Hi:
This seems to 'work':
xyplot(circumference~age, dat, groups=Tree, type='l',
col.line = c('red', 'blue', 'blue', 'red', 'red'))
After a little more fiddling around, this also works, and seems a bit less
kludgy:
dat$group2 <- factor(dat$group, labels = c('red', 'blue'))
xyplot(circumference~age, dat, groups=Tree, type='l',
col.line = levels(dat$group2))
The problem with group is that it's character, so it can't be used to assign
colors. However, if we convert it to factor with colors as labels...
Dennis
On Fri, Apr 8, 2011 at 5:06 AM, Philipp Pagel <p.pa...@wzw.tum.de> wrote:
>
> Dear ExpeRts,
>
> I am trying to plot a bunch of growth curves and would like to get
> some more control over groups and line colors than I seem to have.
>
> Example:
>
> # make some data
> dat <- Orange
> dat$group <- ifelse(dat$Tree%in%c('1','4','5'), 'A', 'B')
>
> # plot
> xyplot(circumference~age, dat, groups=group)
>
> # now use lines to make the growth curve more visible
> xyplot(circumference~age, dat, groups=group, type='l')
> # ugly, because of the 'return' lines
>
> # to fix this set groups to Tree
> xyplot(circumference~age, dat, groups=Tree, type='l')
> # better, but now each Tree has its own color
>
> Of course I can now use the col argument to manually assign the colors
> by group but is there a more elegant way that I missed?
>
> cu
> Philipp
>
> --
> Dr. Philipp Pagel
> Lehrstuhl für Genomorientierte Bioinformatik
> Technische Universität München
> Wissenschaftszentrum Weihenstephan
> Maximus-von-Imhof-Forum 3
> 85354 Freising, Germany
> http://webclu.bio.wzw.tum.de/~pagel/
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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