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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.
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