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| RCHART Statement |
| See SHWREX1 in the SAS/QC Sample Library |
This example demonstrates how to create R charts
with probability limits.
The following statements read the disk drive test times
from the data set DISKS (see
"Creating Range Charts from Raw Data" ) and create
the R chart shown in Output 36.1.1:
title 'Probability Limits for Disk Drive Test Times';
symbol v=dot c=rose;
proc shewhart data=disks;
rchart time*lot / alpha = .01
outlimits = dlimits
cframe = vipb
cinfill = ywh
cconnect = rose;
run;
The ALPHA= option specifies the probability (
) that a
subgroup range exceeds its limits.
Here, the limits are computed so that the probability
that a range
is less than the lower limit is
,and the probability that a range
is greater than the upper limit is
.This assumes
that the measurements are normally distributed.
The OUTLIMITS= option names an output data set that saves
the probability limits.
A listing of DLIMITS is shown in Output 36.1.2.
The variable _ALPHA_ saves the value of
.Note that, in this case, the upper probability limit is
equivalent to an upper
limit.
Output 36.1.1: R Chart with Probability Limits
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Output 36.1.2: Probability Limits Data Set
Since all the points fall within the probability limits, it can be concluded that the variability in the disk drive performance is in statistical control.
The following statements apply the limits in DLIMITS to the times in the data set DISKS2 (see "Reading Preestablished Control Limits" ):
title 'Probability Limits Applied to Second Set of Test Times';
symbol v=dot c=rose;
proc shewhart data=disks2 limits=dlimits;
rchart time*lot / readalpha
cframe = vipb
cinfill = ywh
cconnect = rose;
run;
The READALPHA option* specifies that the variable _ALPHA_, rather than the variable _SIGMAS_, is to be read from the LIMITS= data set. Thus the limits displayed in the chart, shown in Output 36.1.3, are probability limits.
Output 36.1.3: Reading Probability Limits from a LIMITS= Data Set
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