similar to: R for CGI

Dear R users; I am using R for a project. I have some PHP forms that pass parameters to R for calculations, and publish the result in HTML format by CGIwithR. I'm using a Linux machine and every things work perfectly. However, it is too slow, it takes 5 to 10 seconds to run, and even if I start R from the Shell it takes the same amount of time, which is probably due to installing packages.

I'll appreciate if some one can help me with the following loop. This is the logic of the loop, if we have the following data; > x.df x.dif . . . . 102 0.00 103 0.42 104 0.08 105 0.00 106 0.00 107 0.00 108 -0.16 109 -0.34 110 0.00 111 -0.17 112 -0.33 113 0.00 114 0.00 115 0.00 116 0.33 117 0.17 118 0.00 . . . . I'm trying to find i's where for (i

Dear R users; I'm trying to use CGIwithR on a linux machine, I have followed the instructions on the package manual but still it does not run, the message that I get is as follows: The requested URL was not found on this server I used the example trivial, I put trivial.html under Web directory and trivial.R in cgi-bin directory, which itself is a subdirectory of Web directory, ( I have

R users; Does anyone have a recommendation for a faster plotting function rather than plot(x,y)? when I use plot(x,y) for a large number of variables, it take couple of moments to plot the graph? Sincerely, Sean

I appreciate if anyone can help me, I have a table as follow, > rate DATE VALUE 1 1997-01-10 5.30 2 1997-01-17 5.30 3 1997-01-24 5.28 4 1997-01-31 5.30 5 1997-02-07 5.29 6 1997-02-14 5.26 7 1997-02-21 5.24 8 1997-02-28 5.26 9 1997-03-07 5.30 10 1997-03-14 5.30 . ...... ... . ...... ... . ...... ... I want to extract the DATE(s) on

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

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

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"

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,

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

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

Hi, Has anyone succeeded in cross-compiling R to Linux on an ARM CPU? If so, can you share a little about your toolchain & build process? Thanks! [[alternative HTML version deleted]]

--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

Ok, I have a small dilemma, and I'm hoping someone here has had to do this before. I have at a site (not PARI) a server running some mission critical software that was written in 1997 for libc5, under AOLserver 2.3.? No, source code is not available for that version of AOLserver (it wasn't open-sourced until version 3.0, and the API changed rather dramatically at that point), not that it

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