XCHART Statement: ANOM Procedure

Saving Summary Statistics for Groups

Note: See Saving Summary Statistics for Groups Using ANOM Charts 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.

Figure 4.25: The Summary Data Set LabelSummary

The Data Set LabelSummary

Position DeviationX DeviationS DeviationN
1 -0.022342 0.022805 10
2 0.016241 0.033478 10
3 0.006011 0.028847 10
4 0.064729 0.021492 10
5 0.008121 0.025920 10
6 -0.012812 0.015974 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.