Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure QCNPChart(const Data: TVec; const SampleSize: TVec; const DrawVec: TVec; const CL: TVec; 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 QCNPChart(const Data: TVec; SampleSize: Integer; const DrawVec: TVec; out CL: Double; out UCL: Double; out LCL: Double; Confidence: Double); | Constructs nP-Chart. |
Overload 1: procedure QCNPChart(const Data: TVec; const SampleSize: TVec; const DrawVec: TVec; const CL: TVec; 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.
See Also: !:TQCSeries, QCSeries, StatControlCharts.QCPChart, StatControlCharts.QCUChart, StatControlCharts.QCCChart
Overload 2: procedure QCNPChart(const Data: TVec; SampleSize: Integer; const DrawVec: TVec; out CL: Double; out UCL: Double; out LCL: Double; Confidence: Double);
Constructs nP-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:
Constructs nP-Chart drawing values, center line, upper and lower control limit. The assumption is all samples have the same SampleSize.