Dear useRs,
I recently posted here
(https://stat.ethz.ch/pipermail/r-help/2015-July/430223.html) a query regarding
customizing panel functions for lattice::xyplot. I received some helpful
replies offline and while I learned some things, they did not get at my issue.
However there was a consensus that my original example was complex and hard to
understand, so I want to revisit the issue with a very simple example.
Let's look at the teeth data in nlme::Orthodont.
require(lattice)
require(nlme)
?Orthodont
One way to display this data is to condition on the Sex of the Subject, and
plot distance as function of age, grouped by Subject. This plot distinguishes
the Sex factor by making two panels, one for each Sex.
xyplot(distance ~ age | Sex, data=Orthodont, groups=Subject, type='b')
The goal I have is to not use conditioning to differentiate data between the
Sexes, but rather separate graphical parameters (I want to use other
conditioning variables...). The problem is normally graphical parameters are
associated with the grouping variable, and I want to keep the grouping variable
but use another variable (here Sex) to be distinguished graphically. I can
remove the conditioning as follows; the graphical parameters are mapped onto
the grouping variable as expected:
xyplot(distance ~ age, data=Orthodont, groups=Subject, type='b')
This is what I want, except I want only two colors, one for the Male Subjects,
and one for the Female ones. It seems the subscripts argument to panel
functions is designed for this type of thing. Based on the example from Figure
5.4 in Sarkar's lattice book, I thought the following would work:
xyplot(distance ~ age, data=Orthodont, groups=Subject, type='b',
# passing the vector of colors
Cols = Orthodont[['Sex']] ,
panel = function(x, y, ..., groups, subscripts, Cols){
panel.xyplot(x, y, ..., groups=groups,
subscripts=subscripts,
col.line=Cols[subscripts],
col.symbol=Cols[subscripts]
)
}
)
But all the Subjects are plotted with the same color.
How can I arrange to have different graphical parameters for each level of Sex,
without using Sex as either grouping or conditioning variable?
[I am using R version 3.2.1 (release version), revision 68531, and version
0.20-31 of lattice.]
Thanks,
John
John Szumiloski, Ph.D.
Principal Scientist, Statistician
Analytical and Bioanalytical Development
NBR105-1-1411
Bristol-Myers Squibb
P.O. Box 191
1 Squibb Drive
New Brunswick, NJ
08903-0191
(732) 227-7167
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