On Fri, Apr 08, 2011 at 08:14:21AM -0700, Dennis Murphy wrote:
Thanks to everyone who replied! Especialy this and the ggplot advice
did what I wanted.
> xyplot(circumference~age, dat, groups=Tree, type='l',
> col.line = c('red', 'blue', 'blue', 'red', 'red'))
This is essentially what I
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(circu
Philipp,
I would do the following with ggplot2:
# Set up data
require(ggplot2)
dat <- Orange
dat$group <- ifelse(dat$Tree%in%c('1','4','5'), 'A', 'B')
# Specify the ggplot group aesthetic as Tree
g1 <- ggplot(data = dat, aes(x = age, y = circumference, group=Tree))
# Specify the geom_point and
On Apr 8, 2011, at 8:06 AM, Philipp Pagel 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')
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, gr
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