private void saveFileDialog1_FileOk(object sender, CancelEventArgs e)
{
using (StreamWriter sw = new StreamWriter(this.saveFileDialog.FileName))
{ // Write distribution info and properties to file.
sw.WriteLine( AssemblyDescription);
sw.WriteLine("Version " + Assembly.GetExecutingAssembly().GetName().Version.ToString());
// Get parameter names (null "" if no parameter).
int i = distribution.SelectedIndex;
distributionValueLabel.Text = boost_math.any_distribution.distribution_name(i).ToString();
sw.WriteLine(distributionValueLabel.Text + " distribution");
parameterLabel1.Text = boost_math.any_distribution.first_param_name(i).ToString();
parameterLabel2.Text = boost_math.any_distribution.second_param_name(i).ToString();
parameterLabel3.Text = boost_math.any_distribution.third_param_name(i).ToString();
string separator = "\t "; // , or tab or space?
// Write parameter name & value.
sw.WriteLine(parameterLabel1.Text + separator + this.parameter1.Text);
if (boost_math.any_distribution.second_param_name(i).Length.CompareTo(0) != 0)
{ // Is a 2nd parameter.
sw.WriteLine(parameterLabel2.Text + separator + this.parameter2.Text);
}
if (boost_math.any_distribution.third_param_name(i).Length.CompareTo(0) != 0)
{ // Is a 3rd parameter.
sw.WriteLine(parameterLabel3.Text + separator + this.parameter3.Text);
}
sw.WriteLine();
sw.WriteLine("Properties");
// Show computed properties of distribution.
double x = double.Parse(parameter1.Text);
double y = double.Parse(parameter2.Text);
double z = double.Parse(parameter3.Text);
dist = new boost_math.any_distribution(i, x, y, z);
// Note global dist might not have been calculated yet if no of the tabs clicked.
try
{
mean.Text = dist.mean().ToString();
}
catch
{
mean.Text = "Undefined";
}
sw.WriteLine("Mean" + separator + mean.Text);
try
{
mode.Text = dist.mode().ToString();
}
catch
{
mode.Text = "Undefined";
}
sw.WriteLine("mode" + separator + mode.Text);
try
{
median.Text = dist.median().ToString();
}
catch
{
median.Text = "Undefined";
}
sw.WriteLine("Median" + separator + median.Text);
try
{
variance.Text = dist.variance().ToString();
}
catch
{
variance.Text = "Undefined";
}
sw.WriteLine("Variance" + separator + variance.Text);
try
{
standard_deviation.Text = dist.standard_deviation().ToString();
}
catch
{
standard_deviation.Text = "Undefined";
}
sw.WriteLine("Standard Deviation" + separator + standard_deviation.Text);
try
{
skewness.Text = dist.skewness().ToString();
}
catch
{
skewness.Text = "Undefined";
}
sw.WriteLine("Skewness" + separator + skewness.Text);
try
{
coefficient_of_variation.Text = dist.coefficient_of_variation().ToString();
}
catch
{
coefficient_of_variation.Text = "Undefined";
}
sw.WriteLine("Cofficient of variation" + separator + coefficient_of_variation.Text);
try
{
kurtosis.Text = dist.kurtosis().ToString();
}
catch
{
kurtosis.Text = "Undefined";
}
sw.WriteLine("Kurtosis" + separator + kurtosis.Text);
try
{
kurtosis_excess.Text = dist.kurtosis_excess().ToString();
}
catch
{
kurtosis_excess.Text = "Undefined";
}
sw.WriteLine("Kurtosis excess" + separator + kurtosis_excess.Text);
sw.WriteLine();
sw.WriteLine("Range from" + separator + dist.lowest().ToString() + separator +
"to" + separator + dist.uppermost().ToString());
sw.WriteLine("Support from " + separator + dist.lower().ToString() +separator+
"to " + separator + dist.upper().ToString());
sw.WriteLine();
//
sw.WriteLine("Quantiles");
if (QuantileData.Rows.Count == 1)
{ // Add some defaults:
QuantileData.Rows.Add(5); // 5 Risk levels.
QuantileData.Rows[0].Cells[0].Value = "0.001"; // Risk values as text,
QuantileData.Rows[0].Cells[1].Value = dist.quantile(0.001); // & as double.
QuantileData.Rows[0].Cells[2].Value = dist.quantile_c(0.001);
QuantileData.Rows[1].Cells[0].Value = "0.01";
QuantileData.Rows[1].Cells[1].Value = dist.quantile(0.01); // 99% confidence.
QuantileData.Rows[1].Cells[2].Value = dist.quantile_c(0.01);
QuantileData.Rows[2].Cells[0].Value = "0.05";
QuantileData.Rows[2].Cells[1].Value = dist.quantile(0.05);
QuantileData.Rows[2].Cells[2].Value = dist.quantile_c(0.05);
QuantileData.Rows[3].Cells[0].Value = "0.1";
QuantileData.Rows[3].Cells[1].Value = dist.quantile(0.1);
QuantileData.Rows[3].Cells[2].Value = dist.quantile_c(0.1);
QuantileData.Rows[4].Cells[0].Value = "0.33333333333333333";
QuantileData.Rows[4].Cells[1].Value = dist.quantile(0.33333333333333333);
QuantileData.Rows[4].Cells[2].Value = dist.quantile_c(0.33333333333333333);
}
// else have already been calculated by entering the quantile tab.
for (int r = 0; r < QuantileData.Rows.Count-1; r++)
{ // Show all the rows of quantiles, including any optional user values.
sw.WriteLine(QuantileData.Rows[r].Cells[0].Value.ToString() + separator +
QuantileData.Rows[r].Cells[1].Value.ToString() + separator +
QuantileData.Rows[r].Cells[2].Value.ToString());
}
sw.WriteLine();
sw.WriteLine("PDF, CDF & complement(s)");
for (int r = 0; r < CDF_data.Rows.Count-1; r++)
{ // Show all the rows of pdf, cdf, including any optional user values.
sw.WriteLine(CDF_data.Rows[r].Cells[0].Value.ToString() + separator + // x value.
CDF_data.Rows[r].Cells[1].Value.ToString() + separator + // pdf
CDF_data.Rows[r].Cells[2].Value.ToString() + separator + // cdf
CDF_data.Rows[r].Cells[3].Value.ToString());// cdf complement.
}
sw.WriteLine();
}
} // saveFileDialog1_FileOk
private void saveFileDialog1_FileOk(object sender, CancelEventArgs e)
{
using (StreamWriter sw = new StreamWriter(this.saveFileDialog.FileName))
{ // Write distribution info and properties to file.
sw.WriteLine( AssemblyDescription);
sw.WriteLine("Version " + Assembly.GetExecutingAssembly().GetName().Version.ToString());
// Get parameter names (null "" if no parameter).
int i = distribution.SelectedIndex;
distributionValueLabel.Text = boost_math.any_distribution.distribution_name(i).ToString();
sw.WriteLine(distributionValueLabel.Text + " distribution");
parameterLabel1.Text = boost_math.any_distribution.first_param_name(i).ToString();
parameterLabel2.Text = boost_math.any_distribution.second_param_name(i).ToString();
parameterLabel3.Text = boost_math.any_distribution.third_param_name(i).ToString();
string separator = "\t "; // , or tab or space?
// Write parameter name & value.
sw.WriteLine(parameterLabel1.Text + separator + this.parameter1.Text);
if (boost_math.any_distribution.second_param_name(i).Length.CompareTo(0) != 0)
{ // Is a 2nd parameter.
sw.WriteLine(parameterLabel2.Text + separator + this.parameter2.Text);
}
if (boost_math.any_distribution.third_param_name(i).Length.CompareTo(0) != 0)
{ // Is a 3rd parameter.
sw.WriteLine(parameterLabel3.Text + separator + this.parameter3.Text);
}
sw.WriteLine();
sw.WriteLine("Properties");
// Show computed properties of distribution.
double x = double.Parse(parameter1.Text);
double y = double.Parse(parameter2.Text);
double z = double.Parse(parameter3.Text);
dist = new boost_math.any_distribution(i, x, y, z);
// Note global dist might not have been calculated yet if no of the tabs clicked.
try
{
mean.Text = dist.mean().ToString();
}
catch
{
mean.Text = "Undefined";
}
sw.WriteLine("Mean" + separator + mean.Text);
try
{
mode.Text = dist.mode().ToString();
}
catch
{
mode.Text = "Undefined";
}
sw.WriteLine("mode" + separator + mode.Text);
try
{
median.Text = dist.median().ToString();
}
catch
{
median.Text = "Undefined";
}
sw.WriteLine("Median" + separator + median.Text);
try
{
variance.Text = dist.variance().ToString();
}
catch
{
variance.Text = "Undefined";
}
sw.WriteLine("Variance" + separator + variance.Text);
try
{
standard_deviation.Text = dist.standard_deviation().ToString();
}
catch
{
standard_deviation.Text = "Undefined";
}
sw.WriteLine("Standard Deviation" + separator + standard_deviation.Text);
try
{
skewness.Text = dist.skewness().ToString();
}
catch
{
skewness.Text = "Undefined";
}
sw.WriteLine("Skewness" + separator + skewness.Text);
try
{
coefficient_of_variation.Text = dist.coefficient_of_variation().ToString();
}
catch
{
coefficient_of_variation.Text = "Undefined";
}
sw.WriteLine("Cofficient of variation" + separator + coefficient_of_variation.Text);
try
{
kurtosis.Text = dist.kurtosis().ToString();
}
catch
{
kurtosis.Text = "Undefined";
}
sw.WriteLine("Kurtosis" + separator + kurtosis.Text);
try
{
kurtosis_excess.Text = dist.kurtosis_excess().ToString();
}
catch
{
kurtosis_excess.Text = "Undefined";
}
sw.WriteLine("Kurtosis excess" + separator + kurtosis_excess.Text);
sw.WriteLine();
sw.WriteLine("Range from" + separator + dist.lowest().ToString() + separator +
"to" + separator + dist.uppermost().ToString());
sw.WriteLine("Support from " + separator + dist.lower().ToString() +separator+
"to " + separator + dist.upper().ToString());
sw.WriteLine();
//
sw.WriteLine("Quantiles");
if (QuantileData.Rows.Count == 1)
{ // Add some defaults:
QuantileData.Rows.Add(5); // 5 Risk levels.
QuantileData.Rows[0].Cells[0].Value = "0.001"; // Risk values as text,
QuantileData.Rows[0].Cells[1].Value = dist.quantile(0.001); // & as double.
QuantileData.Rows[0].Cells[2].Value = dist.quantile_c(0.001);
QuantileData.Rows[1].Cells[0].Value = "0.01";
QuantileData.Rows[1].Cells[1].Value = dist.quantile(0.01); // 99% confidence.
QuantileData.Rows[1].Cells[2].Value = dist.quantile_c(0.01);
QuantileData.Rows[2].Cells[0].Value = "0.05";
QuantileData.Rows[2].Cells[1].Value = dist.quantile(0.05);
QuantileData.Rows[2].Cells[2].Value = dist.quantile_c(0.05);
QuantileData.Rows[3].Cells[0].Value = "0.1";
QuantileData.Rows[3].Cells[1].Value = dist.quantile(0.1);
QuantileData.Rows[3].Cells[2].Value = dist.quantile_c(0.1);
QuantileData.Rows[4].Cells[0].Value = "0.33333333333333333";
QuantileData.Rows[4].Cells[1].Value = dist.quantile(0.33333333333333333);
QuantileData.Rows[4].Cells[2].Value = dist.quantile_c(0.33333333333333333);
}
// else have already been calculated by entering the quantile tab.
for (int r = 0; r < QuantileData.Rows.Count-1; r++)
{ // Show all the rows of quantiles, including any optional user values.
sw.WriteLine(QuantileData.Rows[r].Cells[0].Value.ToString() + separator +
QuantileData.Rows[r].Cells[1].Value.ToString() + separator +
QuantileData.Rows[r].Cells[2].Value.ToString());
}
sw.WriteLine();
sw.WriteLine("PDF, CDF & complement(s)");
for (int r = 0; r < CDF_data.Rows.Count-1; r++)
{ // Show all the rows of pdf, cdf, including any optional user values.
sw.WriteLine(CDF_data.Rows[r].Cells[0].Value.ToString() + separator + // x value.
CDF_data.Rows[r].Cells[1].Value.ToString() + separator + // pdf
CDF_data.Rows[r].Cells[2].Value.ToString() + separator + // cdf
CDF_data.Rows[r].Cells[3].Value.ToString());// cdf complement.
}
sw.WriteLine();
}
}
private void tabPage2_Enter(object sender, EventArgs e)
{ // Properties tab shows distribution's mean, mode, median...
try
{ // Show chosen distribution name, and parameter names & values.
int i = distribution.SelectedIndex;
distributionValueLabel.Text = boost_math.any_distribution.distribution_name(i).ToString();
parameterLabel1.Text = boost_math.any_distribution.first_param_name(i).ToString();
parameter1ValueLabel.Text = double.Parse(parameter1.Text).ToString();
parameterLabel2.Text = boost_math.any_distribution.second_param_name(i).ToString();
parameter2ValueLabel.Text = double.Parse(parameter2.Text).ToString();
parameterLabel3.Text = boost_math.any_distribution.third_param_name(i).ToString();
parameter3ValueLabel.Text = double.Parse(parameter3.Text).ToString();
// Show computed properties of distribution.
try
{
mean.Text = dist.mean().ToString();
}
catch
{
mean.Text = "Undefined.";
}
try
{
mode.Text = dist.mode().ToString();
}
catch
{
mode.Text = "Undefined.";
}
try
{
median.Text = dist.median().ToString();
}
catch
{
median.Text = "Undefined.";
}
try
{
variance.Text = dist.variance().ToString();
}
catch
{
variance.Text = "Undefined.";
}
try
{
standard_deviation.Text = dist.standard_deviation().ToString();
}
catch
{
standard_deviation.Text = "Undefined.";
}
try
{
skewness.Text = dist.skewness().ToString();
}
catch
{
skewness.Text = "Undefined.";
}
try
{
kurtosis.Text = dist.kurtosis().ToString();
}
catch
{
kurtosis.Text = "Undefined.";
}
try
{
kurtosis_excess.Text = dist.kurtosis_excess().ToString();
}
catch
{
kurtosis_excess.Text = "Undefined.";
}
try
{
coefficient_of_variation.Text = dist.coefficient_of_variation().ToString();
}
catch
{
coefficient_of_variation.Text = "Undefined.";
}
rangeLowestLabel.Text = dist.lowest().ToString();
rangeGreatestLabel.Text = dist.uppermost().ToString();
supportLowerLabel.Text = dist.lower().ToString();
supportUpperLabel.Text = dist.upper().ToString();
cdfTabPage.ToolTipText = "Random variate can range from " + rangeLowestLabel.Text
+ " to " + rangeGreatestLabel.Text
+ ",\nbut is said to be supported from " + supportLowerLabel.Text
+ " to " + supportUpperLabel.Text
+ "\nWithin this supported range the PDF and CDF have values between 0 and 1,\nbut below " + supportLowerLabel.Text + " both are zero, and above "
+ supportUpperLabel.Text + " both are unity";
}
catch (SystemException se)
{
MessageBox.Show(se.Message, "Calculation Error!");
}
}