public bool checkInput(bool rdbAllObservations, bool rdbObservationsInRange, DataSet dataSet, string uiTextBox_StopIndex, string uiTextBox_StartIndex, bool rdbPlotAllObservations, bool rdbPlotObservationsInRange, string uiTextBox_PlotStopIndex, string uiTextBox_PlotStartIndex)
{
int startindex = Convert.ToInt16(uiTextBox_StartIndex);
int stopindex = Convert.ToInt16(uiTextBox_StopIndex);
int plotstartindex = Convert.ToInt16(uiTextBox_PlotStartIndex);
int plotstopindex = Convert.ToInt16(uiTextBox_PlotStopIndex);
if ((rdbAllObservations || rdbObservationsInRange) && (rdbPlotAllObservations || rdbPlotObservationsInRange) && (dataSet != null) && (startindex <= stopindex) && (startindex >= 0 && stopindex >= 0) && (plotstartindex <= plotstopindex) && (plotstartindex >= 0 && plotstopindex >= 0))
{
offset = 320;
if (rdbAllObservations)
{
startindex = 0;
stopindex = dataSet.amountOfVariables() - 2;
}
if (rdbObservationsInRange && stopindex >= dataSet.amountOfVariables())
{
stopindex = dataSet.amountOfVariables() - 2;
}
if (rdbPlotAllObservations)
{
plotstartindex = 0;
plotstopindex = dataSet.amountOfVariables() - 2;
}
if (rdbPlotObservationsInRange && plotstopindex >= dataSet.amountOfVariables())
{
plotstopindex = dataSet.amountOfVariables() - 2;
}
_Worksheet sheet = WorksheetHelper.NewWorksheet("XR Chart");
generateXRChart(startindex, stopindex, plotstartindex, plotstopindex, dataSet, offset, sheet);
return(true);
}
else
{
MessageBox.Show("Please correct all fields to generate X/R-Chart", "XR-Chart error");
}
return(false);
}
public void generateProcessCapability(int LSL, int USL, DataSet dataSet, _Worksheet sheet)
{
int index = 0;
int row = 1;
int column = 1;
double correctionFactor1, correctionFactor2;
double[] averages = new double[dataSet.amountOfVariables()];
double[] Rvalues = new double[dataSet.amountOfVariables()];
double[] averageOfAverages = new double[dataSet.amountOfVariables()];
double[] xChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] xChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] averageOfRvalues = new double[dataSet.amountOfVariables()];
int[] ArrayIndex = new int[dataSet.amountOfVariables()];
double[] constantC4 = new double[25] {
0.0, 0.7979, 0.8862, 0.9213, 0.9400, 0.9515, 0.9594, 0.9650, 0.9693, 0.9727, 0.9754, 0.9776, 0.9794, 0.9810, 0.9823, 0.9835, 0.9845, 0.9854, 0.9862, 0.9869, 0.9876, 0.9882, 0.9887, 0.9892, 0.9896
};
double[] constantD2 = new double[25] {
0.0, 1.128, 1.693, 2.059, 2.326, 2.534, 2.704, 2.847, 2.970, 3.078, 3.173, 3.258, 3.336, 3.407, 3.472, 3.532, 3.588, 3.640, 3.689, 3.735, 3.778, 3.819, 3.858, 3.895, 3.931
};
sheet.Cells[row, column] = "Index";
sheet.Cells[row, column + 1] = "Observation";
sheet.Cells[row, column + 2] = "Average";
sheet.Cells[row, column + 3] = "Max";
sheet.Cells[row, column + 4] = "Min";
sheet.Cells[row, column + 5] = "R";
for (index = 1; index < dataSet.amountOfVariables(); index++)
{
row++;
sheet.Cells[row, column] = index - 1;
sheet.Cells[row, column + 1] = dataSet.getVariables()[index].name;
sheet.Cells[row, column + 2] = "=AVERAGE(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 3] = "=MAX(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 4] = "=MIN(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 5] = (double)(sheet.Cells[row, column + 3] as Range).Value - (double)(sheet.Cells[row, column + 4] as Range).Value;
ArrayIndex[index - 1] = index;
var cellValue = (double)(sheet.Cells[row, column + 2] as Range).Value;
if (cellValue < -214682680)
{
cellValue = 0; // if cellValue is the result of a division by 0, set value to 0
}
averages[index - 1] = cellValue;
cellValue = (double)(sheet.Cells[row, column + 5] as Range).Value;
Rvalues[index - 1] = cellValue;
}
// create variable to limit amount of subsamples in 1 measurement to 25
int safe;
if (dataSet.rangeSize() > 24)
{
safe = 24;
}
else
{
safe = dataSet.rangeSize();
}
if (dataSet.getVariableNamesInFirstRowOrColumn())
{
correctionFactor1 = constantC4[safe - 1];
correctionFactor2 = constantD2[safe - 1];
}
else
{
correctionFactor1 = constantC4[safe];
}
correctionFactor2 = constantD2[safe];
double sigma = Rvalues.Average() / correctionFactor2;
double Cp = (USL - LSL) / (6 * sigma);
double Cpk = Math.Min((USL - averages.Average()) / (3 * sigma), (averages.Average() - LSL) / (3 * sigma));
row = 1;
column = 1;
sheet.Cells[row, column + 7] = "LSL";
sheet.Cells[row, column + 8] = "USL";
sheet.Cells[row, column + 9] = "Cp";
sheet.Cells[row, column + 10] = "Cpk";
row++;
sheet.Cells[row, column + 7] = LSL;
sheet.Cells[row, column + 8] = USL;
sheet.Cells[row, column + 9] = Cp;
sheet.Cells[row, column + 10] = Cpk;
}
public void generateProcessCapability(List <Variable> variables, double LSL, double USL, DataSet dataSet, _Worksheet sheet)
{
int index = 0;
int row = 1;
int column = 1;
double correctionFactor1, correctionFactor2;
double[] averages = new double[dataSet.amountOfVariables()];
double[] Rvalues = new double[dataSet.amountOfVariables()];
double[] averageOfAverages = new double[dataSet.amountOfVariables()];
double[] xChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] xChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] averageOfRvalues = new double[dataSet.amountOfVariables()];
int[] ArrayIndex = new int[dataSet.amountOfVariables()];
double[] constantC4 = new double[25] {
0.0, 0.7979, 0.8862, 0.9213, 0.9400, 0.9515, 0.9594, 0.9650, 0.9693, 0.9727, 0.9754, 0.9776, 0.9794, 0.9810, 0.9823, 0.9835, 0.9845, 0.9854, 0.9862, 0.9869, 0.9876, 0.9882, 0.9887, 0.9892, 0.9896
};
double[] constantD2 = new double[25] {
0.0, 1.128, 1.693, 2.059, 2.326, 2.534, 2.704, 2.847, 2.970, 3.078, 3.173, 3.258, 3.336, 3.407, 3.472, 3.532, 3.588, 3.640, 3.689, 3.735, 3.778, 3.819, 3.858, 3.895, 3.931
};
sheet.Cells[row, column] = "Index";
sheet.Cells[row, column + 1] = "Observation";
sheet.Cells[row, column + 2] = "Average";
sheet.Cells[row, column + 3] = "STD DEV";
sheet.Cells[row, column + 4] = "Max";
sheet.Cells[row, column + 5] = "Min";
sheet.Cells[row, column + 6] = "R";
sheet.Cells[100, 100] = "=ROWS(" + dataSet.getWorksheet().Name + "!" + variables[0].Range + ")";
int length = Convert.ToInt32((sheet.Cells[100, 100] as Range).Value);
sheet.Cells[100, 100] = "";
double temp = 0;
List <double> allVals = new List <double>();
double[] all = new double[length * variables.Count];
foreach (Variable var in variables)
{
string ran = var.Range.ToString();
Array arr = dataSet.getWorksheet().Range[ran].Value;
double[] vals = new double[length];
int count = 0;
foreach (var item in arr)
{
temp = Convert.ToDouble(item);
vals[count] = temp;
count++;
}
allVals.AddRange(vals);
}
all = allVals.ToArray();
double totMean = 0;
double totStd = 0;
for (index = 0; index < variables.Count; index++)
{
row++;
sheet.Cells[row, column] = index;
sheet.Cells[row, column + 1] = variables[index].name;
sheet.Cells[row, column + 2] = "=AVERAGE(" + dataSet.getWorksheet().Name + "!" + variables[index].Range + ")";
sheet.Cells[row, column + 3] = "=STDEV(" + dataSet.getWorksheet().Name + "!" + variables[index].Range + ")";
sheet.Cells[row, column + 4] = "=MAX(" + dataSet.getWorksheet().Name + "!" + variables[index].Range + ")";
sheet.Cells[row, column + 5] = "=MIN(" + dataSet.getWorksheet().Name + "!" + variables[index].Range + ")";
sheet.Cells[row, column + 6] = (double)(sheet.Cells[row, column + 4] as Range).Value - (double)(sheet.Cells[row, column + 5] as Range).Value;
totMean = totMean + Convert.ToDouble((sheet.Cells[row, column + 2] as Range).Value);
totStd = totStd + (Convert.ToDouble((sheet.Cells[row, column + 3] as Range).Value));
ArrayIndex[index] = index;
var cellValue = (double)(sheet.Cells[row, column + 2] as Range).Value;
if (cellValue < -214682680)
{
cellValue = 0; // if cellValue is the result of a division by 0, set value to 0
}
averages[index] = cellValue;
cellValue = (double)(sheet.Cells[row, column + 6] as Range).Value;
Rvalues[index] = cellValue;
}
totMean = all.Average();
totStd = sheet.Application.WorksheetFunction.StDev(all);
//totMean = totMean / variables.Count;
//totStd = totStd / variables.Count;
if (dataSet.getVariableNamesInFirstRowOrColumn())
{
correctionFactor1 = constantC4[variables.Count - 1];
correctionFactor2 = constantD2[variables.Count - 1];
}
else
{
correctionFactor1 = constantC4[variables.Count];
}
correctionFactor2 = constantD2[variables.Count];
System.Diagnostics.Debug.WriteLine(totStd);
double sigma = totStd;
double Cp = (USL - LSL) / (6 * sigma);
double Cpk = Math.Min((USL - totMean) / (3 * sigma), (totMean - LSL) / (3 * sigma));
double Pbelow = sheet.Application.WorksheetFunction.NormDist(LSL, totMean, totStd, true);
double Pabove = 1.0 - sheet.Application.WorksheetFunction.NormDist(USL, totMean, totStd, true);
row = 1;
column = 1;
sheet.Cells[row, column + 8] = "LSL";
sheet.Cells[row, column + 9] = "USL";
sheet.Cells[row, column + 10] = "Cp";
sheet.Cells[row, column + 11] = "Cpk";
sheet.Cells[row, column + 12] = "P(below LSL)";
sheet.Cells[row, column + 13] = " Per million";
sheet.Cells[row, column + 14] = "P(above USL)";
sheet.Cells[row, column + 15] = " Per million";
row++;
sheet.Cells[row, column + 8] = LSL;
sheet.Cells[row, column + 9] = USL;
sheet.Cells[row, column + 10] = Cp;
sheet.Cells[row, column + 11] = Cpk;
sheet.Cells[row, column + 12] = Pbelow;
sheet.Cells[row, column + 13] = Pbelow * 1000000;
sheet.Cells[row, column + 14] = Pabove;
sheet.Cells[row, column + 15] = Pabove * 1000000;
}
private void generatePChart(int startindex, int stopindex, DataSet dataSet, _Worksheet sheet, int plotstartindex, int plotstopindex)
{
int index = 0;
int row = 1;
int column = 1;
double[] pValues = new double[dataSet.amountOfVariables() - 1];
double[] averageOfPValues = new double[dataSet.amountOfVariables() - 1];
double[] pValuesInRange = new double[stopindex - startindex + 1];
double[] pChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] pChartLowerControlLimit = new double[dataSet.amountOfVariables()];
sheet.Cells[row, column] = "Index";
sheet.Cells[row, column + 1] = "Observation";
sheet.Cells[row, column + 2] = "Average";
for (index = 1; index < dataSet.amountOfVariables(); index++)
{
row++;
sheet.Cells[row, column] = index - 1;
sheet.Cells[row, column + 1] = dataSet.getVariables()[index].name;
sheet.Cells[row, column + 2] = "=AVERAGE(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
var cellValue = (double)(sheet.Cells[row, column + 2] as Range).Value;
if (cellValue < -214682680)
{
cellValue = 0; // if cellValue is the result of a division by 0, set value to 0
}
pValues[index - 1] = cellValue;
if (cellValue > 1)
{
MessageBox.Show("Cannot generate P-Chart; Data in " + dataSet.Name + " contains samples greater than 1");
return;
}
}
for (index = startindex; index <= stopindex; index++)
{
pValuesInRange[index - startindex] = pValues[index];
}
double pChartCorrection = Math.Pow(((pValuesInRange.Average() * (1 - pValuesInRange.Average())) / dataSet.rangeSize()), (0.3333333));
for (index = 0; index < dataSet.amountOfVariables() - 1; index++)
{
averageOfPValues[index] = pValuesInRange.Average();
pChartUpperControlLimit[index] = pValues.Average() + pChartCorrection;
pChartLowerControlLimit[index] = pValues.Average() - pChartCorrection;
}
// new arrays for subsets of existing arrays but within limits
double[] plotpValues = new double[plotstopindex - plotstartindex + 1];
double[] plotaverageOfPValues = new double[plotstopindex - plotstartindex + 1];
double[] plotpChartUpperControlLimit = new double[plotstopindex - plotstartindex + 1];
double[] plotpChartLowerControlLimit = new double[plotstopindex - plotstartindex + 1];
int[] ArrayIndex = new int[plotstopindex - plotstartindex + 1];
for (int i = plotstartindex; i <= plotstopindex; i++)
{
plotpValues[i - plotstartindex] = pValues[i];
plotaverageOfPValues[i - plotstartindex] = averageOfPValues[i];
plotpChartLowerControlLimit[i - plotstartindex] = pChartLowerControlLimit[i];
plotpChartUpperControlLimit[i - plotstartindex] = pChartUpperControlLimit[i];
ArrayIndex[i - plotstartindex] = i;
}
var Xcharts = (ChartObjects)sheet.ChartObjects();
var XchartObject = Xcharts.Add(340, 20, 550, 300);
var Xchart = XchartObject.Chart;
Xchart.ChartType = XlChartType.xlXYScatterLines;
Xchart.ChartWizard(Title: "P-Chart " + dataSet.Name, HasLegend: true);
var XseriesCollection = (SeriesCollection)Xchart.SeriesCollection();
var pseries = XseriesCollection.NewSeries();
var CLseries = XseriesCollection.NewSeries();
var UCLseries = XseriesCollection.NewSeries();
var LCLseries = XseriesCollection.NewSeries();
pseries.Name = ("Proportion");
CLseries.Name = ("Center line");
UCLseries.Name = ("UCL");
LCLseries.Name = ("LCL");
pseries.Values = plotpValues;
CLseries.Values = plotaverageOfPValues;
UCLseries.Values = plotpChartUpperControlLimit;
LCLseries.Values = plotpChartLowerControlLimit;
pseries.XValues = ArrayIndex;
CLseries.XValues = ArrayIndex;
UCLseries.XValues = ArrayIndex;
LCLseries.XValues = ArrayIndex;
}
public void createRegression(List <Variable> variablesD, List <Variable> variablesI, DataSet dataSet, DataSet dataSet2, bool[] graphs, List <Variable> variablesPrediction)
{
_Worksheet sheet = WorksheetHelper.NewWorksheet("Regression");
double confLevel = model.confidenceLevel;
sheet.Cells[100, 100] = "=ROWS(" + dataSet.getWorksheet().Name + "!" + variablesI[0].Range + ")";
int length = Convert.ToInt32((sheet.Cells[100, 100] as Range).Value);
sheet.Cells[100, 100] = "";
int row = 1;
sheet.Cells[1, 1] = "Regression Summary";
sheet.Cells[2, 1] = "R";
sheet.Cells[3, 1] = "R-square";
sheet.Cells[4, 1] = "adjusted R-square";
sheet.Cells[5, 1] = "stErr of Estimate";
sheet.Cells[9, 1] = "ANOVA Table";
sheet.Cells[10, 1] = "Explained";
sheet.Cells[11, 1] = "Unexplained";
sheet.Cells[8, 3] = "Sum of";
sheet.Cells[9, 3] = "Squares";
sheet.Cells[8, 2] = "Degrees of";
sheet.Cells[9, 2] = "Freedom";
sheet.Cells[8, 4] = "Mean";
sheet.Cells[9, 4] = "Squares";
sheet.Cells[9, 5] = "F-Ratio";
sheet.Cells[9, 6] = "p-Value";
sheet.Cells[15, 1] = "Regression Table";
sheet.Cells[16, 1] = "Constant";
row = 17;
foreach (Variable var in variablesI)
{
sheet.Cells[row, 1] = var.name;
row++;
}
lowestDataRow = row;
sheet.Cells[15, 2] = "Coefficient";
sheet.Cells[14, 3] = "Standard";
sheet.Cells[15, 3] = "Error";
sheet.Cells[15, 4] = "t-value";
sheet.Cells[15, 5] = "p-value";
sheet.Cells[14, 6] = "Confidence Interval " + confLevel.ToString() + "%";
sheet.Range[sheet.Cells[14, 6], sheet.Cells[14, 7]].Merge();
sheet.Cells[15, 6] = "Lower";
sheet.Cells[15, 7] = "Upper";
sheet.get_Range("B1", "J200").Cells.HorizontalAlignment = XlHAlign.xlHAlignCenter;
sheet.get_Range("A1", "B1").Borders[XlBordersIndex.xlEdgeBottom].LineStyle = XlLineStyle.xlDouble;
sheet.get_Range("A9", "F9").Borders[XlBordersIndex.xlEdgeBottom].LineStyle = XlLineStyle.xlDouble;
sheet.get_Range("A15", "G15").Borders[XlBordersIndex.xlEdgeBottom].LineStyle = XlLineStyle.xlDouble;
sheet.get_Range("B3", "B5").NumberFormat = "0.0000";
sheet.get_Range("B18", "B20").NumberFormat = "0.0000";
sheet.get_Range("D18", "E19").NumberFormat = "0.0000";
Globals.ExcelAddIn.Application.ActiveWindow.DisplayGridlines = false;
//
//calculate values of regression
//
double[] b = new double[variablesI.Count];
double[] yData = calcYdata(variablesD, dataSet, length);
double[,] xData = calcXdata(length, dataSet, variablesI);
b = calculateCoefB(yData, xData, b);
double a = b[0];
var X = DenseMatrix.OfArray(xData);
var B = new DenseVector(b);
var Y = new DenseVector(yData);
var yh = X.Multiply(B);
var er = Y.Subtract(yh);
double[] error = er.ToArray();
double[] yhat = yh.ToArray();
double R2 = sheet.Application.WorksheetFunction.Correl(yData, yhat);
double R = Math.Pow(R2, 2);
double Radj = 1.0 - ((1 - R) * (length - 1) / (length - variablesI.Count - 1));
double err = 0;
int i = 0;
while (i < error.Length)
{
err = err + Math.Pow(error[i], 2);
i++;
}
err = Math.Sqrt(err / (length - 4));
double[] anovaResults = calculateAnova(yData, yhat, variablesI.Count(), sheet);
multicollinearity(sheet, xData, variablesI.Count);
if (model.doDurbinWatson == true)
{
DurbinWatson(sheet, error);
}
//
//Calculate regressionTable
//
double MSE = anovaResults[6];
var Xt = X.Transpose();
var tempM = (Xt.Multiply(X)).Inverse();
var variancesM = tempM.Multiply(MSE);
double[] variances = variancesM.Diagonal().ToArray();
double[] std = new double[variances.Length];
int index = 0;
foreach (double elem in variances)
{
std[index] = Math.Sqrt(elem);
//System.Diagnostics.Debug.WriteLine(std[index]);
index++;
}
double[] tValue = new double[b.Length];
double[] pValue = new double[b.Length];
double[] lowerInt = new double[b.Length];
double[] higherInt = new double[b.Length];
for (index = 0; index < b.Length; index++)
{
tValue[index] = b[index] / std[index];
pValue[index] = sheet.Application.WorksheetFunction.TDist(Math.Abs(tValue[index]), length - variablesI.Count - 1, 2);
lowerInt[index] = b[index] - sheet.Application.WorksheetFunction.TInv(1 - confLevel / 100, length - variablesI.Count - 1) * std[index];
higherInt[index] = b[index] + sheet.Application.WorksheetFunction.TInv(1 - confLevel / 100, length - variablesI.Count - 1) * std[index];
//System.Diagnostics.Debug.WriteLine("{0}, p={1}, lower = {2}, n={3}, inv={4}, std={5}, inv2={6}",real_p, pValue[index], lowerInt[index], length - 1, sheet.Application.WorksheetFunction.TInv(1-0.975, length - 1), std[index], sheet.Application.WorksheetFunction.TInv(1 - 0.95, length - 1));
}
//
//Prediction
//
if (model.doPrediction)
{
double[,] xDataPred = calcXdata(dataSet2.getNrDataRows(), dataSet2, variablesPrediction);
int[] rightCell = { dataSet2.getRange().Row, dataSet2.getRange().Column + dataSet2.amountOfVariables() }; //{row, column}
prediction(dataSet2.getWorksheet(), xDataPred, b, length, variablesI.Count, X, MSE, rightCell, variablesD[0].name);
setPrediction(false);
}
//
//Draw graphs
//
if (graphs[0])
{
drawGraphs(sheet, yData, yhat, "Scatter plot of fitted values vs. actual values");
}
if (graphs[1])
{
drawGraphs(sheet, yData, error, "Scatter plot of residuals vs. fitted values");
}
if (graphs[2])
{
int varNumber = 1;
foreach (Variable var in variablesI)
{
double[] xDataTemp = new double[xData.GetLength(0)];
for (int x = 0; x < xData.GetLength(0); x++)
{
xDataTemp[x] = xData[x, varNumber];
}
drawGraphs(sheet, xDataTemp, error, "Scatter plot of residuals vs. " + var.name);
varNumber++;
}
}
if (graphs[3])
{
int varNumber = 1;
foreach (Variable var in variablesI)
{
double[] xDataTemp = new double[xData.GetLength(0)];
for (int x = 0; x < xData.GetLength(0); x++)
{
xDataTemp[x] = xData[x, varNumber];
}
drawGraphs(sheet, xDataTemp, yData, "Scatter plot of actual Y values vs. " + var.name);
varNumber++;
}
}
if (graphs[4])
{
int varNumber = 1;
foreach (Variable var in variablesI)
{
double[] xDataTemp = new double[xData.GetLength(0)];
for (int x = 0; x < xData.GetLength(0); x++)
{
xDataTemp[x] = xData[x, varNumber];
}
drawGraphs(sheet, xDataTemp, yhat, "Scatter plot of fitted Y values vs. " + var.name);
varNumber++;
}
}
//
//print results to excel sheet
//
sheet.Cells[16, 2] = a;
row = 17;
foreach (Variable var in variablesI)
{
sheet.Cells[row, 2] = b[row - 16];
row++;
}
FillR(sheet, R2, R, Radj, err);
FillAnova(sheet, anovaResults);
FillRegressionTable(sheet, std, tValue, pValue, lowerInt, higherInt);
((Range)sheet.Cells[1, 1]).EntireColumn.AutoFit();
((Range)sheet.Cells[1, 2]).EntireColumn.AutoFit();
((Range)sheet.Cells[1, 3]).EntireColumn.AutoFit();
((Range)sheet.Cells[1, 4]).EntireColumn.AutoFit();
((Range)sheet.Cells[1, 5]).EntireColumn.AutoFit();
((Range)sheet.Cells[1, 6]).EntireColumn.ColumnWidth = 13;
((Range)sheet.Cells[1, 7]).EntireColumn.ColumnWidth = 13;
((Range)sheet.Cells[1, 8]).EntireColumn.ColumnWidth = 13;
((Range)sheet.Cells[1, 9]).EntireColumn.ColumnWidth = 13;
((Range)sheet.Cells[1, 10]).EntireColumn.AutoFit();
}
public void generateXRChart(int startindex, int stopindex, int plotstartindex, int plotstopindex, DataSet dataSet, int offset, _Worksheet sheet)
{
// declaration of variables
int index = 0;
int row = 1;
int column = 1;
double xControlLimitFactor, rControlLimitFactor1, rControlLimitFactor2;
double[] averages = new double[dataSet.amountOfVariables()];
double[] Rvalues = new double[dataSet.amountOfVariables()];
double[] averageOfAverages = new double[dataSet.amountOfVariables()];
double[] xChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] xChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartUpperControlLimit = new double[dataSet.amountOfVariables()];
double[] rChartLowerControlLimit = new double[dataSet.amountOfVariables()];
double[] averageOfRvalues = new double[dataSet.amountOfVariables()];
double[] RvaluesInRange = new double[stopindex - startindex + 1];
double[] averageOfAveragesInRange = new double[stopindex - startindex + 1];
int[] ArrayIndex = new int[plotstopindex - plotstartindex + 1];
double[] xChartConstants = new double[25] {
0.0, 1.880, 1.023, 0.729, 0.577, 0.483, 0.419, 0.373, 0.337, 0.308, 0.285, 0.266, 0.249, 0.235, 0.223, 0.212, 0.203, 0.194, 0.187, 0.180, 0.173, 0.167, 0.162, 0.157, 0.153
};
double[] rChartConstants1 = new double[25] {
0, 0, 0, 0, 0, 0, 0.076, 0.136, 0.184, 0.223, 0.256, 0.283, 0.307, 0.328, 0.347, 0.363, 0.378, 0.391, 0.403, 0.415, 0.425, 0.434, 0.443, 0.451, 0.459
};
double[] rChartConstants2 = new double[25] {
0, 3.267, 2.574, 2.282, 2.114, 2.004, 1.924, 1.864, 1.816, 1.777, 1.744, 1.717, 1.693, 1.672, 1.653, 1.637, 1.662, 1.607, 1.597, 1.585, 1.575, 1.566, 1.557, 1.548, 1.541
};
// write labels to sheet
sheet.Cells[row, column] = "Index";
sheet.Cells[row, column + 1] = "Observation";
sheet.Cells[row, column + 2] = "Average";
sheet.Cells[row, column + 3] = "Max";
sheet.Cells[row, column + 4] = "Min";
sheet.Cells[row, column + 5] = "R";
// write values to sheet
for (index = 1; index < dataSet.amountOfVariables(); index++)
{
row++;
sheet.Cells[row, column] = index - 1;
sheet.Cells[row, column + 1] = dataSet.getVariables()[index].name;
sheet.Cells[row, column + 2] = "=AVERAGE(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 3] = "=MAX(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 4] = "=MIN(" + dataSet.getWorksheet().Name + "!" + dataSet.getVariables()[index].Range + ")";
sheet.Cells[row, column + 5] = (double)(sheet.Cells[row, column + 3] as Range).Value - (double)(sheet.Cells[row, column + 4] as Range).Value;
var cellValue = (double)sheet.Cells[row, column + 2].Value;
if (cellValue < -214682680)
{
cellValue = 0; // if cellValue is the result of a division by 0, set value to 0
}
averages[index - 1] = cellValue;
cellValue = (double)(sheet.Cells[row, column + 5] as Range).Value;
Rvalues[index - 1] = cellValue;
}
// make arrays for calculation within limits
for (index = startindex; index <= stopindex; index++)
{
RvaluesInRange[index - startindex] = Rvalues[index];
averageOfAveragesInRange[index - startindex] = averages[index];
}
// create variable to limit amount of subsamples in 1 measurement to 25
int safe;
if (dataSet.rangeSize() > 24)
{
safe = 24;
}
else
{
safe = dataSet.rangeSize();
}
if (dataSet.getVariableNamesInFirstRowOrColumn())
{
xControlLimitFactor = xChartConstants[safe - 1];
rControlLimitFactor1 = rChartConstants1[safe - 1];
rControlLimitFactor2 = rChartConstants2[safe - 1];
}
else
{
xControlLimitFactor = xChartConstants[safe];
}
rControlLimitFactor1 = rChartConstants1[safe];
rControlLimitFactor2 = rChartConstants2[safe];
for (index = 0; index < dataSet.amountOfVariables(); index++)
{
averageOfAverages[index] = averageOfAveragesInRange.Average();
xChartUpperControlLimit[index] = averageOfAveragesInRange.Average() + (xControlLimitFactor * Rvalues.Average());
xChartLowerControlLimit[index] = averageOfAveragesInRange.Average() - (xControlLimitFactor * Rvalues.Average());
averageOfRvalues[index] = RvaluesInRange.Average();
rChartUpperControlLimit[index] = RvaluesInRange.Average() * rControlLimitFactor2;
rChartLowerControlLimit[index] = RvaluesInRange.Average() * rControlLimitFactor1;
}
// new subsets of arrays for plotting data
double[] plotaverages = new double[plotstopindex - plotstartindex + 1];
double[] plotRvalues = new double[plotstopindex - plotstartindex + 1];
double[] plotaverageOfAverages = new double[plotstopindex - plotstartindex + 1];
double[] plotxChartUpperControlLimit = new double[plotstopindex - plotstartindex + 1];
double[] plotxChartLowerControlLimit = new double[plotstopindex - plotstartindex + 1];
double[] plotrChartUpperControlLimit = new double[plotstopindex - plotstartindex + 1];
double[] plotrChartLowerControlLimit = new double[plotstopindex - plotstartindex + 1];
double[] plotaverageOfRvalues = new double[plotstopindex - plotstartindex + 1];
for (int i = plotstartindex; i <= plotstopindex; i++)
{
ArrayIndex[i - plotstartindex] = i;
plotaverages[i - plotstartindex] = averages[i];
plotRvalues[i - plotstartindex] = Rvalues[i];
plotaverageOfAverages[i - plotstartindex] = averageOfAverages[i];
plotxChartUpperControlLimit[i - plotstartindex] = xChartUpperControlLimit[i];
plotxChartLowerControlLimit[i - plotstartindex] = xChartLowerControlLimit[i];
plotrChartUpperControlLimit[i - plotstartindex] = rChartUpperControlLimit[i];
plotrChartLowerControlLimit[i - plotstartindex] = rChartLowerControlLimit[i];
plotaverageOfRvalues[i - plotstartindex] = averageOfRvalues[i];
}
var Xcharts = (ChartObjects)sheet.ChartObjects();
var XchartObject = Xcharts.Add(340, 20, 550, 300);
var Xchart = XchartObject.Chart;
Xchart.ChartType = XlChartType.xlXYScatterLines;
Xchart.ChartWizard(Title: "X-Chart " + dataSet.Name, HasLegend: true);
var XseriesCollection = (SeriesCollection)Xchart.SeriesCollection();
var avgseries = XseriesCollection.NewSeries();
var avgAvgseries = XseriesCollection.NewSeries();
var UCLseries = XseriesCollection.NewSeries();
var LCLseries = XseriesCollection.NewSeries();
avgseries.Name = ("Observation Averages");
avgAvgseries.Name = ("Center Line");
UCLseries.Name = ("UCL");
LCLseries.Name = ("LCL");
avgseries.Values = plotaverages;
avgAvgseries.Values = plotaverageOfAverages;
UCLseries.Values = plotxChartUpperControlLimit;
LCLseries.Values = plotxChartLowerControlLimit;
avgseries.XValues = ArrayIndex;
UCLseries.XValues = ArrayIndex;
LCLseries.XValues = ArrayIndex;
avgAvgseries.XValues = ArrayIndex;
var Rcharts = (ChartObjects)sheet.ChartObjects();
var RchartObject = Rcharts.Add(340, 20 + offset, 550, 300);
var Rchart = RchartObject.Chart;
Rchart.ChartType = XlChartType.xlXYScatterLines;
Rchart.ChartWizard(Title: "R-Chart " + dataSet.Name, HasLegend: true);
var RseriesCollection = (SeriesCollection)Rchart.SeriesCollection();
var rSeries = RseriesCollection.NewSeries();
var averageRSeries = RseriesCollection.NewSeries();
var UCLSeries = RseriesCollection.NewSeries();
var LCLSeries = RseriesCollection.NewSeries();
rSeries.Name = ("Observation R");
averageRSeries.Name = ("Center Line");
UCLSeries.Name = ("UCL");
LCLSeries.Name = ("LCL");
rSeries.Values = plotRvalues;
averageRSeries.Values = plotaverageOfRvalues;
UCLSeries.Values = plotrChartUpperControlLimit;
LCLSeries.Values = plotrChartLowerControlLimit;
rSeries.XValues = ArrayIndex;
averageRSeries.XValues = ArrayIndex;
UCLSeries.XValues = ArrayIndex;
LCLSeries.XValues = ArrayIndex;
}
