PCHART Statement: ANOM Procedure

Saving Decision Limits

Note: See Saving Decision Limits Using ANOM PCHART in the SAS/QC Sample Library.

You can save the decision limits for an ANOM p chart in a SAS data set.

The following statements read the number of c-sections per group from the data set CSection (see Creating ANOM Charts for Proportions from Group Counts) and save the decision limits displayed in Figure 4.11 in a data set named CSectionLim:

proc anom data=Csection;
   pchart Csections*ID / groupn    = Total
                         outlimits = CsectionLim
                         nochart;
run;

The OUTLIMITS= option names the data set containing the decision limits, and the NOCHART option suppresses the display of the chart. The data set CSectionLim is listed in Figure 4.15.

Figure 4.15: The Data Set CSectionLim with Decision Limits

Decision Limits for the Proportion of Cesarean Sections

_VAR_	_GROUP_	_TYPE_	_LIMITN_	_ALPHA_	_LDLP_	_P_	_UDLP_	_LIMITK_
Csections	ID	ESTIMATE	V	0.05	V	0.16680	V	29

The data set CSectionLim contains one observation with the limits for the response CSections. The variables _LDLP_ and _UDLP_ contain the lower and upper decision limits, and the variable _P_ contains the central line. The value of _LIMITN_ is the nominal sample size associated with the decision limits, the value of _LIMITK_ is the number of groups, and the value of _ALPHA_ is the significance level associated with the decision limits. The variables _VAR_ and _GROUP_ are bookkeeping variables that save the response and group-variable. The variable _TYPE_ is a bookkeeping variable that indicates whether the value of _P_ is an estimate or a known (standard) value. Typically, the value of _TYPE_ is 'ESTIMATE.'

For more information, see the section OUTLIMITS= Data Set.

Note: See Saving ANOM PCHART Summary Statistics and Decision Limits in the SAS/QC Sample Library.

You can create an output data set containing both decision limits and summary statistics with the OUTTABLE= option, as illustrated by the following statements:

proc anom data=Csection;
   pchart Csections*ID / groupn   = Total
                         outtable = CsectionTab
                         nochart;
run;

A partial listing of the data set CSectionTab is shown in Figure 4.16.

Figure 4.16: The Data Set CSectionTab

Proportions and Decision Limits for Cesarean Sections

_VAR_	ID	_ALPHA_	_LIMITN_	_SUBN_	_LDLP_	_SUBP_	_P_	_UDLP_
Csections	1A	0.05	923	923	0.13658	0.16251	0.16680	0.19703
Csections	1K	0.05	298	298	0.10355	0.15101	0.16680	0.23006
Csections	1B	0.05	170	170	0.08059	0.20000	0.16680	0.25302
Csections	1D	0.05	132	132	0.06814	0.13636	0.16680	0.26547
Csections	3I	0.05	106	106	0.05608	0.18868	0.16680	0.27752
Csections	3M	0.05	105	105	0.05553	0.11429	0.16680	0.27807
Csections	1E	0.05	77	77	0.03609	0.12987	0.16680	0.29752
Csections	1N	0.05	74	74	0.03338	0.25676	0.16680	0.30023
Csections	1Q	0.05	69	69	0.02849	0.10145	0.16680	0.30512
Csections	3H	0.05	65	65	0.02417	0.16923	0.16680	0.30943

This data set contains one observation for each group sample. The variables _SUBP_ and _SUBN_ contain the group proportions and group sample sizes. The variables _LDLP_ and _UDLP_ contain the lower and upper decision limits, and the variable _P_ contains the central line. The variables _VAR_ and ID contain the response name and values of the group-variable, respectively. For more information, see OUTTABLE= Data Set.

An OUTTABLE= data set can be read later as a TABLE= data set. For example, the following statements read the information in CSectionTab and display an ANOM p chart (not shown here) identical to the chart in Figure 4.11:

title 'Analysis of C-Sections';
proc anom table=CSectionTab;
   pchart CSections*id;
label _subp_ = 'Proportion of Cesarean Sections';
run;

Because the ANOM procedure simply displays the information in a TABLE= data set, you can use TABLE= data sets to create specialized ANOM charts. For more information, see TABLE= Data Set.