[R] how to apply the same function to multiple data set

[Dimitris Rizopoulos]

you will have to check what function pargev() returns as a result. I 
would guess that is probably a list. In any case, you could use 
something like the following:

estIID50 <- lapply(IID50, function (m)  pargev(lmom.ub(m)))

I hope it helps.

Best,
Dimitris


On 6/27/2012 1:31 PM, Al Ehan wrote:
> Hi R-users,
>
> I'm trying to repeat the same procedure to 1000 data set. I know this is
> very easy, but I got stuck finding the right and fastest way in running it.
>
> IID50=Riidf[1:50,1:1000] #where IID50 is a dataframe consist of 1000 time
> series(as column) and 50 time scales (row).
>
> #what I tried to do:
>
> estIID50=rep(NA,1000)
> for (i in 1:1000)
> estIID50[i]=pargev(lmom.ub(IID50[1:50,i]))
>
> #warning message
>   In estIID50[i] = pargev(lmom.ub(IID50[1:50, i])) :
>    number of items to replace is not a multiple of replacement length
>
> #pargev is a function from lmomco package. I would like to apply it to the
> 1000 set of time series that I have in the IID50, without having to do it
> manually.
> #I dont understand what is the warning warns about
>
> Can somebody help me?
>
> 	[[alternative HTML version deleted]]
>
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-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
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