TEST Statement
 TEST < H= effects >
E= effect ;
Although an F value is computed for all SS in the analysis
using the residual MS as an error term, you can request
additional F tests using other effects as error terms.
You need a TEST statement when a nonstandard
error structure (as in a split plot) exists.
Caution: The ANOVA procedure does not check any of the
assumptions underlying the F statistic.
When you specify a TEST statement, you
assume sole responsibility for the validity
of the F statistic produced.
To help validate a test, you may want to use the GLM procedure
with the RANDOM statement and inspect the expected mean squares.
In the GLM procedure, you can also use
the TEST option in the RANDOM statement.
You can use as many TEST statements as you want,
provided that they appear after the MODEL statement.
You can specify the following terms in the TEST statement.
 H=effects

specifies which effects in the preceding model
are to be used as hypothesis (numerator) effects.
 E=effect

specifies one, and only one, effect to
use as the error (denominator) term.
The E= specification is required.
The following example uses two TEST statements and is
appropriate for analyzing a splitplot design.
proc anova;
class a b c;
model y=ab(a)c;
test h=a e=b(a);
test h=c a*c e=b*c(a);
run;
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.