On Sat, Aug 23, 2008 at 1:10 PM, Michael Kubovy <[EMAIL PROTECTED]> wrote:
> Dear Juliet,
>
> Perhaps start here:
>
> require(lattice)
> mwpp <- data.frame(y = c(43,42,26,39,60,60,46,40,41,36,42,54,
> 58,43,46,56,81,56,70,70,44,52,81,59,69,68),
> sex = rep(c(rep('men', 14), rep('women', 12))),
> pp = c(rep(c('pre', 'post'), each = 7), rep(c('pre', 'post'), each =
> 6)),
> sub = c(1:7, 1:7, 8:13, 8:13))
Or in ggplot2:
library(ggplot2)
qplot(pp, y, data=mwpp, geom=c("point","line"), group = sub, colour=sex)
qplot(pp, y, data=mwpp, geom=c("point","line"), group = sub, facets = . ~ sex)
The key is to get your data into a data frame with variables that
explicitly label the experimental units, as Michael did for you.
Hadley
--
http://had.co.nz/
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