[See ANMXSUM in the SAS/QC Sample Library]In this example, the XCHART statement is used to create a data set containing group summary statistics that can be read later by the ANOM procedure (as in the preceding example). The following statements read measurements from the data set LabelDeviations and create a summary data set named LabelSummary:
proc anom data=LabelDeviations; xchart Deviation*Position / outsummary=LabelSummary nochart; run;
The OUTSUMMARY= 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 4.22.
Figure 4.25 contains a listing of LabelSummary.
The Data Set LabelSummary |
Position | DeviationX | DeviationS | DeviationN |
---|---|---|---|
1 | -0.02234 | 0.022807 | 10 |
2 | 0.01625 | 0.033473 | 10 |
3 | 0.00604 | 0.028849 | 10 |
4 | 0.06473 | 0.021495 | 10 |
5 | 0.00813 | 0.025928 | 10 |
6 | -0.01283 | 0.015986 | 10 |
There are four variables in the data set LabelSummary.
Position identifies the group.
DeviationX contains the group means.
DeviationS contains the group standard deviations.
DeviationN contains the group sizes.
Note that the summary statistic variables are named by adding the suffix characters X, S, and N to the response Deviation specified in the XCHART statement. In other words, the variable naming convention for OUTSUMMARY= data sets is the same as that for SUMMARY= data sets.
For more information, see the section OUTSUMMARY= Data Set.