Hi
You could try the 'useRaster' argument to levelplot()
Alternatively, if you are not doing much annotation (such as axes and
labels) around the matrix-representations, you could possibly speed
things up by calling grid.rect() directly. Feel free to contact me
directly if that sounds like an option.
Paul
On 07/16/13 09:55, Nicolas Servant wrote:
Dear R users,
I'm currently using the Graphics package to display several hundred of
matrix objects, using a layout and the image() function.
It works well except for large matrices (> 1000*1000) or for a large
number of matrices (there is a limitation around 400 if I remember well)
To solve these issues, I move to the Matrix package which is much more
efficient for large sparse matrix, and to the grid package for the plot
(using image from Matrix)
However, the levelplot() is much more slow than the graphics image()
function !!
Basically, with the image() from graphics, I'm able to plot 360 matrices
in 30 sec, against more than 10 minutes with levelplot().
I would appreciate if anyone has some experience on that, and could give
me some advice to efficiently use the grid package !?
Regards
Nicolas
> i=1000
> M1 <- Matrix(rnorm(i*i), ncol=i)
> system.time(print(Matrix::image(M1)))
user system elapsed
11.320 0.064 11.406
> M2 <- matrix(rnorm(i*i), ncol=i)
> system.time(image(as.matrix(M2)))
user system elapsed
0.837 0.004 0.844
--
Dr Paul Murrell
Department of Statistics
The University of Auckland
Private Bag 92019
Auckland
New Zealand
64 9 3737599 x85392
p...@stat.auckland.ac.nz
http://www.stat.auckland.ac.nz/~paul/
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