Hello All R Gurus
I'm a relatively new user to R and I'm having so problems fully grasping
the
contrasts notion. So any help will be appreciated.
Lately I've been playing around with lme and I was looking at the help files
of anova.lme where there is this example
options(contrasts = c("contr.treatment", "contr.poly"))
fm1BW.lme <- lme(weight ~ Time * Diet, BodyWeight,
random = ~ Time)
fm2BW.lme <- update(fm1BW.lme, weights = varPower())
# Test a specific contrast
anova(fm2BW.lme, L = c("Time:Diet2" = 1, "Time:Diet3" = -1))
after running it I get the following result
F-test for linear combination(s)
Time:Diet2 Time:Diet3
1 -1
numDF denDF F-value p-value
1 1 157 2.862598 0.0926
My question is how can I test for the Time:Diet1 interaction term and
compare all three diets.
Best regards,
Paschal
--
View this message in context:
http://www.nabble.com/Help-with-contrasts-tp21326943p21326943.html
Sent from the R help mailing list archive at Nabble.com.