Date:         Sat, 28 Jun 2008 12:13:15 -0400
Reply-To:     "Ingrid K. Friberg" <ikf@HOTMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         "Ingrid K. Friberg" <ikf@HOTMAIL.COM>
Subject:      Contrast in Proc Mixed (GLIMMIX)

Hi, I am trying to learn about contrasts.  I have a variable (woodfinal)
with three levels (0,1,2).  And am trying to use the contrasts to
replicate the F-test from the type 3 test of fixed effects to help me
understand and eventually gat joint F-test for two or more variables (as I
did in NLMIXED).

The contrast that I used is below, but I need two degrees of freedom, and
can't figure this out.  I saw soemthing about generating an equation to
think it through, and that gave me the idea 3, -3, 0, but that gave me the
same answer as this one.  Or is this not doing it because I have a random
effect?

Thanks...

contrast 'wood' woodfinal 1 -1 0;


Effect      woodfinal  Estimate      Error       DF    t Value    Pr > |t|

Intercept              -1.0541      0.1748      183      -6.03      <.0001
babyagedays            0.01269    0.002082     2288       6.09      <.0001
babyagedays1          -0.02900    0.007147     2288      -4.06      <.0001
babyagedays2           0.05608     0.01870     2288       3.00      0.0027
woodfinal       0      -0.2243      0.1267     2288      -1.77      0.0767
woodfinal       1       0.2923      0.2186     2288       1.34      0.1812
woodfinal       2            0           .        .        .         .

                                Type III Tests of Fixed Effects

                                        Num      Den
                       Effect            DF       DF    F Value    Pr > F

                       babyagedays        1     2288      37.13    <.0001
                       babyagedays1       1     2288      16.47    <.0001
                       babyagedays2       1     2288       9.00    0.0027
                       woodfinal          2     2288       3.44    0.0322


                                           Contrasts

                                       Num      Den
                        Label           DF       DF    F Value    Pr > F

                        wood             1     2288       5.59    0.0181