Hi Joshua,
This worked for me. Thanks for your help.
Now i have another challenge. Since multicore is creating almost 70K DF's,
do.call() function taking huge amount of time to bind all the datasets and i am
not able to realize the impact of multicore due to do.call() time consumption.
Can you help me in getting this done at faster rate...
Regards,
Madana
________________________________________
From: Joshua Wiley-2 [via R] [ml-node+3691342-1864501667-22...@n4.nabble.com]
Sent: Sunday, July 24, 2011 5:43 PM
To: Madana Mohana Babu
Subject: Re: Binding multiple data frames into single data frame
Hi Madana,
No example data, so untested, but I think this will do what you want:
do.call("rbind", DF)
Cheers,
Josh
On Sun, Jul 24, 2011 at 5:38 PM, Madana_Babu <[hidden
email]</user/SendEmail.jtp?type=node&node=3691342&i=0>> wrote:
> Hi all,
>
> I have multiple data frames created with equal number of columns in each
> data frame by using mclapply() on multicore processor. The data frames are
> like DF[[1]], DF[[2]], ... DF[[150]]. Now i want to bind (Similar like
> rbind()) all these data frames and create one single data frame called DF so
> that i can have the complete data for further analysis. Can someone help me
> in performing this function through looking (without manual specification of
> DF[[count]]s).
>
> Thanks in advance for your help.
>
> Regards,
> Madana
>
> --
> View this message in context:
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--
Joshua Wiley
Ph.D. Student, Health Psychology
University of California, Los Angeles
https://joshuawiley.com/
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