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StatControlCharts.QCWestgardRules Method

Compares values agains Westgard rules.

Syntax
C#
Visual Basic
public static void QCWestgardRules([In] TVec Data, [In] TVec OutControl, double dataMean, double dataSigma);
Parameters 
Description 
[In] TVec Data 
Data to-be-checked with Westgard rules. 
[In] TVec OutControl 
Vector storing each point status. If point(i) is out-of-control, then OutControl.Values[i] will be greater than zero (see explanation above). 
double dataMean 
In most cases equal to data mean, but you can specify any value. 
double dataSigma 
In most cases equal to data standard deviation, but you can specify any value. 

Data individual values are tested to determine if they are in, or out, of control using a set of five rules called the Westgard rules. These rules indicate which points are out-of-control. The Westgard rules are (see www.westgard.com/mltirule.htmfor details):

Description 
Rule 
1S3 
One value beyond three sigma from the mean. 
1S2 
One value beyond two sigma from the mean. 
2S2 
Two consecutive values either greater than, or less than, two sigma from the mean. 
RS4 
A difference between consecutive values greater than four sigma. 
41S 
Four consecutive values greater than, or less than, one sigma from the mean. 
10X 
Ten consecutive values all greater than, or less than, the mean. 

For each point several rules can be violated at the same time. Each Westgard rule violation has different value:

Rule violated 
Value 
1S3  
1=2^0  
1S2  
2=2^1  
2S2 *  
4=2^2  
RS4  
8=2^3  
4S1  
16=2^4  
10X *  
32=2^5  

For example, if rules 2S2 and 10X were violated, then the sum of violations for point would be 4 + 32 = 36 = 100100.

Load process data, then check if any points are out-of-control.

using Dew.Math; using Dew.Math.Units; using Dew.Stats.Units; namespace Dew.Examples { private void Example(Dew.Stats.QCSeries QCSeries1) { Vector data = new Vector(0); Vector outofcontrol = new Vector(0); VectorInt indexes = new VectorInt(0); data.LoadFromFile("process_data.vec"); StatControlCharts.QCWestgardRules(data,outofcontrol,data.Mean(),data.StdDev()); // Now find indexes of out-of-control points indexes.FindIndexes(outofcontrol,">",0); // indexes.IValues now stores the indices of out-of-control points } }
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