The PLM Procedure

FILTER Statement

  • FILTER expression;

The FILTER statement enables you to filter the results of the PLM procedure, specifically the contents of ODS tables and the output data sets. There can be at most one FILTER statement per PROC PLM run, and the filter is applied to all BY groups and to all queries generated through WHERE expressions.

A filter expression follows the same pattern as a where-expression in the WHERE statement. The expressions consist of operands and operators. For more information about specifying where-expressions, see the WHERE statement for the PLM procedure and SAS Language Reference: Concepts.

Valid keywords for the formation of operands in the FILTER statement are shown in Table 87.6.

Table 87.6: Keywords for Filtering Results

Keyword

Description

Prob

Regular (unadjusted) p-values from t, F, or chi-square tests

ProbChi

Regular (unadjusted) p-values from chi-square tests

ProbF

Regular (unadjusted) p-values from F tests

ProbT

Regular (unadjusted) p-values from t tests

AdjP

Adjusted p-values

Estimate

Results displayed in "Estimates" column of ODS tables

Pred

Predicted values in SCORE output data sets

Resid

Residuals in SCORE output data sets.

Std

Standard errors in ODS tables and in SCORE results

Mu

Results displayed in the "Mean" column of ODS tables (this column is typically produced by the ILINK option)

tValue

The value of the usual t statistic

FValue

The value of the usual F statistic

Chisq

The value of the chi-square statistic

testStat

The value of the test statistic (a generic keyword for the 'tValue', 'FValue', and 'Chisq' tokens)

Lower

The lower confidence limit displayed in ODS tables

Upper

The upper confidence limit displayed in ODS tables

AdjLower

The adjusted lower confidence limit displayed in ODS tables

AdjUpper

The adjusted upper confidence limit displayed in ODS tables

LowerMu

The lower confidence limit for the mean displayed in ODS tables

UpperMu

The upper confidence limit for the mean displayed in ODS tables

AdjLowerMu

The adjusted lower confidence limit for the mean displayed in ODS tables

AdjUpperMu

The adjusted upper confidence limit for the mean displayed in ODS tables


When you write filtering expressions, be advised that filtering variables that are not used in the results are typically set to missing values. For example, the following statements select all results (filter nothing) because no adjusted p-values are computed:

proc plm restore=MyStore;
   lsmeans a / diff;
   filter adjp < 0.05;
run;

If the adjusted p-values are set to missing values, the condition adjp < 0.05 is true in each case (missing values always compare smaller than the smallest nonmissing value).

See Comparing Multiple B-Splines for an example of using the FILTER statement.

Filtering results has no affect on the item store contents that are displayed with the SHOW statement. However, BY-group selection with the WHERE statement can limit the amount of information that is displayed by the SHOW statements.