[R] "parallel" package

[ya]

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
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide 
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.