StatControlCharts.QCPChart Method

Overload List

#	Signature	Description
1	procedure QCPChart(const Data: TVec; const SampleSize: TVec; const DrawVec: TVec; out CL: Double; const UCL: TVec; const LCL: TVec; Confidence: Double);	In this case each sample can have different size. You must store sizes in SampleSize vector.
2	procedure QCPChart(const Data: TVec; SampleSize: Integer; const DrawVec: TVec; out CL: Double; out UCL: Double; out LCL: Double; Confidence: Double);	P-Chart.

Overload 1: procedure QCPChart(const Data: TVec; const SampleSize: TVec; const DrawVec: TVec; out CL: Double; const UCL: TVec; const LCL: TVec; Confidence: Double);

In this case each sample can have different size. You must store sizes in SampleSize vector.

#	Name	Description
1	Data	Data to be analyzed. Each value represents number of defects.
2	Confidence	Confidence level for upper and lower control limit. Confidence must lie in the (0,1) interval.
3	SampleSize	Sample size. Can be integer or vector.
4	DrawVec	Returns values to be drawn.
5	CL	Returns control Chart centerline.
6	UCL	Returns control Chart upper control limit.
7	LCL	Returns control Chart lower control limit.

Result: stored in self (calling object)

Remarks:

An exeption is raised if Data and SampleSize length do not match.

Examples

Uses StatControlCharts, MtxExp, Math387, MtxVecTee, StatSeries;
procedure Example(Series1: TQCSeries);
var CL, UCL, LCL : double;
Data: Matrix;
DrawVec: Vector;
begin
    Data.LoadFromFile('data.mtx');
    QCPChart(Data,10, DrawVec,CL,UCL,LCL,0.05);
    // setup limit lines
    Series1.UCL := UCL;
    Series1.LCL := LCL;
    Series1.CL := CL;
    // now draw actual data
    DrawValues(DrawVec,Series1);
end;

See Also: !:TQCSeries, QCSeries, StatControlCharts.QCNPChart, StatControlCharts.QCUChart, StatControlCharts.QCCChart

Overload 2: procedure QCPChart(const Data: TVec; SampleSize: Integer; const DrawVec: TVec; out CL: Double; out UCL: Double; out LCL: Double; Confidence: Double);

P-Chart.

#	Name	Type	Description
1	Data	TVec
2	SampleSize	Integer
3	DrawVec	TVec
4	CL	Double
5	UCL	Double
6	LCL	Double
7	Confidence	Double	scalar

Result: stored in self (calling object)

Remarks:

Calculates the P-Chart (Control chart for proportions) drawing values, center line, upper and lower control limits. Control limits are based on the normal approximation to the binomial distribution. When p is small, the normal approximation may not always be adequate. In such cases, we may use control limits obtained directly from a table of binomial probabilities. If P is small, the lower control limit obtained from the normal approximation may be a negative number. If this should occur, it is customary to consider zero as the lower control limit.

Note
The assumption is all samples have the same SampleSize.