similar to: ARM v7/Linux Port/cross-compile?

It would be nifty to incorporate this into R or into an R package: http://sourcefrog.net/projects/natsort/

Hi, I saw on the mailing list and in the NEWS file that some unsafe math transformations were disabled for the reference BLAS implementation that is used in R. We have a set of performance tests for the OpenMx library, and some of the tests have a x3-10 slowdown in R 2.12.0 versus 2.11.1. When I copy the shared library libRblas.0.dylib from the 2.11.1 installation into the 2.12.0 installation,

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"

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

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

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

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

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,

--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 developers, is there (already) a platform-independent way for (temporarily!) changing the fpu control word? More precisely: I am looking for functions (accessible from C code in R packages) which read and write the fpu control word on x86 cpus (and cause no harm otherwise), because I need to (temporarily) turn off internal 80-bit precision for some algorithms relying on 64-bit IEEE

Dear R Users; Perl is the common language to write CGI scripts which handle Forms. My question is that can R be as fast as perl to do the same job(with using CGIwithR package). Is it an optimal solution to connect R directly to a commercial HTML webpages, Sincerely, Sean

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

Dear R users, I am writing binding from C library to R. I use R 2.4.1, windows XP, and MinGW. commands set PKG_CPPFLAGS="-I../sources" "-I." set PKG_LIBS="-Lc:/mingw/lib" -lfl -liberty set DEBUG=T R CMD SHLIB -d --output=Rsnns.dll [ list of all C sources] produce the DLL having all defined functions in the export list. This doesn't satisfy me, as I would

Dear R-developers, I just realized that rank() behaves inconsistent if combining one of na.last in {TRUE|FALSE} with a ties.method in {"average"|"random"|"max"|"min"}. The documentation suggests that e.g. with na.last=TRUE NAs are treated like the last (=highest) value, which obviously is not the case: > rank(c(1,2,2,NA,NA), na.last = TRUE, ties.method

Dirk suggested I move this thread over here. I am trying to get a multithreaded (multi CPU) version of ATLAS working with R, and have been unable, thus far, to get it working. Has anyone gotten an multithreaded version of ATLAS working on Debian (64 bit)? I've tried this: apt-get source atlas -t unstable cd atlas-3.8.3 DEFAULTS=n fakeroot debian/rules custom but it is APPEARING to only

>>>>> Andrew Piskorski >>>>> on Tue, 24 Oct 2023 00:01:58 -0400 writes: > In previous versions of R, Not in R 4.3.0 or 4.3.1 {you are a bit late with updating ..}. > 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

Hi, I'm trying to write a function to return an R vector which points directly to a contiguous subset of another vector, without taking a copy. Since SEXPREC is a header followed by the data, rather than the header plus a pointer to the data, I'm not sure what I'm trying to do is possible. Is there a way of doing this? Similar in spirit to how the R assignment "x=y" does

Hi, We at 0xdata use Java and R together, and the new behavior for read.csv has made R unable to read the output of Java?s Double.toString(). This, needless to say, is disruptive for us. (Actually, it was downright shocking.) +1 for restoring old behavior. Thanks, Tom

In versions of R prior to 3.0, by default .C and .Call would find the requested C function regardless of which shared library it was located in. You could use the PACKAGE argument to restrict the search to a specific library, but doing so was not necessary for it to work. R 3.0 introduced a significant change to that behavior; from the NEWS file: CHANGES IN R 3.0.0: PERFORMANCE

Hi all, When developing a package, it's often useful to be able to reload it, without re-installing, re-starting R and re-loading. To do this I've written a little script that inspects the package description and loads dependencies, data and code - http://gist.github.com/180883. It's obviously not very general (being tailored to my description files) and won't work for packages