similar to: Surprising behavior of Negate()

Hello, the included XZ Utils source code contains an incorrect use of the restrict keyword. This leads to data corruption under certain circumstances. For a short discussion of the problem see http://sourceforge.net/projects/lzmautils/forums/forum/708858/topic/3306733 This was fixed in the XZ Utils git repository in commit commit 49cfc8d392cf535f8dd10233225b1fc726fec9ef Author: Lasse

Hello all, I'm new to R (and the S language in general) so go easy on me if this is really simple. Given a data.frame df which looks like this: f1 f2 f3 f4 c1 c2 1 y y a b 10 20 2 n y b a 20 20 3 n n b b 8 10 4 y n a a 30 5 I'd like to aggregate it by the factors f1 and f2 (or f2 and f3, or any other combination of the three) and compute the sum of c1 and c2 (as separate values). I

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Dear R developers, A recent typo led me to discover, that R is happy to accept > 20x2 [1] 20 as input. This appears to be related to the parsing of hexadecimal constants, since there must be a zero before the 'x' (i.e. 2x2 or 02x02 gives the expected error). All this is under R 2.12.1 on both OS X and Linux. Is this expected behavior? Cheers, Olaf Mersmann

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CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>

I've stumbled upon a small bug/inconsitency in do_External and do_dotcall: Here's an example: % LC_ALL=C R --vanilla < symname-bug.R R version 2.8.0 (2008-10-20) *snip* > options(error=expression(0)) > ## Call 'R_GD_nullDevice' with incorrect parameter count: > .Call("R_GD_nullDevice", 1) Error in .Call("R_GD_nullDevice", 1) :

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

Full_Name: Suzi Alves Camey Version: 2.7.2 OS: Submission from: (NULL) (143.54.37.254) Using the commands bellow I expected that the answer is TRUE, but it is FALSE! P_exposicao=.9 (1-P_exposicao)==.1

Hi, `model.matrix' might kill R with a segfault (on a illposed problem, but anyway): mydf <- as.data.frame(sapply(1:40, function(i) gl(2, 100))) f <- as.formula(paste("~ - 1 + ", paste(names(mydf), collapse = ":"), sep = "")) X <- model.matrix(f, data = mydf) *** caught segfault *** address 0x18, cause 'memory not mapped' Segmentation fault

I've integrated some DTrace [1] probes into R. Namely a probe which fires on fuction entry and return and one which fires before / after a garbage collection. Is there any interest in merging something like this into R-devel? If yes, I'd like to discuss which probes and what data would be useful / interesting from a developers standpoint. Greetings from Dortmund, Olaf Mersmann [1]

Hi, I believe I have significantly improved [dpq]wilcox functions by implementing Harding's algorithm: Harding, E.F. (1984): An Efficient, Minimal-storage Procedure for Calculating the Mann-Whitney U, Generalized U and Similar Distributions, App. Statist., 33, 1-6 Results on my computer show (against R-2.9.1): > system.time( dwilcox( 800, 800, 80) ) user system elapsed 0.240

I've rolled up R-2.9.2.tar.gz a short while ago. This is a maintenance release and fixes a number of mostly minor issues. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.9.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course (Duncan Murdoch is out of town, so Windows

I've rolled up R-2.9.2.tar.gz a short while ago. This is a maintenance release and fixes a number of mostly minor issues. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.9.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course (Duncan Murdoch is out of town, so Windows

tkimage.create function can read some images but can't read the other images. We can reproduce it by running the code below. ------------------------------------------------------------------------------------- library(tcltk) library(magick) # works fine tmp <- tempfile(fileext = ".gif") image_write(logo, tmp) image_tcl <- tkimage.create("photo",

Hello, On the local network, we have installed two separate GNU/Linux servers. One runs a 4.14.14-Debian version Samba-AD DC service while the other runs a 4.14.14-Debian version Samba service for file sharing. The second is a member of the AD domain. On the second one, when I want to show all the accounts defined in AD using the "getent passwd" command, the system returns the

Hello R-help, I noticed the following surprising behavior when using %in% to find elements in a vector generated using seq(). # weird!!! > c(7.7, 7.8, 7.9) %in% seq(4, 8, by=0.1) [1] TRUE FALSE TRUE # OK now > c(7.7, 7.8, 7.9) %in% round(seq(4, 8, by=0.1), 1) [1] TRUE TRUE TRUE # wait, how is this different? > c(7.7, 7.8, 7.9) %in% seq(7, 8, by=0.1) [1] TRUE TRUE TRUE Is there an

Hi Rowland, I'm really happy to talk to you again (the last time was a long time ago). For production issues, I can't change these settings at the moment, but I will soon. On the file server, the command "getent passwd user2" gives me the correct information about user2. But on the AD server, the command "getent passwd user2" still gives me information about