Madana,
The code below may work (untested though):
#above is the same as you wrote
require(multicore)
read.data.exmple <- function(f)
{
dat <- read.csv(f, header=FALSE, sep="\t", na.strings="",dec=".",
strip.white=TRUE, fill=TRUE)
data_1 <- sqldf("SELECT V2, V14, MIN(V16) FROM dat WHERE V6=104 GROUP
BY
V2, V14")
data_1
}
DF <- mclapply(a, read.data.example)
#you can check the components of DF by DF[[1]], DF[[2]] ..., which is a bit
different from rbind
#feel free to add more arguments to function read.data.example and add those
to mclapply accordingly
Hope this helps.
Regards,
Lei
On Fri, Jul 22, 2011 at 11:35 AM, Madana_Babu <[email protected]>wrote:
> Hi,
>
> Can you please explain me that how can i perform this on a multicore
> processor? since i have a machine with 16-cores. I can do this much faster
> if i use all cores.
>
> Thanks in advance...
>
> Regards,
> Madana
>
> --
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>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Lei Jiang
Center for Computation and Technology/
Department of Computer Science
Louisiana State University
E-mail: [email protected]
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