similar to: problem with "[[<-" (PR#306)

> setClass('foo') [1] "foo" > setMethod('is.logical', 'foo', function(x) TRUE) [1] "is.logical" > getGeneric('is.integer') Error in options(x) : evaluation is nested too deeply: infinite recursion? > --please do not edit the information below-- Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system =

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### In version 0.99.0 for Windows NT I get the following: > .Random.seed [1] 0 21012

The Complex group generic for S4 methods is not working: > setClass('foo', representation(z='complex')) [1] "foo" > setMethod('Complex', 'foo', function(z) callGeneric(z@z)) [1] "Complex" > Arg(new('foo', z=1+0i)) Error in Arg(new("foo", z = 1 + (0+0i))) : non-numeric argument to function > The fix is

If .../<pkg>/man/ contains a filename beginning with [, such as [.datetimes, Rdconvlib.pl cannot convert that help file into latex at INSTALL time. [Using --no-latex is a workaround.] The error given is: # R INSTALL ssCatalogues : help >>> Building/Updating help pages for package `ssCatalogues' Formats: text html latex example /^[.datetimes$/: unmatched [] in regexp at

mtext(..., outer = TRUE) does not seem to center the text in the outer margins as it did previously. Reproduce with example(plot.profile.nls, package = "nls") On versions of the development sources before November 17 this produced main and subtitles that were centered horizontally on the page. After that the main title (from mtext("..", side = 3, outer = TRUE)) is centered

I've noticed quite a few messages relating to large data sets bedeviling R users, and having just had to program my way through one that actually caused a "Bus error" when I tried to read it in, I'd like to ask two questions. 1) Are there any facilities for aggregation of data in R? ( I admit that this will not do much for the large data set problem immediately) 2) Is there any

Function in the base library of R 1.8.0 seems to use a search path with base coming before the local environment. I think this is intentional and is related to base being a namespace. > log <- function(x, base) 200 > log(1) [1] 200 > log10 function (x) log(x, 10) <environment: namespace:base> > log10(1) [1] 0 > This is most problematic when you are creating a

Dear Sirs, I had the following (reproducible) problem: g1 <- gl(3,4) g2 <- gl(2,2,12) y <- rnorm(12) AA <- aggregate(y,list(g1,g2),mean) print(AA,2) # I should've said 'digits=2' but ... Segmentation fault (core dumped) # print(AA) and print(AA,digits=2) work as expected Many thanks, -Rashid Nassar --please do not edit the information below--

If you plot a vector of numbers which are all very similar (i.e. within the range of some eps), the y-axis is not drawn correctly. Either it is completely missing and there is an additional horizontal line (1st example below) or it is longer than the plotting region (2nd example). x <- c(0.12345678912345678,0.12345678912345679,0.12345678912345676) plot(x) y <- c(0.9999563255363383973418,

I have the following output from pretty(): > pretty(c(-.1, 1)) # note 2nd element [1] -2.000000e-01 -2.775558e-17 2.000000e-01 4.000000e-01 6.000000e-01 [6] 8.000000e-01 1.000000e+00 > as.character(pretty(c(-.1, 1))) [1] "-0.2" "-2.77555756156289e-17" "0.2" [4] "0.4" "0.6"

Hello, When I use det() and qr() on complex matrices the result is in some cases indeterministic. The documentation speaks of numeric matrices (and not of complex matrices) but det() uses qr() which should handle complex matrices correctly. I've also tried using only qr() with similar results. det() returns a value that is not the determinant of the complex matrix (in accordance with

It could be that the following may be due to something wrong that I managed to do (I cannot think what...) but I submit this report in case it is something that you want to know about (I have solved the problem by removing .Rprofile as I describe below). 1. After compiling/installing R 0.90 (an uneventful process), it worked perfectly the first time, and it read .RData written by the previous

Hello, I am interested in using nlme to model repeated measurements, but I don't seem to get good CIs. With the code below I tried to generate data sets according to the model given by equations (1.4) and (1.5) on pages 7 and 8 of Pinheiro and Bates 2000 (having chosen values for beta, sigma.b and sigma similar to those estimated in the text). For each data set I used lme() to fit a model,

as.name(as.name("ss")) gives an error in R (0.90 and earlier) but should of course give the same as simply as.name("ss") This reminds me of similar bug/problem... which I don't recall. Yes, I should build tests like these into "make test-Specific" .. Martin --please do not edit the information below-- Version: platform = sparc-sun-solaris2.5.1 arch =

Hello, I have been trying to debug a problem with R-0.90.0 (this bug was in 0.65.1, too). The following code results in seg faults. It doesn't seg-fault on Linux/intel. > memory.profile() > gc() As long as I don't execute memory.profile(), there is no problem with garbage collection. So I think that memory.profile() screws up the heap in some way. When it seg-faults, it dies in

At 10 Sep 1999 06:53:01 -0000, Mitsuru Oka <oka@debian.or.jp> wrote: > > > I found problem in R-0.65.0/src/scripts/R.sh.in script. > When I run R program with `R -d gdb', R script say, > > /usr/local/bin/R[104]: shift: bad number > > I fixed this problem by applying following patch to the script: ... > > Version: > platform = i586-unknown-linux

# R for Windows will not send your bug report automatically. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs at r-project.org # ###################################################### R versions R-2.6.2 and R-2.7.0 for M$-Windows no longer allow me to install as administrator (on my account) so the users can run R on their own

.. R is now configured for sparc-sun-solaris2.6 Source directory: . Installation directory: /unsup/R-0.64.2 C compiler: gcc -g -O2 FORTRAN compiler: g77 -O2 Gnome support: no $ gcc --version egcs-2.91.66 $ g77 --version GNU Fortran 0.5.24-19981002 "make check" later fails. The failure is in the test of the eigen() function. The

The following statements yield a seg.fault: R --vanilla --nsize 500K x <- rep(letters,10000) f <- function(x) {z<-paste("\"",x,"\"",sep=""); z} y <- f(x) Segmentation fault If a turn gcinfo on, I get Garbage collection [nr. 1]... 387529 cons cells free (75%) 3807 Kbytes of heap free (62%) Garbage collection [nr. 2]... 273868 cons cells free

With the assistance of Saikat DebRoy we have produced an nlme package (linear and nonlinear mixed-effects models) for R (see http://www.r-project.org/ for details about R). The nlme package for R requires R-0.90.0, which was released earlier today. Also released today was NLME 3.2 for S-PLUS. We will be working on incorporating the changes from NLME 3.1 to 3.2 into the R version but we wanted