I am trying to see if I have a significant interaction between both locations of my research study. I am a SAS novice and cannot figure out the code needed. An example of my data is below if anyone can help! (I have been using SAS studio 9.4)
In my previous trials (3 way factorial) I used this code:
proc glimmix data=last_rating;
class FactorA FactorB FactorC Date Rep;
model cover = FactorA | FactorB| FactorC |Date;
random Rep;
run;
title 'ANOVA Percent Cover';
proc glimmix data=last_rating;
class FactorA FactorB FactorC Rep;
model cover = FactorA |FactorB| FactorC;
random Rep FactorA*Rep FactorA*FactorB*Rep;
lsmeans FactorA FactorB FactorC FactorA*FactorB FactorA*FactorC FactorB*FactorC FactorA*FactorB*FactorC / pdiff lines;
run;
However, for this trial I am only looking at 2 factors (seeding interval and herbicide) but I have added a second location unlike my previous trials. Can I use location as Factor C?
Data example:
TRT Seed_Int Herbicide Rep Location Date_1 Date_2 Date_3 Date_4 Date_5 Date_6
101 0 GO 1 1 45 90 95 95 100 100
102 0 SZ 1 1 45 95 95 95 100 100
103 0 AS 1 1 15 80 95 90 90 100
104 0 4XT 1 1 25 85 100 95 100 100
105 0 NON 1 1 50 100 100 100 100 100
106 3 GO 1 1 10 80 95 95 100 100
107 3 SZ 1 1 10 85 95 95 100 100
108 3 AS 1 1 10 85 90 90 95 100
109 3 4XT 1 1 15 90 100 95 95 100
110 3 NON 1 1 15 85 95 95 95 100
401 3 SZ 4 2 10 75 90 85 95 90
402 0 4XT 4 2 25 85 95 80 95 90
403 7 AS 4 2 0 60 85 80 95 90
404 14 GO 4 2 0 5 55 70 90 90
405 7 NON 4 2 0 40 80 80 95 95
406 3 4XT 4 2 10 85 85 85 95 90
407 0 SZ 4 2 15 80 75 75 90 85
408 7 GO 4 2 0 45 70 80 95 85
409 7 SZ 4 2 0 45 65 75 95 85
410 0 AS 4 2 10 30 45 80 85 70
411 7 4XT 4 2 0 30 55 75 85 80
