On 24.07.2011 20:15, Madana_Babu wrote:
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?
oneDF <- do.call("rbind", DF)
Uwe Ligges
Thanks for your help.
Regards,
Madana
From: Lei Jiang [via R] [mailto:ml-node+3688529-54131105-22...@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
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Louisiana State University
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