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<lig...@statistik.tu-dortmund.de>
To: ya<xinxi...@163.com>
Cc: r-help@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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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
