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Statistical Graphics Using ODS

Principal Component Analysis Plots with PROC PRINCOMP

This example is taken from Example 70.3 of Chapter 70, The PRINCOMP Procedure. The following statements create a SAS data set that contains ratings of job performance of police officers:

options validvarname=any;

data Jobratings;
   input ('Communication Skills'n
          'Problem Solving'n
          'Learning Ability'n
          'Judgment Under Pressure'n
          'Observational Skills'n
          'Willingness to Confront Problems'n
          'Interest in People'n
          'Interpersonal Sensitivity'n
          'Desire for Self-Improvement'n
          'Appearance'n
          'Dependability'n
          'Physical Ability'n
          'Integrity'n
          'Overall Rating'n) (1.);
   datalines;
26838853879867

   ... more lines ...   

;

The following statements set the output style to RTF and run PROC PRINCOMP:

ods listing style=rtf;
ods graphics on;

proc princomp data=Jobratings(drop='Overall Rating'n) n=2
              plots=(Matrix PatternProfile);
run;

The plots are requested by the PLOTS=(MATRIX PATTERNPROFILE) option. The results, shown in Figure 21.11, contain the default scree and variance-explained plots, along with a scatter plot matrix of component scores and a pattern profile plot.

Figure 21.11 Principal Components Using the RTF Style
Principal Components Using the RTF StylePrincipal Components Using the RTF Style, continuedPrincipal Components Using the RTF Style, continued

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