|
Chapter Contents |
Previous |
Next |
| XRCHART Statement |
| See SHWXR1 in the SAS/QC Sample Library |
In the previous example,
the OUTLIMITS= data set saved control limits
computed from the measurements in WAFERS.
This example shows how these limits can be applied
to new data provided in the following data set:
data wafers2;
input batch @;
do i=1 to 5;
input diamtr @;
output;
end;
drop i;
datalines;
26 34.99 34.99 35.00 34.99 35.00
27 34.99 35.01 34.98 34.98 34.97
28 35.00 34.99 34.99 34.99 35.01
29 34.98 34.96 34.98 34.98 34.99
30 34.98 35.00 34.98 34.98 34.99
31 35.00 35.00 34.99 35.01 35.01
32 35.00 34.99 34.98 34.98 35.00
33 34.98 35.00 34.99 35.00 35.01
34 35.00 34.97 35.00 34.99 35.01
35 34.99 34.99 34.98 34.99 34.98
36 35.01 34.98 34.99 34.99 35.00
37 35.01 34.99 34.97 34.98 35.00
38 34.98 34.99 35.00 34.98 35.00
39 34.99 34.99 34.99 34.99 35.01
40 34.99 35.01 35.00 35.01 34.99
41 34.99 35.00 34.99 34.98 34.99
42 35.00 34.99 34.98 34.99 35.00
43 34.99 34.98 34.98 34.99 34.99
44 35.00 35.00 34.98 35.00 34.99
45 34.99 34.99 35.00 34.99 34.99
;
The following statements create
and R
charts for the data in WAFERS2
using the control limits in WAFERLIM:
title 'Mean and Range Charts for Diameters';
symbol v=dot c=salmon;
proc shewhart data=wafers2 limits=waferlim;
xrchart diamtr*batch / cframe = bigb
cinfill = ywh
coutfill = ligr
cconnect = salmon;
run;
The charts are shown in Figure 43.9.
The LIMITS= option in the PROC SHEWHART statement specifies the
data set containing the control limits.
By default,*
this information is read from the first
observation in the LIMITS= data set for which
|
Note that the mean diameter of the
29 th batch lies below the lower control limit
in the
chart, signaling a special cause of variation.
In this example, the LIMITS= data set was created in a previous run of the SHEWHART procedure. You can also create a LIMITS= data set with the DATA step. See "LIMITS= Data Set" for details concerning the variables that you must provide.
|
Chapter Contents |
Previous |
Next |
Top |
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.