"parallel" package
Hi Uwe and Indrajit, Thank you very much for the response. Since we are talking about this package, can I ask more about how to use it to deal with statistical issues please? I have this data with categorical missing values in it. Now I am trying to impute them using a function called "mice" from the MICE package. Here is the "normal" code: > library(mice) > imp=mice(data, m=100) # data was imputed for 100 times which took very very long time. I tried this: > library(parallel) > mc=4 > run1=do.call(data,mclapply(seq_len(mc),mice(data,m=10))) Error in do.call(data, mclapply(seq_len(mc), mice(data, m = 10))) : 'what' must be a character string or a function In addition: Warning message: In mclapply(seq_len(mc), mice(data2, m = 10)) : all scheduled cores encountered errors in user code I have a intel dual core i5 processor, and there are 4 charts in the task manager on windows xp(meaning 4 cpus or 4 cores?). However, I failed to figure out how to combine the mice function with the package "parallel". Any suggestions how I should write the code? Thank you very much. ya
On 04/29/2012 10:47 AM, Uwe Ligges wrote:
On 29.04.2012 09:28, Indr ajit Sengupta wrote:
You don't need quotes in the library statement, you can just use library(parallel).
Yes, a special (mis-)feature of library(). Since we are trying to
teach R here, we should provide clean R code. In an ideal world, we
would be able to say
pkg <- "parallel"
library(pkg)
doing the same as
library("parallel")
which is unfortunately not possible, because library(pkg) tries a
package called "pkg".
Best,
Uwe Ligges
Regards, Indrajit
________________________________
From: Uwe Ligges<ligges at statistik.tu-dortmund.de>
To: ya<xinxi813 at 163.com>
Cc: r-help at r-project.org
Sent: Saturday, April 28, 2012 11:57 PM
Subject: Re: [R] "parallel" package
On 28.04.2012 20:18, ya wrote:
Hi everyone,
Anyone knows Where I can get the "parallel" package? The google results
said this package has been released since R 2.14, but I could not
find a
place to get it.
I am doing a multiple imputation for missing values, it is really time
consuming. I figured maybe it's more efficient by paralleling my CPU. I
got an intel dual core i5 processor in a Thankpad x201 laptop. And I
have used install.packages ("parallel") in R 2.15 on both linux and
windows xp, no package installed. So maybe this package is not on cran?
Any idea?
It is shipped as an R base packaage. Just use
library("parallel")
Uwe Ligges
Thank you very much.
ya
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