private void listBox1_SelectedIndexChanged(object sender, EventArgs e)
{
_smi = listBox1.SelectedIndex;
if (_smi != _pmi)
{
if (_pmi == -1)
{
_state = _mlrState.clean;
}
else
{
_state = _mlrState.dirty;
}
_pmi = _smi;
}
else
{
_state = _mlrState.clean;
}
listView1.Items.Clear();
listView2.Items.Clear();
int idx = listBox1.SelectedIndex;
MLRIndividual ind = (MLRIndividual)_list[idx];
_selectedModelIndex = idx;
//tell the main form to enable the model save/saveas menu selection buttons
OnModelSelected(null);
string[] item = null;
ListViewItem lvi = null;
int numColumns = ind.Parameters.Columns.Count;
for (int i = 0; i < ind.Parameters.Rows.Count; i++)
{
item = new string[numColumns];
item[0] = ind.Parameters.Rows[i][0].ToString();
item[1] = formatNumber((double)ind.Parameters.Rows[i][1]);
item[2] = formatNumber((double)ind.Parameters.Rows[i][2]);
item[3] = formatNumber((double)ind.Parameters.Rows[i][3]);
item[4] = formatNumber((double)ind.Parameters.Rows[i][4]);
item[5] = formatNumber((double)ind.Parameters.Rows[i][5]);
lvi = new ListViewItem(item);
listView1.Items.Add(lvi);
}
DataTable dt = _projMgr.ModelDataTable;
int numRecords = dt.Rows.Count;
if (numRecords != ind.PredictedValues.Length)
return;
List<double[]> data = new List<double[]>();
double[] record = null;
for (int i = 0; i < numRecords; i++)
{
record = new double[2];
record[0] = Convert.ToDouble(dt.Rows[i][1].ToString());
record[1] = ind.PredictedValues[i];
data.Add(record);
}
//for plotting xyplot when transform radio buttons changed
_XYPlotdata = data;
item = new string[2];
item[0] = "R Squared";
item[1] = String.Format("{0:F4}", ind.R2);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Adjusted R Squared";
item[1] = String.Format("{0:F4}", ind.AdjustedR2);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Akaike Information Criterion";
item[1] = String.Format("{0:F4}", ind.AIC);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Corrected AIC";
item[1] = String.Format("{0:F4}", ind.AICC);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Bayesian Info Criterion";
item[1] = String.Format("{0:F4}", ind.BIC);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "PRESS";
item[1] = String.Format("{0:F4}", ind.Press);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "RMSE";
item[1] = String.Format("{0:F4}", ind.RMSE);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
if ((ind.DecisionThreshold != Double.NaN) && (ind.MandatedThreshold != Double.NaN))
{
item = new string[2];
item[0] = "";
item[1] = "";
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Decision Criterion";
item[1] = string.Format("{0:F4}", ind.DecisionThreshold);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Regulatory Standard";
item[1] = string.Format("{0:F4}", ind.MandatedThreshold);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
ModelErrorCounts mec = new ModelErrorCounts();
mec.getCounts(ind.DecisionThreshold, ind.MandatedThreshold, ind.PredictedValues, ind.ObservedValues);
int fp = mec.FPCount;
int fn = mec.FNCount;
item = new string[2];
item[0] = "False Positives";
item[1] = string.Format("{0:n}", fp);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Specificity";
item[1] = String.Format("{0:F4}", ind.Specificity);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "False Negatives";
item[1] = string.Format("{0:n}", fn);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Sensitivity";
item[1] = String.Format("{0:F4}", ind.Sensitivity);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
//item = new string[2];
//item[0] = "Specificity";
//item[1] = String.Format("{0:F4}", ind.Specificity);
//lvi = new ListViewItem(item);
//listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Accuracy";
item[1] = String.Format("{0:F4}", ind.Accuracy);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
//for reporting/plotting
ThresholdChecked = true;
}
else
{
//for reporting/plotting
ThresholdChecked = false;
}
item = new string[2];
item[0] = "";
item[1] = "";
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
item = new string[2];
item[0] = "Number of Observations";
item[1] = string.Format("{0}", numRecords);
lvi = new ListViewItem(item);
listView2.Items.Add(lvi);
UpdateResults(data);
mlrPredObs1.UpdateResults(data);
//UpdateResults2(data);
_projMgr.Model = ind.Model;
_projMgr.ModelIndependentVariables = new List<string>(_projMgr.GetIndependentVariableList(ind.Chromosome));
SaveModelingInfo();
//if user selects a model in list....
_projMgr._comms.sendMessage("Show the MLR Prediction form.", this);
//also want to show the residuals tab but don't need another call
//_proj._comms.sendMessage("Show the Residuals form.", this);
}
private void btnRun_Click(object sender, EventArgs e)
{
//Cursor curTmp = this.Cursor;
//this.Cursor = Cursors.WaitCursor;
//btnViewReport.Enabled = false;
//btnViewRptChangeStatus(false);
if (verifyGlobalModelingParams() == false)
return;
_state = _mlrState.dirty;
_pmi = -1;
if (btnRun.Text == "Run")
{
if (tabControlModelGeneration.SelectedTab.Name == "tabGA")
{
if (VerifyGAModelParams() == false)
return;
_projMgr.ModelDataTable = CreateModelDataTable();
_cancelRun = false;
btnRun.Text = "Cancel";
changeControlStatus(false);
RunGA();
}
else if (tabControlModelGeneration.SelectedTab.Name == "tabManual")
{
if (VerifyManualModelParams() == false)
return;
_projMgr.ModelDataTable = CreateModelDataTable();
_cancelRun = false;
btnRun.Text = "Cancel";
changeControlStatus(false);
RunManual();
}
else if (tabControlModelGeneration.SelectedTab.Name == "tabStepwise")
{
_projMgr.ModelDataTable = CreateModelDataTable();
//if (ForwardStepwise
//RunStepwise();
}
VBLogger.getLogger().logEvent("0", VBLogger.messageIntent.UserOnly, VBLogger.targetSStrip.ProgressBar);
Application.DoEvents();
//bool validParams = SetModelData();
//if (validParams == false)
// return;
}
else if (btnRun.Text == "Cancel")
{
_cancelRun = true;
if (_gaManager != null)
_gaManager.Cancel = true;
if (_esManager != null)
_esManager.Cancel = true;
btnRun.Text = "Run";
changeControlStatus(true);
Application.DoEvents();
return;
}
//if (tabControlModelGeneration.SelectedTab.Name == "tabGA")
// RunGA();
//else if (tabControlModelGeneration.SelectedTab.Name == "tabManual")
// RunManual();
//VBLogger.getLogger().logEvent("0", VBLogger.messageIntent.UserOnly, VBLogger.targetSStrip.ProgressBar);
//this.Cursor = curTmp;
//btnRun.Text = "Run";
Application.DoEvents();
}
private void btnRemoveInputVariable_Click(object sender, EventArgs e)
{
List<ListItem> items = new List<ListItem>();
for (int i = 0; i < lbIndVariables.SelectedIndices.Count; i++)
{
ListItem li = (ListItem)lbIndVariables.Items[lbIndVariables.SelectedIndices[i]];
items.Add(li);
}
foreach (ListItem li in items)
{
lbIndVariables.Items.Remove(li);
bool foundIdx = false;
int j = 0;
for (j = 0; j < lbAvailableVariables.Items.Count; j++)
{
ListItem li2 = (ListItem)lbAvailableVariables.Items[j];
if (Convert.ToInt32(li2.ValueItem) > Convert.ToInt32(li.ValueItem))
{
lbAvailableVariables.Items.Insert(j, li);
foundIdx = true;
break;
}
}
if (foundIdx == false)
lbAvailableVariables.Items.Insert(j, li);
}
SetCombinations();
lblAvailVars.Text = "(" + lbAvailableVariables.Items.Count.ToString() + ")";
lblDepVars.Text = "(" + lbIndVariables.Items.Count.ToString() + ")";
_state = _mlrState.dirty;
initControls();
if (ResetIPyProject != null)
{
EventArgs args = new EventArgs();
ResetIPyProject(this, e);
}
}
private void btnAddInputVariable_Click(object sender, EventArgs e)
{
List<ListItem> items = new List<ListItem>();
int selectedIndices = lbAvailableVariables.SelectedIndices.Count;
for (int i = 0; i < selectedIndices; i++)
{
ListItem li = (ListItem)lbAvailableVariables.Items[lbAvailableVariables.SelectedIndices[i]];
items.Add(li);
}
foreach (ListItem li in items)
{
lbAvailableVariables.Items.Remove(li);
lbIndVariables.Items.Add(li);
}
SetCombinations();
lblAvailVars.Text = "(" + lbAvailableVariables.Items.Count.ToString() + ")";
lblDepVars.Text = "(" + lbIndVariables.Items.Count.ToString() + ")";
_state = _mlrState.dirty;
initControls();
if (ResetIPyProject != null)
{
EventArgs args = new EventArgs();
ResetIPyProject(this, e);
}
}
//remove a variable from the independent listbox back to the available listbox
private void btnRemoveInputVariable_Click(object sender, EventArgs e)
{
List<ListItem> items = new List<ListItem>();
//add all indep variables to the items list
for (int i = 0; i < lbIndVariables.SelectedIndices.Count; i++)
{
ListItem li = (ListItem)lbIndVariables.Items[lbIndVariables.SelectedIndices[i]];
items.Add(li);
}
//add the selected variables back into available listbox
foreach (ListItem li in items)
{
lbIndVariables.Items.Remove(li);
bool boolFoundIdx = false;
int intJ = 0;
for (intJ = 0; intJ < lbAvailableVariables.Items.Count; intJ++)
{
ListItem li2 = (ListItem)lbAvailableVariables.Items[intJ];
if (Convert.ToInt32(li2.ValueItem) > Convert.ToInt32(li.ValueItem))
{
lbAvailableVariables.Items.Insert(intJ, li);
boolFoundIdx = true;
break;
}
}
if (boolFoundIdx == false)
lbAvailableVariables.Items.Insert(intJ, li);
}
//SetCombinations();
lblAvailVars.Text = "(" + lbAvailableVariables.Items.Count.ToString() + ")";
lblDepVars.Text = "(" + lbIndVariables.Items.Count.ToString() + ")";
_state = _mlrState.dirty;
}
//input variables are selected and ready to be added
private void btnAddInputVariable_Click_1(object sender, EventArgs e)
{
List<ListItem> items = new List<ListItem>();
int intSelectedIndices = lbAvailableVariables.SelectedIndices.Count;
//add each selected variable to items
for (int i = 0; i < intSelectedIndices; i++)
{
ListItem li = (ListItem)lbAvailableVariables.Items[lbAvailableVariables.SelectedIndices[i]];
items.Add(li);
}
//remove from available variable list box to independent variable list box
foreach (ListItem li in items)
{
lbAvailableVariables.Items.Remove(li);
lbIndVariables.Items.Add(li);
}
//SetCombinations();
lblAvailVars.Text = "(" + lbAvailableVariables.Items.Count.ToString() + ")";
lblDepVars.Text = "(" + lbIndVariables.Items.Count.ToString() + ")";
_state = _mlrState.dirty;
}
