This and earlier posts by you make me wonder if perhaps you are doing
some data management in R that would be better handled by software
explicitly designed for it limitting the import into R for higher
level analyses/graphing/whatever. In any case, you can easily break
this big task into smaller
This is working for me... however when i use multicore there are more than
60K DF's getting created and when i use do.call() function it is taking huge
time. Is there any function which can perform this operation at faster rate?
Regards,
Madana
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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
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 wrote:
> Hi all,
>
> I have multiple data frames created with equal number of columns in each
> data frame by using mclapply() on mul
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