Is it possible to update a lattice panel in R?
The update
method of trellis
plots allows one to modify a lattice
plot after the initial call. But the update
behaviour is more like replace than append. This differs from the ggplot2
idiom where each new layer is additive to what exists already. Is it possible to get this additive behaviour using lattice
?
An example:
LL <- barchart(yield ~ variety | site, data = barley,
groups = year, stack = TRUE,
between=list(y=0.5),
scales = list(x = list(rot = 90)))
print(LL)
Now I want to add panel.text
to the existing plot. Using update
in the following way doesn't work:
update(LL, panel=function(...){
args <- list(...); panel.text(args$x, args$y+2, round(args$y, 0))
})
I know that I can use update
by specifying all of the layers in the panel function:
update(LL, panel=funct开发者_StackOverflow中文版ion(...){
args <- list(...)
panel.barchart(...)
panel.text(args$x, args$y+2, round(args$y, 0))
})
This will work, but requires that I know what is already in the lattice
plot - or that I refactor my code quite substantially.
Question: Is there a way of adding to the existing panel in update.trellis
?
See layer
from the latticeExtra
package.
library(lattice)
library(latticeExtra)
LL <- barchart(yield ~ variety | site, data = barley,
groups = year, stack = TRUE,
between=list(y=0.5),
scales = list(x = list(rot = 90)))
LL + layer(panel.text(x, y, round(y, 0), data=barley))
Here is a way to do it without latticeExtra
. Admittedly, it's more complicated and difficult than the latticeExtra
route. However, the flexibility with this trellis.focus
method might be more useful in other contexts.
barchart(yield ~ variety | site, data = barley,
groups = year, stack = TRUE,
between=list(y=0.5),
scales = list(x = list(rot = 90)))
panels = trellis.currentLayout()
for( i in seq_along(panels) ) {
ind = which( panels == i, arr.ind=TRUE )
trellis.focus("panel",ind[2],ind[1])
vars = trellis.panelArgs()
panel.text(vars$x,vars$y,round(vars$y,0))
}
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