Adding trend lines/boxplots (by group) in ggplot2

Posted by Tal Galili on Stack Overflow See other posts from Stack Overflow or by Tal Galili
Published on 2010-05-03T20:13:21Z Indexed on 2010/05/03 20:18 UTC
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Hi all,

I have 40 subjects, of two groups, over 15 weeks, with some measured variable (Y).

I wish to have a plot where: x = time, y = T, lines are by subjects and colours by groups.

I found it can be done like this:

TIME <- paste("week",5:20)
ID <- 1:40
GROUP <- sample(c("a","b"),length(ID), replace = T)
group.id <- data.frame(GROUP, ID)
a <- expand.grid(TIME, ID)
colnames(a) <-c("TIME", "ID")
group.id.time <- merge(a, group.id)
Y <- rnorm(dim(group.id.time)[1], mean = ifelse(group.id.time$GROUP =="a",1,3) )
DATA <- cbind(group.id.time, Y)
qplot(data = DATA,
        x=TIME, y=Y, 
        group=ID,       
        geom = c("line"),colour = GROUP) 

But now I wish to add to the plot something to show the difference between the two groups (for example, a trend line for each group, with some CI shadelines) - how can it be done?

I remember once seeing the ggplot2 can (easily) do this with geom_smooth, but I am missing something about how to make it work.

Also, I wondered at maybe having the lines be like a boxplot for each group (with a line for the different quantiles and fences and so on). But I imagine answering the first question would help me resolve the second.

Thanks.

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