Re: [R] boot.ci error with large data sets
Hello Lars, (cc'd) Did you ask maintainer(boot) first, as requested by the posting guide? If you did, but didn't hear back, then please say so, so that we know you did follow the guide. That maintainer is particularly active, and particularly efficient though, so I doubt you didn't hear back. We can tell it's your first post to r-help, and we can tell you have at least read the posting guide and done very well in following almost all of it. I can't see anything else wrong with your post (and the subject line is good) ... other than where you sent it :-) Matthew Lars Dalby lars.da...@gmail.com wrote in message news:fef4d63e-90f6-43aa-90a6-872792faa...@s11g2000yqc.googlegroups.com... Dear List I have run into some problems with boot.ci from package boot. When I try to obtain a confidence interval of type bca, boot.ci() returns the following error when the data set i large: Error in bca.ci(boot.out, conf, index[1L], L = L, t = t.o, t0 = t0.o, : estimated adjustment 'a' is NA Below is an example that produces the above mentioned error on my machine. library(boot) #The wrapper function: w.mean - function(x, d) { E - x[d,] return(weighted.mean(E$A, E$B))} #Some fake data: test - data.frame(rnorm(1000, 5), rnorm(1000, 3)) test1 - data.frame(rnorm(1, 5), rnorm(1, 3)) names(test) - c(A, B) names(test1) - c(A, B) # Getting the boot object and the CI, seem to works fine bootout - boot(test, w.mean, R=1000, stype=i) (bootci - boot.ci(bootout, conf = 0.95, type = bca)) # Now with a bigger data set, boot.ci returns an error. bootout1 - boot(test1, w.mean, R=1000, stype=i) (bootci1 - boot.ci(bootout1, conf = 0.95, type = bca)) Does anyone have an idea as to why this happens? (Session info below) Best, Lars sessionInfo() R version 2.12.1 (2010-12-16) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] da_DK.UTF-8/da_DK.UTF-8/C/C/da_DK.UTF-8/da_DK.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] boot_1.2-43 loaded via a namespace (and not attached): [1] tools_2.12.1 __ 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.
Re: [R] boot.ci error with large data sets
On 2011-02-16 04:44, Lars Dalby wrote: Dear List I have run into some problems with boot.ci from package boot. When I try to obtain a confidence interval of type bca, boot.ci() returns the following error when the data set i large: Error in bca.ci(boot.out, conf, index[1L], L = L, t = t.o, t0 = t0.o, : estimated adjustment 'a' is NA Below is an example that produces the above mentioned error on my machine. library(boot) #The wrapper function: w.mean- function(x, d) { E- x[d,] return(weighted.mean(E$A, E$B))} #Some fake data: test- data.frame(rnorm(1000, 5), rnorm(1000, 3)) test1- data.frame(rnorm(1, 5), rnorm(1, 3)) names(test)- c(A, B) names(test1)- c(A, B) # Getting the boot object and the CI, seem to works fine bootout- boot(test, w.mean, R=1000, stype=i) (bootci- boot.ci(bootout, conf = 0.95, type = bca)) # Now with a bigger data set, boot.ci returns an error. bootout1- boot(test1, w.mean, R=1000, stype=i) (bootci1- boot.ci(bootout1, conf = 0.95, type = bca)) Does anyone have an idea as to why this happens? (Session info below) Well, someone wiser than I with regard to boot() will be able to give a more definitive answer. In the meantime, note that you get the same 'problem' with your smaller dataset if you set the number of bootstrap replicates to less than the row dimension of your data.frame: bootout - boot(test, w.mean, R=999, stype=i) (bootci - boot.ci(bootout, type = bca)) So one way to handle your larger dataset is to use R = 1. Of course, you'll have to be patient - the result may take a while. Peter Ehlers Best, Lars sessionInfo() R version 2.12.1 (2010-12-16) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] da_DK.UTF-8/da_DK.UTF-8/C/C/da_DK.UTF-8/da_DK.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] boot_1.2-43 loaded via a namespace (and not attached): [1] tools_2.12.1 __ 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. __ 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.