Output Data Sets

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MRCHART Statement

Output Data Sets

OUTLIMITS= Data Set

The OUTLIMITS= data set saves control limits and control limit parameters. The following variables can be saved:

Table 36.23: OUTLIMITS= Data Set

Variable	Description
_ALPHA_	probability ( $\alpha$ ) of exceeding limits
_CP_	capability index C_p
_CPK_	capability index C_pk
_CPL_	capability index CPL
_CPM_	capability index C_pm
_CPU_	capability index CPU
_INDEX_	optional identifier for the control limits specified with the OUTINDEX= option
_LCLM_	lower control limit for subgroup median
_LCLR_	lower control limit for subgroup range
_LIMITN_	sample size associated with the control limits
_LSL_	lower specification limit
_MEAN_	estimate of process mean ( $\bar{M}$ , $\tilde{M}$ , $\overline{\overline{X}}$ , or $\mu_{0}$ )
_R_	value of central line on range chart
_SIGMAS_	multiple (k) of standard error of M_i or R_i
_STDDEV_	process standard deviation ( $\hat{\sigma}$ or $\sigma_{0}$ )
_SUBGRP_	subgroup-variable specified in the MRCHART statement
_TARGET_	target value
_TYPE_	type (estimate or standard value) of _MEAN_ and _STDDEV_
_UCLM_	upper control limit for subgroup median
_UCLR_	upper control limit for subgroup range
_USL_	upper specification limit
_VAR_	process specified in the XRCHART statement

Notes:

If the control limits vary with subgroup sample size, the special missing value V is assigned to the variables _LIMITN_, _LCLM_, _UCLM_, _LCLR_, _R_, and _UCLR_.
If the limits are defined in terms of a multiple k of the standard errors of M_i and R_i, the value of _ALPHA_ is computed as $\alpha=2(1-F_{med}(k,n))$ , where F_med(·,n) is the cumulative distribution function of the median of a random sample of n standard normally distributed observations, and n is the value of _LIMITN_. If _LIMITN_ has the special missing value V, this value is assigned to _ALPHA_.
If the limits are probability limits, the value of _SIGMAS_ is computed as $k=F_{med}^{-1}(1-\alpha/2,n)$ , where F_med^-1(·,n) is the inverse distribution function of the median of a random sample of n standard normally distributed observations, and n is the value of _LIMITN_. If _LIMITN_ has the special missing value V, this value is assigned to _SIGMAS_.
The variables _CP_, _CPK_, _CPL_, _CPU_, _LSL_, and _USL_ are included only if you provide specification limits with the LSL= and USL= options. The variables _CPM_ and _TARGET_ are included if, in addition, you provide a target value with the TARGET= option. See "Capability Indices" for computational details.
Optional BY variables are saved in the OUTLIMITS= data set.

The OUTLIMITS= data set contains one observation for each process specified in the MRCHART statement. For an example of an OUTLIMITS= data set, see "Saving Control Limits".

OUTHISTORY= Data Set

The OUTHISTORY= option saves subgroup summary statistics. The following variables are saved:

the subgroup-variable
a subgroup median variable named by process suffixed with M
a subgroup range variable named by process suffixed with R
a subgroup sample size variable named by process suffixed with N

Given a process name that contains eight characters, the procedure first shortens the name to its first four characters and its last three characters, and then it adds the suffix. For example, the procedure shortens the process DIAMETER to DIAMTER before adding the suffix.

Variables containing subgroup medians, ranges, and sample sizes are created for each process specified in the MRCHART statement. For example, consider the following statements:

   proc shewhart data=steel;
      mrchart (width diameter)*lot / outhistory=summary;
   run;

The data set SUMMARY contains variables named LOT, WIDTHM, WIDTHR, WIDTHN, DIAMTERM, DIAMTERR, and DIAMTERN.

Additionally, the following variables, if specified, are included:

BY variables
block-variables
symbol-variable
ID variables
_PHASE_ (if the OUTPHASE= option is specified)

For an example of an OUTHISTORY= data set, see "Saving Summary Statistics".

OUTTABLE= Data Set

The OUTTABLE= data set saves subgroup summary statistics, control limits, and related information. The following variables are saved:

Variable Description

_ALPHA_ probability ( $\alpha$ ) of exceeding control limits

_EXLIM_ control limit exceeded on median chart

_EXLIMR_ control limit exceeded on range chart

_LCLM_ lower control limit for median

_LCLR_ lower control limit for range

_LIMITN_ nominal sample size associated with the control limits

_MEAN_ estimate of process mean ( $\bar{M}$ , $\tilde{M}$ , $\overline{\overline{X}}$ , or $\mu_{0}$ )

_R_ average range

_SIGMAS_ multiple (k) of the standard error associated with control limits

subgroup values of the subgroup variable

_SUBM_ subgroup median

_SUBN_ subgroup sample size

_SUBR_ subgroup range

_TESTS_ tests for special causes signaled on median chart

_TESTS2_ tests for special causes signaled on range chart

_UCLM_ upper control limit for mean

_UCLR_ upper control limit for range

_VAR_ process specified in the MRCHART statement

In addition, the following variables, if specified, are included:

BY variables
block-variables
symbol-variable
ID variables
_PHASE_ (if the READPHASES= option is specified)

Notes:

Either the variable _ALPHA_ or the variable _SIGMAS_ is saved depending on how the control limits are defined (with the ALPHA= or SIGMAS= options, respectively, or with the corresponding variables in a LIMITS= data set).
The variable _TESTS_ is saved if you specify the TESTS= option. The k^th character of a value of _TESTS_ is k if Test k is positive at that subgroup. For example, if you request all eight tests and Tests 2 and 8 are positive for a given subgroup, the value of _TESTS_ has a 2 for the second character, an 8 for the eighth character, and blanks for the other six characters.
The variable _TESTS2_ is saved if you specify the TESTS2= option. The k^th character of a value of _TESTS2_ is k if Test k is positive at that subgroup.
The variables _VAR_, _EXLIM_, _EXLIMR_, _TESTS_, and _TESTS2_ are character variables of length 8. The variable _PHASE_ is a character variable of length 16. All other variables are numeric.

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

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