Hi
Gabor Grothendieck wrote:
[moved from r-help to r-devel]
On 5/31/05, Paul Murrell <[EMAIL PROTECTED]> wrote:
# mm.row[j] gives the row in the layout of the jth cell
# mm.col[j] gives the col in the layout of the jth cell
mm <- matrix(seq(nr*nc), nr, nc)
mm.row <- c(row(mm))
mm.col <- c(col(mm))
# go to next cell in the array
j <- j + 1 # increment position
pushViewport(viewport(layout.pos.row = mm.row[j], layout.pos.col = mm.col[j]))
Is that how to do it or is there some layout/mfcol-like way?
That is how to do it.
As far as grid is concerned, all viewports are equal and grid has no
idea whether a viewport corresponds to a "plot region" or a "margin" or
whatever, so grid has no concept of which viewport is the "next" one to use.
OK. Thanks. One suggestion. Maybe the cells in a layout could have
an order to them and there could be an optional argument that takes a linear
index directly allowing easy linear traversals:
for(i in seq(nr*nc)) {
pushViewport(viewport(i)) # might need different syntax here
xyplot(seq(i) ~ seq(i))
popViewport()
}
I think this sort of thing can easily be built on top rather than into
the existing system. For example, here's a function that pushes all of
the basic cells in a layout using a simple naming convention:
layoutVPname <- function(i, j) {
paste("layoutViewport", i, ",", j, sep="")
}
layoutVPpath <- function(i, j, name="layout") {
vpPath(name, layoutVPname(i, j))
}
pushLayout <- function(nr, nc, name="layout") {
pushViewport(viewport(layout=grid.layout(nr, nc),
name=name))
for (i in 1:nr) {
for (j in 1:nc) {
pushViewport(viewport(layout.pos.row=i,
layout.pos.col=j,
name=layoutVPname(i, j)))
upViewport()
}
}
upViewport()
}
And here's a use of the function to push lots of layout cells, then draw
lattice plots in different cells using downViewport() to go to the cell
with the appropriate name. In this case, we use cells by column, but
simply reverse the order of the loops to use cells by row.
pushLayout(2, 3)
for (i in 1:2) {
for (j in 1:3){
depth <- downViewport(layoutVPpath(i, j))
print(xyplot(seq(i*j) ~ seq(i*j)), newpage=FALSE)
upViewport(depth)
}
}
and taking it one further perhaps 'with' could have a viewport method
that automatically pushes the viewport on entry and pops or moves
up one level on exit reducing the above to:
for(i in seq(nr*nc)) with(viewport(i), xyplot(seq(i) ~ seq(i)))
The raw grid functions have a 'vp' argument for this purpose. It would
be nice if lattice functions had something similar (or maybe just
print.trellis). Here's your example using the 'vp' argument to
grid.text() (and using the layout that was pushed above) ...
for (i in 1:2) {
for (j in 1:3){
grid.text(i*j, vp=layoutVPpath(i, j))
}
}
Paul
--
Dr Paul Murrell
Department of Statistics
The University of Auckland
Private Bag 92019
Auckland
New Zealand
64 9 3737599 x85392
[EMAIL PROTECTED]
http://www.stat.auckland.ac.nz/~paul/
______________________________________________
R-devel@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
