[See SHWXCHR in the SAS/QC Sample Library]In this example, the XCHART statement is used to create a summary data set that can be read later by the SHEWHART procedure (as in the preceding example). The following statements read measurements from the data set Partgaps and create a summary data set named Gaphist:
proc shewhart data=Partgaps; xchart Partgap*Sample / outhistory = Gaphist nochart; run;
The OUTHISTORY= option names the output data set, and the NOCHART option suppresses the display of the chart, which would be identical to the chart in Figure 15.98.
Figure 15.101 contains a partial listing of Gaphist.
Summary Data Set for Gap Widths |
Sample | PartgapX | PartgapR | PartgapN |
---|---|---|---|
1 | 270 | 35 | 5 |
2 | 258 | 25 | 5 |
3 | 248 | 24 | 5 |
4 | 260 | 39 | 5 |
5 | 273 | 29 | 5 |
There are four variables in the data set Gaphist.
Sample contains the subgroup index.
PartgapX contains the subgroup means.
PartgapR contains the subgroup ranges.
PartgapN contains the subgroup sample sizes.
Note that the summary statistic variables are named by adding the suffix characters X, R, and N to the process Partgap specified in the XCHART statement. In other words, the variable naming convention for OUTHISTORY= data sets is the same as that for HISTORY= data sets.
If you specify the STDDEVIATIONS option, the OUTHISTORY= data set includes a subgroup standard deviation variable rather than a subgroup range variable, as demonstrated by the following statements:
proc shewhart data=Partgaps; xchart Partgap*Sample / outhistory = Gaphist2 stddeviations nochart; run;
Figure 15.102 contains a partial listing of Gaphist2.
Summary Data Set with Subgroup Standard Deviations |
Sample | PartgapX | PartgapS | PartgapN |
---|---|---|---|
1 | 270 | 12.6293 | 5 |
2 | 258 | 10.2225 | 5 |
3 | 248 | 10.6771 | 5 |
4 | 260 | 14.2302 | 5 |
5 | 273 | 11.2027 | 5 |
The variable PartgapS, which contains the subgroup standard deviations, is named by adding the suffix character S to the process Partgap.
For more information, see OUTHISTORY= Data Set.