Hi
I am running analysis with Kcross from the package spatstat and I am getting
a message that R can not allocate enough memory for a vector of 900MB.
R seems to be running towards the 2GB limit per process.
The dataset is not to big (ca 3000 points) but the mask for the points is
extremely irregular (a buffer around roads which have been sampled) and I
can do trhe analysis if I use a rectangular mask covering the whole area
(which is obviously not correct).
My question is: is there a way of splitting the dataset or changing the mask
son that I can do the analysis, as I don't want to move to a 64bit computer
(if not necessary).
Thanks,
Rainer
My computrer:
SuSE 10, 32 bit, 1GB ram, 1GB swap.
R:
> version
_
platform i686-pc-linux-gnu
arch i686
os linux-gnu
system i686, linux-gnu
status
major 2
minor 6.2
year 2008
month 02
day 08
svn rev 44383
language R
version.string R version 2.6.2 (2008-02-08)
--
Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT)
Plant Conservation Unit Department of Botany
University of Cape Town
Rondebosch 7701
South Africa
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