data(AvgDailyGain)
options(
contrasts = c(unordered = "contr.SAS", ordered = "contr.poly"))
## plot of adg versus Treatment by Block
coplot(adg ~ as.numeric(Treatment) | Block, data = AvgDailyGain,
show = FALSE)
fm1Adg <- lme( adg ~ InitWt * Treatment - 1,
data = AvgDailyGain, random = ~ 1 | Block)
summary( fm1Adg ) # compare with output 5.1, p. 178
VarCorr( fm1Adg ) # show the variance component estimates
anova( fm1Adg ) # checking significance of terms
fm2Adg <- update( fm1Adg, adg ~ InitWt + Treatment ) # common slope model
summary( fm2Adg )
VarCorr( fm2Adg )
anova( fm2Adg )
summary( update( fm1Adg, adg ~ InitWt + Treatment - 1 ) )Run the code above in your browser using DataLab