Re: [R] large data set (matrix) using image()

2011-12-29 Thread Uwe Ligges
Works perfectly well with R-2.14.1 32-bit on a Windows device. Since you 
have not followed the posting guide and forgot to give details about 
your platform, there is not much we can do.


Uwe Ligges



On 22.12.2011 23:08, Karen Liu wrote:


When I use the image() function for a relatively small matrix it works perfectly, 
eg.x- 1:100

z- matrix(rnorm(10^4),10^2,10^2)
image(x=x,y=x,z=z,col=rainbow(3))but when I want to plot a larger matrix, it 
doesn't really work. Most of the times, it just plot a few intermitent 
points.x- 1:1000

z- matrix(rnorm(10^6),10^3,10^3)
image(x=x,y=x,z=z,col=rainbow(3))

Generating the matrix didn't seem to be a problem. I would appreciate any 
thoughts and ideas.
I have tried using heatmap in bioconductor. However, I want to substitute the 
dendograms with axes, but when I suppressed the dendogram, I can't successfully 
add any axis. If anyone knows heatmap() well and would like to help via this 
function, it would work also.
Cheers!Karen Liu
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[R] large data set (matrix) using image()

2011-12-22 Thread Karen Liu

When I use the image() function for a relatively small matrix it works 
perfectly, eg.x - 1:100
 z - matrix(rnorm(10^4),10^2,10^2)
 image(x=x,y=x,z=z,col=rainbow(3))but when I want to plot a larger matrix, it 
 doesn't really work. Most of the times, it just plot a few intermitent 
 points.x - 1:1000
z - matrix(rnorm(10^6),10^3,10^3)
image(x=x,y=x,z=z,col=rainbow(3))

Generating the matrix didn't seem to be a problem. I would appreciate any 
thoughts and ideas.
I have tried using heatmap in bioconductor. However, I want to substitute the 
dendograms with axes, but when I suppressed the dendogram, I can't successfully 
add any axis. If anyone knows heatmap() well and would like to help via this 
function, it would work also.
Cheers!Karen Liu  
[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.