I will try it! Thanks! Cheers, Javier
Quoting Jonathan Greenberg j...@illinois.edu:
Javier:
I guess my first suggestion is to try out my rasterEngine function in
the spatial.tools package -- it is designed to perform parallel
processing of raster images entirely within R. I have a tutorial
Thanks Roger, and sorry.
My code and data are a bit long to put here, but thanks to Caleb Gallemore
which had a similar problem, I can post here a test code that he made for
students, which uses data from Ecdat package.
This code below, as well as my code, were tested with:
R 2.15.1 and
On Fri, 28 Feb 2014, Patrick Meyfroidt wrote:
Thanks Roger, and sorry.
My code and data are a bit long to put here, but thanks to Caleb
Gallemore which had a similar problem, I can post here a test code that
he made for students, which uses data from Ecdat package.
This code below, as well
Hi Truc:
If I'm understanding the code, you need to get the PID from a cluster
call BEFORE it gets out of control, correct? Is there a way to get
the PIDs from the cluster object running on the master process
directly (e.g. a parallel PSOCK cluster)? I see it prints the PID (I
suppose I can
Apologies Roger, I really was not making a silly remark, and I'm very sorry
that it was taken as such.
At the contrary, I wrote that because several people already suggested me to
move to Matlab for doing this spatial Hausman test, so, thereby I wanted to
indicate that, OK, I was aware of that
Dear All,
The R script below is to generate interpolation grid for prediction using
ordinary kriging. I encountered error message R encountered a fatal
error, the session was terminated. This is as a result of large obervation
I have 116,818. I have no problem in fitting my variogram model
On 02/28/2014 08:29 PM, Moshood Agba Bakare wrote:
Dear All,
The R script below is to generate interpolation grid for prediction using
ordinary kriging. I encountered error message R encountered a fatal
error, the session was terminated. This is as a result of large obervation
I have
