Dear R-Users,
1. I was finally able to get the colours to work properly. The solution is
based on Vaclav's and Deepayan's suggestions. I have included the code for
anyone interested.
library(lattice)
library(nlme)
panel.col = function (x, y, subscripts, groups, ...)
{
panel.grid()
panel.xyplot(x, y, ..., groups = groups, subscripts = subscripts)
panel.superpose(x, y, subscripts, groups, type = "l")
}
tmp = plot(BodyWeight, innerGroups = ~ Diet)
tmp$panel = panel.col
tmp
2. Modify Text Size
I also wanted to generate some images for a presentation. I wanted to increase
the text size so that relevant text becomes easy to read. After many failed
attempts, I found it easier to modify the resulting trellis-object.
The code is rather hacky. For anyone interested, see function setCEX on GitHub:
https://github.com/discoleo/R/blob/master/Stat/Models.MixedEffects.R
I may try to improve it - when I have a little bit more spare time.
Sincerely,
Leonard
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Today's Topics:
1. lme: Plot colours based on variable? (Leo Mada)
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Message: 1
Date: Tue, 2 Dec 2025 08:39:09 +0000
From: Leo Mada <[email protected]>
To: Leo Mada via R-help <[email protected]>
Subject: [R] lme: Plot colours based on variable?
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Dear R-Users,
Is there a quick solution to plot colours based on a variable?
I tried something like this:
library(nlme)
plot(BodyWeight)
# Does NOT work!
colDiet = c(2:4)[BodyWeight$Diet]
plot(BodyWeight, col = colDiet)
# Wastes space
rat.fit = lme(weight ~ Time + Diet, data = BodyWeight, random = ~ Time|Rat)
plot(rat.fit, weight ~ Time | Rat + Diet)
Is there a quick way to base the colour on the Diet variable?
Many thanks,
Leonard
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