Saving Control Limits

[See SHWXCHR in the SAS/QC Sample Library]You can save the control limits for an chart in a SAS data set; this enables you to apply the control limits to future data (see Reading Preestablished Control Limits) or modify the limits with a DATA step program.

The following statements read measurements from the data set Partgaps (see Creating Charts for Means from Raw Data) and save the control limits displayed in Figure 13.33.7 in a data set named Gaplim:

proc shewhart data=Partgaps;
   xchart Partgap*Sample / outlimits = Gaplim
                           nochart;
run;

The OUTLIMITS= option names the data set containing the control limits, and the NOCHART option suppresses the display of the chart. The data set Gaplim is listed in Figure 13.33.12.

The data set Gaplim contains one observation with the limits for process Partgap. The variables _LCLX_ and _UCLX_ contain the lower and upper control limits for the means, and the variable _MEAN_ contains the central line. The value of _MEAN_ is an estimate of the process mean, and the value of _STDDEV_ is an estimate of the process standard deviation . The value of _LIMITN_ is the nominal sample size associated with the control limits, and the value of _SIGMAS_ is the multiple of associated with the control limits. The variables _VAR_ and _SUBGRP_ are bookkeeping variables that save the process and subgroup-variable. The variable _TYPE_ is a bookkeeping variable that indicates whether the values of _MEAN_ and _STDDEV_ are estimates or standard values.

The variables _LCLR_, _R_, and _UCLR_ are not used to create charts, but they are included so the data set Gaplim can be used to create an chart; see XRCHART Statement If you specify the STDDEVIATIONS option in the XCHART statement, the variables _LCLS_, _S_, and _UCLS_ are included in the OUTLIMITS= data set. These variables can be used to create an chart; see XSCHART Statement For more information, see OUTLIMITS= Data Set.

You can create an output data set containing both control limits and summary statistics with the OUTTABLE= option, as illustrated by the following statements:

proc shewhart data=Partgaps;
   xchart Partgap*Sample / outtable=Gaptable
                           nochart;
run;

The data set Gaptable is listed in Figure 13.33.13.

This data set contains one observation for each subgroup sample. The variables _SUBX_ and _SUBN_ contain the subgroup means and sample sizes. The variables _LCLX_ and _UCLX_ contain the lower and upper control limits, and the variable _MEAN_ contains the central line. The variables _VAR_ and Sample contain the process name and values of the subgroup-variable, respectively. For more information, see OUTTABLE= Data Set.

An OUTTABLE= data set can be read later as a TABLE= data set. For example, the following statements read Gaptable and display an chart (not shown here) identical to the chart in Figure 13.33.7:

title 'Mean Chart for Gap Widths';
proc shewhart table=Gaptable;
   xchart Partgap*Sample;
label _SUBX_ = 'Gap Width';
run;

Because the SHEWHART procedure simply displays the information in a TABLE= data set, you can use TABLE= data sets to create specialized control charts (see Specialized Control Charts).

For more information, see TABLE= Data Set.