The UNIVARIATE Procedure

This example illustrates how to add insets with descriptive statistics to a comparative histogram; see Output 4.17.1. Three similar machines are used to attach a part to an assembly. One hundred assemblies are sampled from the output of each machine, and a part position is measured in millimeters. The following statements create the data set Machines, which contains the measurements in a variable named Position:

data Machines;
   input Position @@;
   label Position = 'Position in Millimeters';
   if      (_n_ <= 100) then Machine = 'Machine 1';
   else if (_n_ <= 200) then Machine = 'Machine 2';
   else                      Machine = 'Machine 3';
   datalines;
-0.17  -0.19  -0.24  -0.24  -0.12   0.07  -0.61   0.22   1.91  -0.08
-0.59   0.05  -0.38   0.82  -0.14   0.32   0.12  -0.02   0.26   0.19
-0.07   0.13  -0.49   0.07   0.65   0.94  -0.51  -0.61  -0.57  -0.51

   ... more lines ...   

 0.48   0.41   0.78   0.58   0.43   0.07   0.27   0.49   0.79   0.92
 0.79   0.66   0.22   0.71   0.53   0.57   0.90   0.48   1.17   1.03
;

The following statements create the comparative histogram in Output 4.17.1:

title 'Machine Comparison Study';
ods graphics off;
proc univariate data=Machines noprint;
   class Machine;
   histogram Position / nrows      = 3
                        intertile  = 1
                        midpoints  = -1.2 to 2.2 by 0.1
                        vaxis      =   0  to 16  by  4;
   inset mean std="Std Dev" / pos = ne format = 6.3;
run;

The INSET statement requests insets that contain the sample mean and standard deviation for each machine in the corresponding tile. The MIDPOINTS= option specifies the midpoints of the histogram bins.

Output 4.17.1 shows that the average position for Machines 2 and 3 are similar and that the spread for Machine 1 is much larger than for Machines 2 and 3.

A sample program for this example, uniex11.sas, is available in the SAS Sample Library for Base SAS software.