similar to: all.equal() improvements (PR#8191)

--k1lZvvs/B4yU6o8G Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Hi! It is my duty to inform you about this very unfortunate security issue in the IRC DCC connection tracking code. The following mail has just been sent to bugtraq, Linux Vendors have been informed two weeks in advance in order to prepare their advisories.

--rwEMma7ioTxnRzrJ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline R, like recent versions of S-Plus, sometimes - but not always - loses names when subscripting objects with "[". (Earlier versions of S and S-Plus had the correct, name-preserving behavior.) This seems bad, it would be better to remove names only by explicit request, not as an accidental

Dear wizaRds, I use the MASS::kde2d function to estimate density of the two first principal components. I do that to have a graphic visualisation of a "group structure" in my dataset. So far, no problem. But i would like to estimate that density using weights according to the COS?? values that tells me if my observation is well represented on the factorial plan 1-2. I would like to

Estimate region of highest probabilty density Dear R-community I have data consisting of x and y. To each pair (x,y) a z value (weight) is assigned. With kde2d I can estimate the densities on a regular grid and based on this make a contour plot (not considering the z-values). According to an earlier post in the list I adjusted the kde2d to kde2d.weighted (see code below) to estimate the

Finally got a chance to install Centos 6.x x86_64 version and having an issue with the latest version of freenx. This is a desktop install on a esxi 5 with all updates and only thing I have installed is the latest vmware tools. When I enable the extras repo and install the nx-3.5.0-1.el6.ay.x86_64.rpm and freenx-0.7.3-8.el6.ay.x86_64.rpm. When I try to logon the desktop pops up but I get the

Rprof seems to ignore all time spent inside system() calls. E.g., this simple example actually takes about 10 seconds, but Rprof thinks the total time is only 0.12 seconds: > Rprof("sleep-system.out") ; system.time(system(command="sleep 10")) ; Rprof(NULL) user system elapsed 0.000 0.004 10.015 > summaryRprof("sleep-system.out")$by.total

What is the best code available for simple general purpose manipulation of tree (and/or directed graph) data structures in R? Looking through CRAN, I see a bunch of packages for stastical regression trees, but nothing that seems to provide an API for manipulating tree data structures. What I'm looking for is something along the lines of an R version of the Tcllib ::struct::tree API available

I'm currently using R CMD INSTALL to build and install some of my own custom R packages. Basically, I use a script which first builds a tarball of my R source code, and then calls R CMD INSTALL, which builds and installs that source package from the tarball, including re-compiling all my C code from scratch every single time, which is both totally unneccessary and tediously slow. What I

Dear list members, Any help on this efficiency issue would be greatly appreciated. I would like to find the most efficient way to run a non-vectorized function (here: fisher exact test p-value) iteratively using 4 matrices with identical dimensions. And as a result I aim for an array with identical dimensions containing the corresponding p-values. Please consider some code using a trivial

In the R-2-9-branch (svn revision 49914, 2009-09-24), R's configure script has an "--enable-threads" option. But, does it do anything useful? When I use "--enable-threads=posix", some of the configure output changes slightly, but it seems to have no effect on the actual link commands used when building R. Is that a bug, or am I misunderstanding what it's supposed to

On Linux x86-64 (Ubuntu 6.06), the latest R sources from the Subversion trunk fail to build with the following "recompile with -fPIC" error: $ ./configure --with-x=yes --prefix=$inst_dir --enable-R-shlib --with-tcltk=/usr/lib/tcl8.4 --with-tcl-config=/usr/lib/tcl8.4/tclConfig.sh $ make /usr/bin/ld: ../appl/approx.o: relocation R_X86_64_32 against `a local symbol' can not be

I'd like to install several different versions of R from source. I'm doing this on Ubuntu Linux 6.06 Dapper x86-64, which ships with R 2.2.1, so the versions of R I want to use are (for now) 2.2.1, 2.4.x, and the development head. Fetching the sources with Subversion and running configure with something like "--prefix=/usr/local/R-2.4-branch-20061130" is straightforward, but

In previous versions of R, as.character.Date() retained any names on its input vector. In R 4.3.2 beta, it removes names. Is this change intentional, or a bug? (For what it's worth, I greatly dislike this change, and hope it gets changed back.) $ grep DESCRIPTION /etc/lsb-release DISTRIB_DESCRIPTION="Ubuntu 20.04.1 LTS" $ R --vanilla R version 4.2.1 Patched (2022-07-09 r82577)

I want to create my own "[" function (for use on vectors, matrices, arrays, etc.), which calls the stock R "[", does some additional work, and then finally returns the modified result. But, how do I properly call the stock R "[" function? It takes a varying number of positional arguments, and its R-level closure is just: .Primitive("[") It's

For many years, when my R process starts up I've been automatically setting my preferred default plot colors, basically like so: my.colors <- c("black" ,"red" ,"gold" ,"sky blue" ,"green" ,"blue" ,"orange" ,"grey" ,"hot pink" ,"brown" ,"sea green" ,"cyan"

One of the great things about R is how readable and re-usable much of its own implementation is. If an R function doesn't do quite what you want but is close, it is usually very easy to read its code and start adapting that as the base for a modified version. In the 2.x versions of R, that was the case with read.table(). It was easy to experiment with its source code, as it all worked just

Regarding this change: > CHANGES IN R 3.1.0: > NEW FEATURES: > * type.convert() (and hence by default read.table()) returns a > character vector or factor when representing a numeric input as a > double would lose accuracy. Similarly for complex inputs. > > If a file contains numeric data with unrepresentable numbers of > decimal

On Tue, Nov 24, 2015 at 12:10:12AM +0100, Jeroen Ooms wrote: > Currently it is all to easy for package authors to introduce a memory > leak or stack imbalance by calling Rf_error() or > R_CheckUserInterrupt() in a way that skips over the usual cleanup > steps. I have a more modest request: Please improve the documentation of exactly what Rf_error() does and how it should be used!

I recently started using R 2.7.2, and noticed a surprising change in the behavior of var() on NA data: R 2.6.1 (Patched), 2007-11-26, svn.rev 43541, x86_64-unknown-linux-gnu: > stdev(rep(NA,3), na.rm=F) [1] NA > stdev(rep(NA,3), na.rm=T) [1] NA > var(rep(NA,3), na.rm=T, use="complete.obs") [1] NA R 2.7.2 (Patched), 2008-09-02, svn.rev 46491,

For using R's .Call interface to C functions, all the examples I've seen have the C function return type SEXP. Why? What does R actually do with this return type? What happens if I *don't* return a SEXP? Reason I ask, is I've written some R code which allocates two long lists, and then calls a C function with .Call. My C code writes to those two pre-allocated lists, thus, I