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MRCHART Statement |
See SHWMR1 in the SAS/QC Sample Library |
You can save the control limits for median and range charts 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 DETERGNT (see "Creating Charts for Medians and Ranges from Raw Data" ) and save the control limits displayed in Figure 36.2 in a data set named DETLIM:
title 'Control Limits for Detergent Box Weights'; proc shewhart data=detergnt; mrchart weight*lot / outlimits=detlim nochart; run;
The OUTLIMITS= option names the data set containing
the control limits, and the NOCHART option suppresses the display
of the charts. The data set DETLIM is listed in Figure 36.6.
The data set DETLIM contains one observation with the limits for process WEIGHT. The variables _LCLM_ and _UCLM_ contain the control limits for the medians, and the variable _MEAN_ contains the central line. The variables _LCLR_ and _UCLR_ contain the control limits for the ranges, and the variable _R_ contains the central line. The values of _MEAN_ and _STDDEV_ are estimates of the process mean and 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. 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:
title 'Summary Statistics and Control Limit Information'; proc shewhart data=detergnt; mrchart weight*lot / outtable=dtable nochart; run;
This data set contains one observation for each subgroup sample. The variables _SUBMED_, _SUBR_, and _SUBN_ contain the subgroup medians, subgroup ranges, and subgroup sample sizes. The variables _LCLM_ and _UCLM_ contain the control limits for the median chart, and the variables _LCLR_ and _UCLR_ contain the control limits for the range chart. The variable _MEAN_ contains the central line for the median chart, and the variable _R_ contains the central line for the range chart. The variables _VAR_ and BATCH contain the process name and values of the subgroup-variable, respectively. For more information, see "OUTTABLE= Data Set".
The data set DTABLE is listed in Figure 36.7.
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An OUTTABLE= data set can be read later as a TABLE= data set.
For example, the following statements read DTABLE
and display charts (not shown here) identical to those
in Figure 36.2:
title 'Median and Range Charts for Detergent Box Weight'; proc shewhart table=dtable; mrchart weight*lot; 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 Chapter 49, "Specialized Control Charts"). For more information, see "TABLE= Data Set".
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