Re: [R] plot separate groups with plotmeans()

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

Re: [R] plot separate groups with plotmeans()

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

[R] plot separate groups with plotmeans()

Hi, I often use plotmeans() from the gplots package to quickly visualize a pattern of change. I would like to be able to plot separate lines for different groups, but the function gives an error when a grouping variable is included in the formula argument. For instance, > require(gplots) >