SCHART Statement: SHEWHART Procedure

You can read raw data (process measurements) from a DATA= data set specified in the PROC SHEWHART statement. Each process specified in the SCHART statement must be a SAS variable in the DATA= data set. This variable provides measurements, which must be grouped into subgroup samples indexed by the values of the subgroup-variable. The subgroup-variable, which is specified in the SCHART 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 ith subgroup contains items, there should be consecutive observations for which the value of the subgroup-variable is the index of the ith 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 of 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) with the READPHASES= option (for an example, see Displaying Stratification in Phases.

For an example of a DATA= data set, see Creating Standard Deviation Charts from Raw Data.

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;
   schart 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; see Table 18.47. 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.

You can read subgroup summary statistics from a HISTORY= data set specified in the PROC SHEWHART statement. This enables 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 the MEANS procedure.

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

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

proc shewhart history=Summary;
   schart (Weight Yieldstrength)*Batch;
run;

The data set Summary must include the variables Batch, WeightS, WeightN, YieldstrengthS, and YieldstrengthN.

Note that if you specify a process name that contains 32 characters, the names of the summary variables must be formed from the first 16 characters and the last 15 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 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 Standard Deviation Charts from Subgroup Summary Data.

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 in a TABLE= data set, you can use TABLE= data sets to create specialized control charts. Examples are provided in Specialized Control Charts: SHEWHART Procedure.

Table 18.49 lists the variables required in a TABLE= data set used with the SCHART statement.

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

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