So truly you have no replication of levels of FS, and so no p-values are possible. The month-to-month replication do not overcome the fact that there are no replications of levels of FS. ... View more

/*G-side Random Effect*/ proc mixed data=Waterford covtest; class frt ; model ph = week / s ddfm=kr; random int week/subject=frt s; run; /*R-side Random Effect*/ proc mixed data=Waterford covtest; class frt week; model ph = week / s ddfm=kr; repeated week/ type=ar(1) sub=frt ; run; R-side Random Effect Model has less AIC,BIC than G-side, then I would like to take R-side Model. ... View more

I've corrected that one in SAS. It is a letter from a treatment name with a space in between. I would like to have a pairwise comparison of treatments ( fertilizers) with letters. The hypothesis is that the fertilizers will increase the plant height.    I tried adding;    Proc gee Data =Waterford; class frt week; model ph=frt; repeated subject=frt/type=ar(1) covb corrb; lsmeans frt/ pdiff=all adjust=tukey LINES; run;   Error: Only CLASS variables allowed in this effect. Is it because we added cov, which is already LS means of covariances?      Thanks Steve!        ... View more

Yes, I use SAS studio. Thank you very much again. ... View more