup";
mclsDataset.mstrMessage = "RRollup selected.";
mclsDataset.mstrRdatasetName = "pData11";
mclsDataset.mstrRProtDatasetName = @"pScaled1"",""pData1";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("RRollup"))
mhtDatasets["RRollup"] = mclsDataset;
else
mhtDatasets.Add("RRollup", mclsDataset);
break;
#endregion
case "sData1":
#region sData1 (RRollup)
mclsDataset.mTNode = new TreeNode("ScaledData", 1, 2);
mclsDataset.mstrDataText = "ScaledData";
mclsDataset.mstrMessage = "Scaled data selected.";
mclsDataset.mstrRdatasetName = "sData1";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
mclsDataset.mstrParentNode = "RRollup";
if (mhtDatasets.ContainsKey("ScaledData"))
mhtDatasets["ScaledData"] = mclsDataset;
else
mhtDatasets.Add("ScaledData", mclsDataset);
break;
#endregion
case "orData1":
#region orData1 (RRollup)
mclsDataset.mTNode = new TreeNode("OutliersRemoved", 1, 2);
mclsDataset.mstrDataText = "OutliersRemoved";
mclsDataset.mstrMessage = "Outliers removed data selected.";
mclsDataset.mstrRdatasetName = "orData1";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
mclsDataset.mstrParentNode = "RRollup";
if (mhtDatasets.ContainsKey("OutliersRemoved"))
mhtDatasets["OutliersRemoved"] = mclsDataset;
else
mhtDatasets.Add("OutliersRemoved", mclsDataset);
break;
#endregion
case "pData22":
#region pData2 (ZRollup)
mclsDataset.mTNode = new TreeNode("ZRollup", 1, 2);
mclsDataset.mstrDataText = "ZRollup";
mclsDataset.mstrMessage = "ZRollup selected.";
mclsDataset.mstrRdatasetName = "pData22";
mclsDataset.mstrRProtDatasetName = @"pScaled2"",""pData2";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("ZRollup"))
mhtDatasets["ZRollup"] = mclsDataset;
else
mhtDatasets.Add("ZRollup", mclsDataset);
break;
#endregion
case "qrollupP1":
#region QRollupP1
mclsDataset.mTNode = new TreeNode("QRollup", 1, 2);
mclsDataset.mstrDataText = "QRollup";
mclsDataset.mstrMessage = "QRollup selected.";
mclsDataset.mstrRdatasetName = "qrollupP1";
mclsDataset.mstrRProtDatasetName = "qrollupP";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("QRollup"))
mhtDatasets["QRollup"] = mclsDataset;
else
mhtDatasets.Add("QRollup", mclsDataset);
break;
#endregion
case "PCAweights":
#region PCA weights
mclsDataset.mTNode = new TreeNode("PCA Weights", 3, 4);
mclsDataset.mstrDataText = "PCA Weights";
mclsDataset.mstrMessage = "PCA Weights selected.";
mclsDataset.mstrRdatasetName = "PCAweights";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("PCA Weights"))
mhtDatasets["PCA Weights"] = mclsDataset;
else
mhtDatasets.Add("PCA Weights", mclsDataset);
break;
#endregion
case "PLSweights":
#region PCA weights
mclsDataset.mTNode = new TreeNode("PLS Weights", 3, 4);
mclsDataset.mstrDataText = "PLS Weights";
mclsDataset.mstrMessage = "PLS Weights selected.";
mclsDataset.mstrRdatasetName = "PLSweights";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("PLS Weights"))
mhtDatasets["PLS Weights"] = mclsDataset;
else
mhtDatasets.Add("PLS Weights", mclsDataset);
break;
#endregion
case "clusterResults":
#region PCA weights
mclsDataset.mTNode = new TreeNode("Heatmap Clusters", 3, 4);
mclsDataset.mstrDataText = "Heatmap Clusters";
mclsDataset.mstrMessage = "Heatmap Clusters selected.";
mclsDataset.mstrRdatasetName = "clusterResults";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Heatmap Clusters"))
mhtDatasets["Heatmap Clusters"] = mclsDataset;
else
mhtDatasets.Add("Heatmap Clusters", mclsDataset);
break;
#endregion
case "pvalues":
#region p-values
mclsDataset.mTNode = new TreeNode("p-Values", 3, 4);
mclsDataset.mstrDataText = "p-Values";
mclsDataset.mstrMessage = "p-Values selected.";
mclsDataset.mstrRdatasetName = "pvalues";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("p-Values"))
mhtDatasets["p-Values"] = mclsDataset;
else
mhtDatasets.Add("p-Values", mclsDataset);
break;
#endregion
case "yimputed":
#region yimputed
mclsDataset.mTNode = new TreeNode("Imputed Values", 1, 2);
mclsDataset.mstrDataText = "Imputed Values";
mclsDataset.mstrMessage = "Imputed Values selected.";
mclsDataset.mstrRdatasetName = "yimputed";
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = true;
mclsDataset.mblIsNumeric = true;
mclsDataset.mblIsPlottable = true;
mclsDataset.mblRollupPossible = true;
if (mhtDatasets.ContainsKey("Imputed Values"))
mhtDatasets["Imputed Values"] = mclsDataset;
else
mhtDatasets.Add("Imputed Values", mclsDataset);
break;
#endregion
case "notused":
#region Unused data for ANOVA
mclsDataset.mTNode = new TreeNode("Unused Data", 3, 4);
mclsDataset.mstrDataText = "Unused Data";
mclsDataset.mstrMessage = "Unused Data selected.";
mclsDataset.mstrRdatasetName = "notused";
mclsDataset.mstrParentNode = "p-Values";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = true;
mclsDataset.mblIsPlottable = true;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Unused Data"))
mhtDatasets["Unused Data"] = mclsDataset;
else
mhtDatasets.Add("Unused Data", mclsDataset);
break;
#endregion
case "foldChanges":
#region Fold Changes
mclsDataset.mTNode = new TreeNode("Fold Changes", 3, 4);
mclsDataset.mstrDataText = "Fold Changes";
mclsDataset.mstrMessage = "Fold Changes selected.";
mclsDataset.mstrRdatasetName = "foldChanges";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Fold Changes"))
mhtDatasets["Fold Changes"] = mclsDataset;
else
mhtDatasets.Add("Fold Changes", mclsDataset);
break;
#endregion
case "patternData":
#region Pattern Search
mclsDataset.mTNode = new TreeNode("Pattern Corr", 3, 4);
mclsDataset.mstrDataText = "Pattern Corr";
mclsDataset.mstrMessage = "Pattern Correlations selected.";
mclsDataset.mstrRdatasetName = "patternData";
mclsDataset.mblAddDGridCtxtMnu = false;
mclsDataset.mblAddTVCtxtMnu = false;
mclsDataset.mblIsNumeric = false;
mclsDataset.mblIsPlottable = false;
mclsDataset.mblRollupPossible = false;
if (mhtDatasets.ContainsKey("Pattern Corr"))
mhtDatasets["Pattern Corr"] = mclsDataset;
else
mhtDatasets.Add("Pattern Corr", mclsDataset);
break;
#endregion
default:
#region All other tables (filteredData)
if (mstrRdataset.Contains("filteredData"))
{
var setNum = mstrRdataset.Substring(12);
var nodeTxt = "Filtered Data" + setNum;
mclsDataset.mTNode = new TreeNode(nodeTxt, 1, 2);
mclsDataset.mstrDataText = nodeTxt;
mclsDataset.mstrMessage = "Filtered Data selected.";
mclsDataset.mstrRdatasetName = mstrRdataset;
mclsDataset.mblAddDGridCtxtMnu = true;
mclsDataset.mblAddTVCtxtMnu = false;
if (mhtDatasets.ContainsKey(nodeTxt))
mhtDatasets[nodeTxt] = mclsDataset;
else
mhtDatasets.Add(nodeTxt, mclsDataset);
}
break;
#endregion
}
}
private bool ValidateNodeIsSelected(clsDatasetTreeNode selectedNode)
{
if (selectedNode == null)
{
MessageBox.Show("Data not loaded (or data table not selected)", "Nothing to do", MessageBoxButtons.OK, MessageBoxIcon.Information);
return false;
}
return true;
}
private bool ValidateIsPlottable(clsDatasetTreeNode mclsSelected, int minimumColCount = 1)
{
if (!mclsSelected.mblIsPlottable)
{
MessageBox.Show("Table '" + mclsSelected.mstrDataText + "' does not contain data that can be plotted. Please select a different table from the list", "Invalid table");
return false;
}
if (minimumColCount > 1 && mclsSelected.mDTable.Columns.Count < minimumColCount)
{
MessageBox.Show("Table '" + mclsSelected.mstrDataText + "' cannot be plotted; it must have at least " + minimumColCount + " columns of data", "Not enough columns");
return false;
}
return true;
}
private bool ValidateDataMatrixTableSelected(clsDatasetTreeNode mclsSelected, bool checkColumnCount = false)
{
if (mclsSelected == null)
{
MessageBox.Show("Please select a numeric data table from the list", "Invalid table");
return false;
}
if (mclsSelected.mDTable == null)
{
MessageBox.Show("Please select a numeric data table from the list", "Invalid table");
return false;
}
if (!mclsSelected.mblIsNumeric)
{
MessageBox.Show("Table '" + mclsSelected.mstrDataText + "' does not contain a matrix of numeric data. Please select a different table from the list", "Invalid table");
return false;
}
if (checkColumnCount)
{
var numCols = mclsSelected.mDTable.Columns.Count - 1;
if (numCols <= 0)
{
MessageBox.Show("Table '" + mclsSelected.mstrDataText + "' must have at least 2 columns of data", "Invalid table");
return false;
}
}
return true;
}
