Hi,
This answer may be a bit overdue, but I had a similar problem and it took
me quite some time to find a good solution. When searching with google,
your post kept showing up, so I post this to help others.
The command that worked for me was interaction.plot.
Example:
x <- data.frame(Score=rno
Hi:
Here are a couple of ways using the plyr and ggplot2 packages:
library('plyr')
library('ggplot2')
# Create a summary data frame that computes the mean
# and standard deviation at each time/group combination
xsumm <- ddply(x, .(Time, Group), summarise, m = mean(Score), s = sd(Score))
# Creat
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