In fact I have somethig like
mat.dat<-matrix(rep(c(1,2,4,2,1,0,1,2),128*1024))
write (mat.dat,"c:\\tmp\\mydat.txt")
* remembering that I will run it about 500,000 times.
The program that I will use to analyze (landscape metrics) my output files
read text files ou generic binary files, where I can have each value separated
by "space" (text format) or each value into a byte of 8 bits (for beneric
binary files). A sample of generic binary is the "RAW" (row and columns) used
for Adobe Photoshop. In fact, my matrix of data can be understood as a
classifyed image.
Kind regards,
Miltinho
Duncan Murdoch <[EMAIL PROTECTED]> escreveu:
On 11/30/2006 6:55 AM, Milton Cezar Ribeiro wrote:
> Hi there,
>
> I have a big amount of "lists" of data, each one with dimension 1024x1024.
> When I save it in an ASCII file (using "write" function) it take about 15
> minutes. As I need run about 500,000 times this same routine, and I would
> like to do this save task in a fast way.
> In fact I will use these output files in another program that read ASCII or
> RAW/Generic Binary (8bits) formats. Each value from my lists ranges from 1 to
> 200 (integer values).
I think this depends on the details. Can you show us what str() gives
for one of these lists? Can you tell us how flexible the other program
is about the format of what it needs to see? "RAW/Generic Binary"
sounds like a format for an image from a digital camera; there might be
packages available in R that are specifically designed to write that
format but I don't know them.
Duncan Murdoch
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