Hi Lei,
Thanks for your solution. It worked. Now I have another query.

After creating multiple DF[[i]]'s how do I aggregate them into one data frame say DF (I want to bind all the data frames into one data frame). I have more than 1000 DF[[i]]'s how can I bind them into one DF by recursively?

Thanks for your help.
Regards,
Madana
From: Lei Jiang [via R] [mailto:ml-node+3688529-54131105-22116@n4.nabble.com]
Sent: Saturday, July 23, 2011 1:43 PM
To: Madana Mohana Babu
Subject: Re: R on Multicore for Linux

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 <[hidden email]</user/SendEmail.jtp?type=node&node=3688529&i=0>>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
>
> --
> View this message in context:
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--
Lei Jiang

Center for Computation and Technology/
Department of Computer Science
Louisiana State University

E-mail: [hidden email]</user/SendEmail.jtp?type=node&node=3688529&i=2>

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