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XSCHART Statement

Input Data Sets

DATA= Data Set

You can read raw data (process measurements) from a DATA= data set specified in the PROC SHEWHART statement. Each process specified in the XSCHART statement must be a SAS variable in the DATA= data set. This variable provides measurements that must be grouped into subgroup samples indexed by the subgroup-variable. The subgroup-variable, which is specified in the XSCHART statement, must also be a SAS variable in the DATA= data set. Each observation in a DATA= data set must contain a value for each process and a value for the subgroup-variable. If the i th subgroup contains ni items, there should be ni consecutive observations for which the value of the subgroup variable is the index of the i th subgroup. For example, if each subgroup contains five items and there are 30 subgroup samples, the DATA= data set should contain 150 observations.

Other variables that can be read from a DATA= data set include

By default, the SHEWHART procedure reads all the observations in a DATA= data set. However, if the DATA= data set includes the variable _PHASE_, you can read selected groups of observations (referred to as phases) by specifying the READPHASES= option (for an example, see "Displaying Stratification in Phases" ).

For an example of a DATA= data set, see "Creating Charts for Means and Standard Deviations from Raw Data" .

LIMITS= Data Set

You can read preestablished control limits (or parameters from which the control limits can be calculated) from a LIMITS= data set specified in the PROC SHEWHART statement. For example, the following statements read control limit information from the data set CONLIMS:*

   proc shewhart data=info limits=conlims;
      xschart weight*batch;
   run;

The LIMITS= data set can be an OUTLIMITS= data set that was created in a previous run of the SHEWHART procedure. Such data sets always contain the variables required for a LIMITS= data set. The LIMITS= data set can also be created directly using a DATA step. When you create a LIMITS= data set, you must provide one of the following:


In addition, note the following:


For an example, see "Reading Preestablished Control Limits" .

HISTORY= Data Set

You can read subgroup summary statistics from a HISTORY= data set specified in the PROC SHEWHART statement. This allows you to reuse OUTHISTORY= data sets that have been created in previous runs of the SHEWHART, CUSUM, or MACONTROL procedures or to read output data sets created with SAS summarization procedures, such as PROC MEANS.

A HISTORY= data set used with the XSCHART statement must contain the following variables:


The names of the subgroup mean, subgroup standard deviation, and subgroup sample size variables must be the process name concatenated with the special suffix characters X, S, and N, respectively. For example, consider the following statements:

   proc shewhart history=summary;
      xschart (weight yldstren)*batch;
   run;

The data set SUMMARY must include the variables BATCH, WEIGHTX, WEIGHTS, WEIGHTN, YLDSRENX, YLDSRENS, and YLDSRENN.

Note that if you specify a process name that contains eight characters, the names of summary variables must be formed from the first four characters and the last three characters of the process name, suffixed with the appropriate character.

Other variables that can be read from a HISTORY= data set include

By default, the SHEWHART procedure reads all of the observations in a HISTORY= data set. However, if the data set includes the variable _PHASE_, you can read selected groups of observations (referred to as phases) by specifying the READPHASES= option (see "Displaying Stratification in Phases" for an example).

For an example of a HISTORY= data set, see "Creating Charts for Means and Standard Deviations from Summary Data" .

TABLE= Data Set

You can read summary statistics and control limits from a TABLE= data set specified in the PROC SHEWHART statement. This enables you to reuse an OUTTABLE= data set created in a previous run of the SHEWHART procedure. Because the SHEWHART procedure simply displays the information read from a TABLE= data set, you can use TABLE= data sets to create specialized control charts. Examples are provided in Chapter 49, "Specialized Control Charts."

The following table lists the variables required in a TABLE= data set used with the XSCHART statement:

Table 44.25: Variables Required in a TABLE= Data Set
Variable Description
_LCLS_lower control limit for standard deviation
_LCLX_lower control limit for mean
_LIMITN_nominal sample size associated with the control limits
_MEAN_process mean
_S_average standard deviation
subgroup-variablevalues of the subgroup-variable
_SUBN_subgroup sample size
_SUBS_subgroup standard deviation
_SUBX_subgroup mean
_UCLS_upper control limit for standard deviation
_UCLX_upper control limit for mean
Other variables that can be read from a TABLE= data set include

For an example of a TABLE= data set, see "Saving Control Limits" .

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