similar to: where is the source code of bca.ci?

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)

Hello! Maybe "frame" is not the right term in this context. I explain my problem by example code: fun2 <- function(objName, add) { ## the object "objName" should be increased by "add", ## but the evaluation should be done in the calling function (here: fun1) ## ...... what's the right code?? } fun1 <- function() { x <- 1 fun2("x",

I am new on R, so I have a maybe naive question: if I have many large data.frames and I use only one or two per session, what's the best way? If all are stored in the actual .Rdata, the system gets slow. On the other hand, I wouldn't like to make a separate package for the data. Should I save it with save() and then remove it with rm() ? Could I reload it then? Thanks for suggestions

Hi R user! What is the fastest way to export a large matrix or vector to a MySQL database? The use of data.frame() and dbWriteTable() makes the process slow, so is there any <direct> alternative? Regards Meinhard Ploner

Hi! Since August I am using emacs on my Macintosh to edit the R objects. I have installed R 1.9.1, Mac OS X 10.3.5 and GNU Emacs 21.2.1. However there are some issues I haven't resolved: a) switch the caps lock key to the meta key (and when this is not possible, switch the alt/option key to the meta). The switch should work only within emacs! b) having different colors for the code,

Hi! I have R 1.9.1, Mac OS X 10.3.5, GNU Emacs 21.2.1 and ESS 5.2.3. I installed today the ESS by not changing ess-site.el, but creating .emacs in $home with the single line: $ cat ~/.emacs (load "/usr/local/lib/ess-5.2.3/lisp/ess-site") If I start now emacs and then R (with M-x R) then I get: > options(STERM='iESS', editor='emacsclient') but using fix() oder

It's possible to overlap an external image (jpg or pdf) with a plot generated with R? Specifying the image as the background of the plot might not be possible... any idea? thanks Meinhard Ploner

Hi all, I have Win XP and R 2.3.1 on my notebook. I would like to write a package which includes some Fortran 95 code. Interestingly, if I compile and link the simple file test90.f90 directly with g95 -c test90.f90 g95 -shared -o test90.dll test90.o then PE Viewer ( a dll viewer) shows me the right functions in the export table, hence I can use the dll in R. But as it should become part of a

hi! I tried to build a very simple package with NAMESPACE file, such that datasets are loaded only dynamically. > a2 <- function(x=a1) x+4 > a1 <- 1:10 > package.skeleton("aaa", list=c("a1", "a2")) Then I modified the help files and added the file NAMESPACE with these 2 lines: useDynLib(aaa) export(a1, a2) Then "R CMD BUILD aaa" works

Hello! What is wrong on my system? I have downloaded today R 1.9.1 on my PC with Windows. plot.table isn't available in package <base> and neither in package <graphics> (as suggested after ?plot.table). Kind regards Meinhard Ploner [[alternative HTML version deleted]]

Hello, I have some problems with RODBC and Excel in Win98 I am using R 1.6.2 and just upgraded RODBC to the last version on CRAN. I have an Excel file with columns Number, Name, Sex, Age, FEV1 on Sheet 1 and Number, Age, FEV1, Name, Sex on Sheet 2. Now I open the channel to the file > chan1 <- odbcConnectExcel("c:/testOdbc.xls") > tables(chan1) and the list appears with the 2

Thanks a lot, James!! The problem is fixed. On the version 1.4.0 Mac/darwin (the latest available version for this system) the function read.table (which is called from read.delim etc., too) has the bug you explained. Inserting the row nlines <- nlines+1 after lines <- c(lines, line) removes this bug. M. On Friday, February 22, 2002, at 02:33 PM, james.holtman at convergys.com

Dear All, I am trying to use the bca.ci function on a boot.out object which consists a few NaN's and I want to ignore those NaN's, and get a ci only for the "normal" values. boot.out$t has R number of values for 3000 different statistics, so when I use boot.ci(boot.out, index=i) and i happens to be a column in boot.out$t with some NaN's in there I get an error message. I

In R prior to 2.6.0 with matrizes as well as with data.frames it is possible to do: a[2, c(TRUE, FALSE)] In R 2.6.0 the mixed indexing works only for matrizes. Is this the intention, a bug, or did I get something wrong? Best regards Meinhard Meinhard Ploner Althingstrasse 15 39031 Bruneck P.IVA 0234 058 0212 Tel. +39 340 8937861 www.data-ploner.com [[alternative HTML version

Hi I just installed the gmodels package and the installation was successful but when I was trying to load the library I got an error (see below). Interesting, yesterday I wrote to the maintainer of RSQLite apckage because I got the same error. Does somebody knows what is going on ?? thanks, Mayte library(gmodels) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load

Hi I just installed the gmodels package and the installation was successful but when I was trying to load the library I got an error (see below). Interesting, yesterday I wrote to the maintainer of RSQLite apckage because I got the same error. Does somebody knows what is going on ?? thanks, Mayte library(gmodels) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load

Hi all! My system: R 2.1.1, Mac OS X 10.4.2. I have a very memory-consuming job for R, consisting of a function calling some other functions, working often with matrices of size 100.000 x 300. If I call the job directly after starting R the job takes overall 40min, however only 7min of process time. I assume the large difference is through memory-handling which doesn't count as

I like to bootstrap regression models, saving the entire set of bootstrapped regression coefficients for later use so that I can get confidence limits for a whole set of contrasts derived from the coefficients. I'm finding that ordinary bootstrap percentile confidence limits can provide poor coverage for odds ratios for binary logistic models with small N. So I'm exploring BCa confidence

Hi, there: After I upgraded my R to 2.4.1, it is my first time of trying to use MASS and found the following error message: > install.packages("MASS") --- Please select a CRAN mirror for use in this session --- trying URL 'http://cran.cnr.Berkeley.edu/bin/macosx/universal/contrib/2.4/VR_7.2-33.tgz' Content type 'application/x-gzip' length 995260 bytes opened URL

Sometimes one might like to obtain pointwise bootstrap bias-corrected, accelerated (BCA) confidence intervals for a large number of statistics computed from a single dataset. For instance, one might like to get (so as to plot graphically) bootstrap confidence bands for the fitted values in a regression model. (Example: Chiu S et al., Early Acceleration of Head Circumference in Children with