Hello all,
my first post to this list. I do a lot of experiments using a paired
sampling design and I would get a lot of mileage out of figures like
this, if I can make it work! Any advice would be appreciated.
my email is: cory.champ...@gmail.com.
Thanks!
#define dummy variables and a dataframe:
y1 <- c(1:20)
x1 <- c("A","A","A","A","A","A","A","A","A","A",
"B","B","B","B","B","B","B","B","B","B")
x2 <- c("pre","pre","pre","pre","pre",
"post","post","post","post","post","pre","pre","pre","pre","pre","post","post","post","post","post")
data <- data.frame(y1, x1, x2)
#I'm using the following code to make simple boxplots and it works
pretty well for me:
with(data, {
boxplot(y1~x1)
points(y1~x1) #adds the raw data points
for(i in 1:10) { # five individuals in the experiment.
lines(1:2, c(y1[i], y1[i+10])) } #adds lines connecting the paired
points, as long as they're ordered correclty anyway.
}) #end boxplot code here.
##Now, I'd like to do the same thing in lattice with multiple factors:
library("lattice")
dev.new()
with(data, {
bwplot(y1~x1|x2, #make this boxplot with two factors: A & B, and "pre"
& "post".
panel=function(...) {
panel.bwplot(...)
panel.points(..., pch=16) #up to here- this works well.
#panel.lines #how do I make this work to add lines to the plot?
})
})
#I hope this is reasonably clear; I'm trying to add lines connecting the
paired points in the lattice bwplot. Any input would be appreciated.
If anyone's really gung-ho, I'd additionally like to use a separate
dataframe for the panel.lines function than the panel.points call uses;
to connect only specific points of interest (but maybe I'm getting over
my head!)
#thanks! really appreciate any input.
--
Cory Champagne, M.Sc.
Long Marine Lab, UC Santa Cruz
office: 831.459.3112
email: cory.champ...@gmail.com
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