Displaying 9 results from an estimated 9 matches for "mcappli".
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mcapply
2013 Nov 05
1
How can I use muliple cores of CPU in Windows or OS X?
Dear all,
I have about 50 pages of R codes and ran it in both OS X and Windows.
It takes at least haft a day to have the results. The running time is not very different in both Systems.
I found that R does not use all cores of CPU by default.
Can anybody help me to use all cores of CPU in my programming from the beginning or through programming in both OS X and Windows?
Many thanks your
2012 Dec 03
2
Using multicores in R
Hi,
I have an R script which is time consuming because it has two nested loops
in it of at least 5000 iterations each, I have tried to use the multicore
package but id doesn't seem to improve the elapsed time of the script(a
shorter script for example) and I can't use the mcapply because of technical
reasons.
I was wondering how can I make my script use more cores and memory because I
am
2012 Dec 03
2
Using multicores in R
Hi,
I have an R script which is time consuming because it has two nested loops
in it of at least 5000 iterations each, I have tried to use the multicore
package but id doesn't seem to improve the elapsed time of the script(a
shorter script for example) and I can't use the mcapply because of technical
reasons.
I was wondering how can I make my script use more cores and memory because I
am
2014 Jun 17
2
No es un problema de tm tienes doc.corpus vacío
No es un problema de tm ni de SnowfallC ni de mcapply (por el path
utilizas linux, en windows mcapply según el manual no va bien)
No defines bien los objetos que pasas. Pasas doc.corpus en lugar de
corpus ( o asignas a corpus en lugar de a doc.corpus) .
Depura los programas cuando salga un error de objeto, como te pone en el
Error que pasas .
Temporalmente lo tienes arreglado en
2014 Jun 18
2
No es un problema de tm tienes doc.corpus vacío
Creo que lo que quieres hacer necesita esta línea de código justo después de
cargar el paquete tm:
inmortal = unlist(strsplit(inmortal, " ", fixed = T))
De esta forma, trabajas con palabras, y NO con las frases enteras...
Un saludo
Isidro Hidalgo Arellano
Observatorio Regional de Empleo
Consejería de Empleo y Economía
http://www.jccm.es
> -----Mensaje original-----
> De:
2011 Apr 09
1
For->lapply->parallel apply
Dear all,
I would like to ask your help understand the subsequent steps for making my program faster.
The following code:
Gauslist<-array(data=NA,dim=c(dimx,dimy,dimz))
for (i in c(1:dimz)){
print(sprintf('Creating the %d map',i));
Gauslist[,,i]<-f <- GaussRF(x=x, y=y, model=model, grid=TRUE,param=c(mean,variance,nugget,scale,Whit.alpha))
}
creates 100 GaussMaps (each
2014 Jun 18
3
No es un problema de tm tienes doc.corpus vacío
Muchas gracias isidro,
a la noche reinstalo R y os digo si me ha funcionado. Perdona mi ignorancia
de novato pero no he entendido muy bien eso de avisar al desarrollador.
Entiendo que es a los de los paquetes, no?
un saludo!
ruben
El 18 de junio de 2014, 13:10, Isidro Hidalgo <ihidalgo@jccm.es> escribió:
> Ya he visto que tampoco así funciona.
> Sí te puedo decir que me ha dejado
2011 Oct 30
0
curiosity only: gpu ?
dear R experts. about once a year, I wonder where GPU computing is. this
is of course a quickly moving field, so I am hoping to elicit some advice
from those that have followed the developments more actively. fortunately,
unlike my many other cries for help, this post is not critical. it is more
curiosity.
Integration: for me, I want to substitute the basic statistical functions
with GPU
2012 Mar 10
1
Draw values from multiple data sets as inputs to a Monte-Carlo function; then apply across entire matrix
Hi all,
I am trying to implement a Monte-Carlo simulation for each cell in a
spatial matrix (using mcd2 package) .
I have figured out how to conduct the simulation using data from a single
location (where I manually input distribution parameters into the R code),
but am having trouble (a) adjusting the code to pull input variables from
my various data sets and then (b) applying the entire