On 29.04.2012 12:01, ya wrote:
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
See ?do.call
1) for the arguments it expects and
2) for what it does - I doubt you need it here.
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?).
Cores, 2 of them perhaps virtual ones, depends on the Core i5 version.
However, I
failed to figure out how to combine the mice function with the package
"parallel". Any suggestions how I should write the code?
Well, rewriting parts of mice seems to be the only way to let
collaborate with package parallel.
Best,
Uwe Ligges
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.
