See MACEW1 in the SAS/QC Sample LibraryIn 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.