[R] superimposing different plot types in lattice panel.superpose

genghis jcpayne at uw.edu
Mon Jul 4 03:52:02 CEST 2011

I would like to plot 3 best-fit models in a single panel of a lattice plot,
superimposed on 3 corresponding datasets in the same panel.  My goal is to
show the models as lines of 3 different colors, and the data as points whose
colors correspond to the model colors.  In essence, I have two levels of
grouping: 1) model vs. data, and 2) model number.  Since there is only one
“groups” variable, I have tried to deal with the additional grouping level
by subsetting the data inside a custom panel function (basically a hack),
but something about the way parameters are passed in panel.superpose (I
think) is making it hard to show both points and lines. 

My question is very similar to a previous post:
, but the questioner in that case was using bwplot, which automatically
makes a separate plot for every level of the categorical variable, so they
didn’t face the two-level grouping problem, and I have been unable to figure
out how to adapt their answer.  Another approach I tried was to put my model
function inside of my custom panel function so that the analysis occurred
there, but I couldn’t get it to subset the x and y data appropriately.

In the toy problem below I want to plot each inverted V (“model”) as LINES,
with a single POINT (“data”) in the center of each inverted V, the same
color as the inverted V.  The code runs, but I can’t seem to mix lines and
points.  In my real problem (stable isotopes with ellipses superimposed on
data) there will be additional panels but I am creating only one panel here,
for simplicity.

#generate test "model results"

#generate test "data"

#combine them into one data set

#custom panel function
panel.dualplot <- function(...) { 

#main call to xyplot
xyplot(y ~ x, data=combined,
type = "l",
panel = panel.superpose,
groups = model,
panel.groups = panel.dualplot,

I’d be very grateful for any suggestions.  



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