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solution
2012 Nov 07
2
LMER vs PROC MIXED estimates
...rent.
My SAS code is as follows (trying to randomise X2 and Intercept):
PROC MIXED DATA = <DATASET NAME> NAMELEN=100 METHOD=REML MAXITER=1000;
CLASS GEOGRAPHY;
MODEL y = X1 X2 X3/SOLUTION;
RANDOM INTERCEPT X2/SOLUTION SUBJECT = GEOGRAPHY;
ODS OUTPUT SOLUTIONR=RANDOM_EFFECT;
ODS OUTPUT SOLUTIONF= FIXED_EFFECT;
RUN;
the equivalent code that I was writting in R is as follows:
testdata <- read.csv("adstest.csv",header=TRUE,sep=",")
attach(testdata)
library(lme4)
options(contrasts = c(factor = "contr.SAS",ordered = "contr.poly"))
lmm.2=lmer(y~...