private void btnExecute_Click(object sender, EventArgs e)
{
string smpFtrNm = cmbSampleFeatureClass.Text;
string[] depStrArr = lstDependent.Items.Cast <string>().ToArray();
string[] indStrArr = lstIndependent.Items.Cast <string>().ToArray();
string outPath = txtOutputPath.Text;
double alpha = System.Convert.ToDouble(nudAlpha.Value);
if (smpFtrNm == null || smpFtrNm == "")
{
MessageBox.Show("You must select a feature Class or table", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (depStrArr.Length < 2)
{
MessageBox.Show("You must select at least 2 dependent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (indStrArr.Length < 1)
{
MessageBox.Show("You must select at least 1 independent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (outPath == "" || outPath == null)
{
MessageBox.Show("You must select an output Path", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
List <string> lstCat = new List <string>();
for (int i = 0; i < lstIndependent.Items.Count; i++)
{
string s = lstIndependent.Items[i].ToString();
IField fld = flds.get_Field(flds.FindField(s));
if (fld.Type == esriFieldType.esriFieldTypeString)
{
lstCat.Add(s);
}
}
this.Visible = false;
ITable ftrCls = ftrDic[smpFtrNm];
Statistics.dataPrepMultivariateLinearRegression mvlr = new Statistics.dataPrepMultivariateLinearRegression(ftrCls, depStrArr, indStrArr, lstCat.ToArray(), chbIntOrigin.Checked);
mvlr.writeModel(outPath);
mvlr.getReport(alpha);
this.Close();
}
private void btnExecute_Click(object sender, EventArgs e)
{
string smpFtrNm = cmbSampleFeatureClass.Text;
string[] depStrArr = lstDependent.Items.Cast<string>().ToArray();
string[] indStrArr = lstIndependent.Items.Cast<string>().ToArray();
string outPath = txtOutputPath.Text;
double alpha = System.Convert.ToDouble(nudAlpha.Value);
if (smpFtrNm == null || smpFtrNm == "")
{
MessageBox.Show("You must select a feature Class or table","Error",MessageBoxButtons.OK,MessageBoxIcon.Error);
return;
}
if (depStrArr.Length<2)
{
MessageBox.Show("You must select at least 2 dependent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (indStrArr.Length < 1)
{
MessageBox.Show("You must select at least 1 independent field", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (outPath==""||outPath==null)
{
MessageBox.Show("You must select an output Path", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
List<string> lstCat = new List<string>();
for (int i = 0; i < lstIndependent.Items.Count; i++)
{
string s = lstIndependent.Items[i].ToString();
IField fld = flds.get_Field(flds.FindField(s));
if(fld.Type== esriFieldType.esriFieldTypeString)
{
lstCat.Add(s);
}
}
this.Visible = false;
ITable ftrCls = ftrDic[smpFtrNm];
Statistics.dataPrepMultivariateLinearRegression mvlr = new Statistics.dataPrepMultivariateLinearRegression(ftrCls, depStrArr, indStrArr, lstCat.ToArray(), chbIntOrigin.Checked);
mvlr.writeModel(outPath);
mvlr.getReport(alpha);
this.Close();
}
