EWMACHART Statement: MACONTROL Procedure

Saving Summary Statistics

Note: See Exponentially Weighted Moving Average Chart in the SAS/QC Sample Library.

In this example, the EWMACHART tatement is used to create a summary data set that can be read later by the MACONTROL procedure (as in the preceding example). The following statements read measurements from the data set Clips1 and create a summary data set named Cliphist:

title 'Summary Data Set for Gap Measurements';
proc macontrol data=Clips1;
   ewmachart Gap*Day / weight     = 0.3
                       outhistory = Cliphist
                       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 9.3.

Figure 9.6 contains a partial listing of Cliphist.

Figure 9.6: The Summary Data Set Cliphist

Summary Data Set for Gap Measurements

Day	GapX	GapS	GapE	GapN
1	14.904	0.18716	14.9362	5
2	15.014	0.09317	14.9595	5
3	14.866	0.25006	14.9315	5
4	15.048	0.23732	14.9664	5
5	15.024	0.26792	14.9837	5

There are five variables in the data set Cliphist.

Day contains the subgroup index.
GapX contains the subgroup means.
GapS contains the subgroup standard deviations.
GapE contains the subgroup exponentially weighted moving averages.
GapN contains the subgroup sample sizes.

Note that the summary statistic variables are named by adding the suffix characters X, S, E, and N to the process Gap specified in the EWMACHART statement. In other words, the variable naming convention for OUTHISTORY= data sets is the same as that for HISTORY= data sets.

For more information, see OUTHISTORY= Data Set.