Re: [R] Saving fExtremes estimates and k-block return level with confidence intervals.

.gev" function to get the values?     #Model for single vector rlf <- gevFit(y, block = 2, type = "mle") rlfp <- gevrlevelPlot(rlf, kBlocks = 2) rlfp rle <- gev(y, 2, method = "BFGS", control =list(maxit = 1)) rlep<- rlevel.gev(rle, k.blocks = 2, ad

Re: [R] Saving fExtremes estimates and k-block return level with confidence intervals.

Jorge: Thanks it works perfectly.   From: Jorge Ivan Velez Cc: R mailing list Sent: Thu, June 30, 2011 2:37:33 AM Subject: Re: [R] Saving fExtremes estimates and k-block return level with confidence intervals. Hi Peter, Try  data.frame(n = names(res2

Re: [R] Saving fExtremes estimates and k-block return level with confidence intervals.

Hi Peter, Try data.frame(n = names(res2), t(sapply(res2, function(l) l@fit$par.ests))) for the first part. HTH, Jorge On Thu, Jun 30, 2011 at 12:16 AM, Peter Maclean <> wrote: > I am estimating a large model by groups. How do you save the results > and returns > the associated quantiles? >

Re: [R] Saving fExtremes estimates and k-block return level with confidence intervals.

I am estimating a large model by groups. How do you save the results and returns the associated quantiles? For this example I need a data frame n    xi    mubeta 1   0.1033614  2.5389580 0.9092611 2   0.3401922  0.5192882 1.5290615 3   0.5130798  0.5668308 1.2105666 I also want to