Hello,

Inline.
Em 16-10-2012 16:22, Balqis escreveu:
well that function is the one I created, manipulating pargev from evir
package. maybe this is where I have to check I presume.

Maybe yes, we can't tell.


for the 50k,the more the robust perhaps?

Yes, the more the merrier but if you want to be able to extract a certain vector element from each vector in a list then a small data example would do, and both Arun and I have already given answers to that. Both answers are equivalent, by the way. They use the extractor functions `[` and (mine) `[[`. In the particular case of vectors the results are exactly the same.

Rui Barradas


On Tue, Oct 16, 2012 at 3:09 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote:

Hello,

Your code doesn't work, which libraries are you using? There are several
with function rgev.
And pargevn() also doesn't exist. Nor does the matrix/df inP.

(And, for reproducible example there's no need to replicate 50K times...)

Rui Barradas
Em 16-10-2012 13:41, Balqis escreveu:

  Ok here's the lines of codes:
sIr=replicate(50000,ts(arima.**sim(list(ar=0),n=150,innov=**
rgev(150,xi=0.2,
mu=inP[1,5],sigma=inP[1,4]),**start.innov=rgev(150,xi=0.2,
mu=inP[1,5],sigma=inP[1,4]))))

sIrr=data.frame(cbind(sIr))

EsIpr=sapply(sIrr[1:100,1:**20000],function(m) pargevn(lmom.ub(m)))

kIpr=EsIpr[3,]#try to call for kappa
Error in EsIpr[3, ] : incorrect number of dimensions

#it turn out that the Eslpr is a list. It is kinda weird because
previously
I run the same routine for

Eslr=sapply(sIrr[1:150,20000])**, function (m) pargevn(lmom.ub(m))# it
works
out fine when I call
kI=EsIr[3,]

Thanks!


On Tue, Oct 16, 2012 at 12:35 PM, Muhammad Rahiz
<muhammad.ra...@gmail.com>**wrote:

  Maybe something along the following lines?
m <- rep(list(rnorm(10)),3) # dummy data

data <- c()
for (a in 1:length(m)) {
data[a] <- m[[a]][1] }

Muhammad


On Tue, Oct 16, 2012 at 1:17 PM, Balqis <aehan3...@gmail.com> wrote:

  Hi all,
I have a list of 20000 data, and the list look like below. I wonder what
is
the simplest way to extract 'kappa' value (or 'xi' or 'alpha' for the
matter)  from each of the data. How can I simply code it without having
to
change the list to a dataframe first? Many thanks!


$X19997
           xi       alpha       kappa
784.7718640 165.4065141  -0.2709599

$X19998
           xi       alpha       kappa
860.7832604 215.1144980  -0.1769741

$X19999
           xi       alpha       kappa
839.7692675 196.0103874  -0.3848809

$X20000
           xi       alpha       kappa
847.6117040 212.3279185  -0.2576029

regards,
aehan

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