Overview
The XRCHART statement creates 
and R charts for subgroup
means and ranges, which are used to analyze the
central tendency and variability of a process.
You can use options in the XRCHART statement to
- compute control limits from the data based on a multiple of
the standard error of the plotted means and ranges or
as probability limits
- tabulate subgroup sample sizes,
subgroup means, subgroup ranges, control limits, and other information
- save control limits in an output data set
- save subgroup sample sizes, subgroup means, and subgroup ranges
in an output data set
- read preestablished control limits from a data set
- apply tests for special causes (also known as runs tests and
Western Electric rules)
- specify a method for estimating the process
standard deviation
- specify a known (standard) process mean and standard deviation
for computing control limits
- display distinct sets of control limits for data from
successive time phases
- add block legends and symbol markers to reveal
stratification in process data
- superimpose stars at points to
represent related multivariate factors
- clip extreme points to make the charts more readable
- display vertical and horizontal reference lines
- control axis values and labels
- control layout and appearance of the chart
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
