You might want to use Rprof to profile your code to understand where the time
is going; it might be in the function you are callingband therefore the "for"
loop might not be the issue.
Sent from my iPad
On Jun 27, 2013, at 4:19, "Frederico Mestre" <mestre.freder...@gmail.com> wrote:
> Hello:
>
>
>
> I have a list of data frames, built like this: the second df is a result of
> a function applied to the first, and so on.
>
>
>
> So the ith df is always dependent on the (i-1)th df. I've been doing this
> using for loops. However I think I have too many for loops which is making
> my code run slowly.
>
>
>
> Is there any workaround this? How can I avoid the use of for loops?
>
>
>
> As an example:
>
>
>
> output.list <- as.list(rep("", 100))#creation of a list
>
>
>
> output.list[[1]] <- df1#first position
>
>
>
>
>
> for(I in 2:100){#following positions
>
>
>
> df0 <- output.list[[i-1]]
>
>
>
> df0_1 <- f1(df0)#function applied to the previous df
>
>
>
> output.list[[i]] <- df0_1#new df
>
>
>
> }
>
>
>
> thanks,
>
>
>
> Frederico
>
>
>
>
>
>
> [[alternative HTML version deleted]]
>
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