CCHART Statement

Syntax

The basic syntax for the CCHART statement is as follows:

CCHART process*subgroup-variable ;

The general form of this syntax is as follows:

CCHART (processes)*subgroup-variable <(block-variables ) >

< =symbol-variable | ='character' > < / options >;

You can use any number of CCHART statements in the SHEWHART procedure. The components of the CCHART statement are described as follows.

process

processes

identify one or more processes to be analyzed. The specification of process depends on the input data set specified in the PROC SHEWHART statement.

If numbers of nonconformities per subgroup are read from a DATA= data set, process must be the name of the variable containing the numbers of nonconformities.

For an example, see "Creating c Charts from Defect Count Data" .
If numbers of nonconformities per unit and numbers of inspection units per subgroup are read from a HISTORY= data set, process must be the common prefix of the appropriate variables in the HISTORY= data set.

For an example, see "Creating c Charts from Nonconformities per Unit" .
If numbers of nonconformities per subgroup, numbers of inspection units per subgroup, and control limits are read from a TABLE= data set, process must be the value of the variable _VAR_ in the TABLE= data set.

For an example, see "Saving Control Limits" .

A process is required. If you specify more than one process, enclose the list in parentheses. For example, the following statements request distinct c charts for DEFECTS and FLAWS:

   proc shewhart data=info;
      cchart (defects flaws)*sample;
   run;

subgroup-variable

is the variable that identifies subgroups in the data. The subgroup-variable is required. In the preceding CCHART statement, SAMPLE is the subgroup variable. For details, see "Subgroup Variables" .

block-variables

are optional variables that group the data into blocks of consecutive subgroups. These blocks are labeled in a legend, and each block-variable provides one level of labels in the legend. See "Displaying Stratification in Blocks of Observations" for an example.

symbol-variable

is an optional variable whose levels (unique values) determine the symbol marker or character used to plot the number of nonconformities.

If you produce a chart on a line printer, an `A' is displayed for the points corresponding to the first level of the symbol-variable, a `B' is displayed for the points corresponding to the second level, and so on.
If you produce a chart on a graphics device, distinct symbol markers are displayed for points corresponding to the various levels of the symbol-variable. You can specify the symbol markers with SYMBOLn statements. See "Displaying Stratification in Levels of a Classification Variable" for an example.

character

specifies a plotting character for charts produced on line printers. For example, the following statements create a c chart using an asterisk (*) to plot the points:

   proc shewhart data=info;
      cchart defects*sample='*';
   run;

options

enhance the appearance of the chart, request additional analyses, save results in data sets, and so on. The "Summary of Options" section, which follows, lists all options by function. Chapter 46, "Dictionary of Options," describes each option in detail.

Summary of Options

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