[R] "parallel" package
xinxi813 at 163.com
Sun Apr 29 12:01:10 CEST 2012
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:
> imp=mice(data, m=100) # data was imputed for 100 times which took
very very long time.
I tried this:
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.
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
> 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"
> doing the same as
> which is unfortunately not possible, because library(pkg) tries a
> package called "pkg".
> Uwe Ligges
>> 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
>> Uwe Ligges
>>> Thank you very much.
>>> R-help at r-project.org mailing list
>>> PLEASE do read the posting guide
>>> and provide commented, minimal, self-contained, reproducible code.
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide
>> and provide commented, minimal, self-contained, reproducible code.
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