Murray Pung wrote:> Is it possible to add standard error bars to the means on interaction
plots?
Not with interaction.plot(), as far as I know. You might consider the
effects package by John Fox. For example:
with(ToothGrowth, interaction.plot(dose, supp, len))
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
TG.lm <- lm(len ~ supp * dose, data = ToothGrowth)
library(effects) # loads lattice and grid packages
plot(effect("supp:dose", TG.lm))
You also could construct your own plot using the standard errors
produced by effect():
sum.df <- data.frame(len = effect("supp:dose", TG.lm)$fit,
se = effect("supp:dose", TG.lm)$se,
supp = rep(c("OJ", "VC"), 3),
dose = rep(c(.5,1,2), each = 2))
library(Hmisc)
xYplot(Cbind(len, len - se, len + se) ~ dose | supp, data=sum.df,
type="b", ylim=c(0,30))
xYplot(Cbind(len, len - se, len + se) ~ dose, groups=supp, data=sum.df,
type="b", ylim=c(0,30))
> Thanks
> Murray
--
Chuck Cleland, Ph.D.
NDRI, Inc.
71 West 23rd Street, 8th floor
New York, NY 10010
tel: (212) 845-4495 (Tu, Th)
tel: (732) 512-0171 (M, W, F)
fax: (917) 438-0894