How do plot multiple lattice plots onto a single lattice plot where the plots are generated using an lapply function?
The following is a demonstration of what I have tried so far using the built in mtcars
dataset.
require(lattice)
response <- c("cyl","disp","hp","drat")
par(mfrow=c(2,2))
lapply(response, function(variable) {
print(xyplot(mtcars$mpg ~ mtcars[variable]))
})
This produces the plots desired. However it seems to be ignoring the par(mfrow=c(2,2))
instruction and plotting each plot separately.
If you really don't want to use the built-in facetting or viewport options of lattice, you can replicate the behavior of par(mfrow)
with the following,
require(lattice)
response <- c("cyl","disp","hp","drat")
# save all plots in a list
pl <- lapply(response, function(variable) {
xyplot(mtcars$mpg ~ mtcars[variable])
})
library(gridExtra)
# arrange them in a 2x2 grid
do.call(grid.arrange, c(pl, nrow=2))
Your example is not how lattice
is intended to be used (grid
would be more appropriate).
Here is a lattice
solution:
xyplot(mpg ~ cyl+disp+hp+drat,
data=mtcars,
groups=cyl+disp+hp+drat,
scales=list(relation="free"),
col="blue"
)
The multiplot function on this page is something I have used many times to get multiple plot objects on one page.