Note: See Saving Decision Limits Using ANOM UCHART in the SAS/QC Sample Library.
You can save the decision limits for an ANOM u chart in a SAS data set.
The following statements read the data set MSAdmits
(see Creating ANOM Charts for Rates from Group Counts) and save the decision limits displayed in Figure 4.18 in a data set named MSLimits
:
proc anom data=MSAdmits; uchart Count*ID / groupn = KMemberYrs outlimits = MSLimits nochart; run;
The GROUPN= option specifies the number of opportunity units for each group. The OUTLIMITS= option names the data set containing
the decision limits, and the NOCHART option suppresses the display of the chart. The data set MSLimits
is listed in Figure 4.19.
Figure 4.19: Data Set MSLimits Containing Decision Limits
The data set MSLimits
contains one observation with the limits for response Count
. The variables _LDLU_
and _UDLU_
contain the lower and upper decision limits, and the variable _U_
contains the central line. The value of _LIMITN_
is the nominal number of units associated with the decision limits (which are varying in this case), the value of _LIMITK_
is the number of groups, and the value of _ALPHA_
is the significance level of 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 _U_
is an estimate or standard (known) value. Typically, the value of _TYPE_
is 'ESTIMATE.' For more information, see OUTLIMITS= Data Set.
Alternatively, you can use the OUTTABLE= option to create an output data set that saves both the decision limits and the group statistics, as illustrated by the following statements:
proc anom data=MSAdmits; uchart Count*ID / groupn = KMemberYrs outtable = MSTable nochart; run;
The a partial listing of the data set MSTable
is shown in Figure 4.20.
Figure 4.20: Data Set MSTable
Rates and Decision Limits for Medical/Surgical Admissions |
_VAR_ | ID | _ALPHA_ | _LIMITN_ | _SUBN_ | _LDLU_ | _SUBU_ | _U_ | _UDLU_ | _EXLIM_ |
---|---|---|---|---|---|---|---|---|---|
Count | 1A | 0.05 | 58.1003 | 58.1003 | 31.2135 | 32.3922 | 33.0789 | 34.9443 | |
Count | 1B | 0.05 | 12.8933 | 12.8933 | 28.2837 | 33.9710 | 33.0789 | 37.8741 | |
Count | 1C | 0.05 | 2.6633 | 2.6633 | 22.1550 | 37.5481 | 33.0789 | 44.0028 | |
Count | 1D | 0.05 | 6.8545 | 6.8545 | 26.3640 | 46.3929 | 33.0789 | 39.7938 | UPPER |
Count | 1E | 0.05 | 4.2691 | 4.2691 | 24.4964 | 40.0554 | 33.0789 | 41.6615 | |
Count | 1F | 0.05 | 0.2020 | 0.2020 | 0.0000 | 34.6535 | 33.0789 | 73.0631 | |
Count | 1G | 0.05 | 0.8626 | 0.8626 | 13.7710 | 32.4606 | 33.0789 | 52.3868 | |
Count | 1H | 0.05 | 2.3985 | 2.3985 | 21.5579 | 46.6959 | 33.0789 | 44.5999 | UPPER |
Count | 1I | 0.05 | 0.5034 | 0.5034 | 7.7757 | 49.6607 | 33.0789 | 58.3822 | |
Count | 1J | 0.05 | 1.5918 | 1.5918 | 18.8992 | 33.9249 | 33.0789 | 47.2587 |
This data set contains one observation for each group. The variables _SUBU_
and _SUBN_
contain the rate of occurrence and the number of opportunity units for each group. The variables _LDLU_
and _UDLU_
contain the lower and upper decision limits, and the variable _U_
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.
Note: See Saving ANOM UCHART Summary Statistics and Decision Limits in the SAS/QC Sample Library.
An OUTTABLE= data set can be read later as a TABLE= data set by the ANOM procedure. For example, the following statements
read MSTable
and display a u chart (not shown here) identical to the chart in Figure 4.18:
ods graphics off; title 'Analysis of Medical/Surgical Admissions'; proc anom table=MSTable; uchart Count*id ; label _subu_ = 'Admits per 1000 Member Years'; 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 the section TABLE= Data Set.