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
[[alternative HTML version deleted]]
Hello, Try the following. lapply(lst, `[[`, 'kappa') Also, please post a data example using ?dput, in case of lists it's difficult for us to reproduce what you've posted. Hope this helps, Rui Barradas Em 16-10-2012 12:17, Balqis escreveu:> 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 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
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 <aehan3616@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
>
> $X20000
> xi alpha kappa
> 847.6117040 212.3279185 -0.2576029
>
> regards,
> aehan
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Muhammad Rahiz
(za) +27 071 719 0104
(skype) muhammad.rahiz
[[alternative HTML version deleted]]
HI, Try this: To extract kappa: list1<-list(X199997=data.frame(xi=784.77,alpha=165.406,kappa=-0.2709),X19998=data.frame(xi=860.783,alpha=215.114,kappa=-0.1769)) sapply(list1,`[`,3) #$X199997.kappa #[1] -0.2709 #$X19998.kappa [1] -0.1769 #To extract alpha: ?sapply(list1,`[`,2) #$X199997.alpha #[1] 165.406 #$X19998.alpha #[1] 215.114 #To extract xi: sapply(list1,`[`,1) A.K> ----- Original Message ----- From: Balqis <aehan3616 at gmail.com> To: r-help at r-project.org Cc: Sent: Tuesday, October 16, 2012 7:17 AM Subject: [R] how to extract from list 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 ??? [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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 <ruipbarradas at 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.rahiz at 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 <aehan3616 at 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 >>>>> >>>>> [[alternative HTML version deleted]] >>>>> >>>>> ______________________________**________________ >>>>> R-help at r-project.org mailing list >>>>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >>>>> PLEASE do read the posting guide >>>>> http://www.R-project.org/**posting-guide.html<http://www.R-project.org/posting-guide.html> >>>>> and provide commented, minimal, self-contained, reproducible code. >>>>> >>>>> >>>> -- >>>> Muhammad Rahiz >>>> (za) +27 071 719 0104 >>>> (skype) muhammad.rahiz >>>> >>>> >>>> [[alternative HTML version deleted]] >>> ______________________________**________________ >>> R-help at r-project.org mailing list >>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >>> PLEASE do read the posting guide http://www.R-project.org/** >>> posting-guide.html <http://www.R-project.org/posting-guide.html> >>> and provide commented, minimal, self-contained, reproducible code. >>> >>