similar to: R routine standalone

Linking my VC++ application with the standalone Rmath library yields the following; ------ Build started: Project: Complex plugin, Configuration: Debug Win32 ------ Linking... Creating library .\../Debug/complex_plugin.lib and object .\../Debug/complex_plugin.exp libRmath.a(mlutils.o) : warning LNK4217: locally defined symbol __iob imported in function _REprintf libRmath.a(dbeta.o) :

I've discovered an infelicity (I guess) in qbeta(): it's not a bug, since there's a clear warning about lack of convergence of the numerical algorithm ("full precision may not have been achieved"). I can work around this, but I'm curious why it happens and whether there's a better workaround -- it doesn't seem to be in a particularly extreme corner of parameter

Hello, I can't link a c code with Mathlib according to introduction of R manual "Writing R Extensions", page 60. It is written : "It is possible to build Mathlib, the R set of mathematical functions documented in 'Rmath.h?, as a standalone library 'libRmath? under Unix and Windows. (This includes the functions documented in Section 5.7 [Numerical analysis

It appears the Makefile.win in src/nmath/standalone might need some modification since cd src/nmath/gnuwin32 make -f Makefile.win make -f Makefile.win test fails. However if I remove libRmath.a from line 15 OR modify lines 67/68 replacing Rmath.a with libRmath.a then make -f Makefile.win test goes as expected. _________________________________________________________________

When making only the standalone math library, include/Rmath.h is not there, so compilation fails. A solution is to go to src/include/ and just say `make Rmath.h' there first. This is with R-2.2.0 on GNU/Linux on i686. The failing steps are: tar xzf ../R-2.2.0.tar.gz ./configure cd src/nmath/standalone make Would be nice if this worked, or if the issue were just mentioned in

Full_Name: Morten Welinder Version: 1.6.1 OS: Solaris/sparc Submission from: (NULL) (65.213.85.144) qbeta(0.1, 1e-8, 0.5, TRUE, FALSE) seems to hang for me.

Hi ! I have again problem with nmath standalone sources package. Following the suggestion of Reid, I did control that /usr/local, in which I copied the dir standalone, is listed in /etc/ld.so.conf. However, because of my big ignorance, I don't understand how I have to do the linkage to Rmath during the compilation of a source. What does it mean: "and link against -lRmath" in

Dear People, I am trying to use R's Math library as standalone, as documented in /src/nmath/standalone. I am using C++ in Debian testing, and the versions are as follows: ii g++-3.0 3.0.3-1 The GNU C++ compiler. ii r-mathlib 1.4.0-1 `GNU S' - Standalone R math library I have a file (rand.cc) as follows. I don't think that lattice.hh or mh.hh are very

Given that a number of us are housebound, it might be a good time to try to improve the approximation. It's not an area where I have much expertise, but in looking at the qbeta.c code I see a lot of root-finding, where I do have some background. However, I'm very reluctant to work alone on this, and will ask interested others to email off-list. If there are others, I'll report back.

Hello, I forgot to tell you that I am using Linux OS. And I can?t find directory "src/nmath/standalone". I will send you the test code I am using and the whole operation process. [credsim at confsys ~/src]$ gcc test1.c -o test1 -lRmath test1.c: In function `main': test1.c:18: warning: assignment makes pointer from integer without a cast test1.c:19: warning: assignment makes

Hi: I followed the README in src/nmath/standalone/ to make the use the command "make shared" to make the libRmath.so file. I also add the directories containg libRmath.so to LD_LIBRARY_PATH by using command "export D_LIBRARY_PATH=$LD_LIBRARY_PATH:$/home/zhliu/Backup/R-2.0.1/src/nmath/standalon e " However, when I try to run the following codes by the command

Hi: I followed the README in src/nmath/standalone/ to make the use the command "make shared" to make the libRmath.so file. I also add the directories containg libRmath.so to LD_LIBRARY_PATH by using command "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$/home/zhliu/Backup/R-2.0.1/src/nmath/standalon e " However, when I try to run the following codes.

Folks, I'm fairly sure that I'm doing something stupid, but I'm getting a few really strange results from *some* of the distributions, but by no means all, when I link directly to the R shared library. I've tried this on both Windows with the precompiled Mingw binary of R-2.5.0 (compiling my code with MinGW-3.4.2), and by building R-2.5.0 on Mandriva Linux with gcc-3.4.4 and

HI All: Does anyone know the code behind the qbeta function in R? I am using it to calculate exact confidence intervals and I am getting 'NaN' at places I shouldnt be. Heres the simple code I am using: k<-3 > x<-NULL > p<-rbeta(k,3,3)# so that the mean nausea rate is alpha/(alpha+beta) > min<-10 > max<-60 > n<-as.integer(runif(3,min,max)) > for(i in

Hi, I am wondering where the library file for R's nmath routines are? Doing a search on libR gave me the following: /usr/lib/libRKC16.so.1.2.0 /usr/lib/libRKC.so.1.2.0 /usr/lib/R/lib/libRlapack.so /usr/lib/R/lib/libR.so /usr/lib/libRKC.so.1 /usr/lib/libRKC16.so.1 None of these have the functions in nmath. Any help? Many thanks and best wishes! GT

Full_Name: Ziheng Yang Version: 1.3.1 OS: Windows 98 Submission from: (NULL) (172.136.54.89) I noticed that qbeta is sometimes wrong and the error is not even due to the beta parameters being too extreme. I am calculating the quantiles corresponding to cdf = 0.05, 0.15, ..., 0.95. The value corresponding to cdf=0.25 is wrong while all other values are correct. qbeta(0.05, 0.143891, 0.05) =

I need to run qbeta on a set of 500K different parameter pairs (with a fixed quantile). For most pairs qbeta finds the solution very quickly but for a substantial minority of the cases qbeta is very slow. This occurs when the solution is very close to zero. qbeta is getting answers to a precision of about 16 decimal places. I don't need that accuracy. Is there any way to set the precision of

Hi there, this is just to let you know that the qbeta function, which was copied from R into Gnumeric, has been confirmed to be miscompiled by gcc 2.96 on Linux. (That's Red Hat's compiler.) This shows by qbeta(0.025,4,0.5) ending up taking the wrong branch of "if (alpha <= 0.5)". We compile things in a different context, so this may or may not affect you. The qbeta

Hello I would like to see the algorithm that R uses to generate density functions for several distributions (i.e. Normal,Weibull, etc). I tried: >dnorm function (x, mean = 0, sd = 1, log = FALSE) .Internal(dnorm(x, mean, sd, log)) <environment: namespace:stats> How can I see the code used for densities? Thanks!

Hi, I'm seeing something that may be a bug in R's standalone math library, which is packaged by Debian as r-mathlib. I reported it to the Debian BTS as http://bugs.debian.org/657573 I'm using Debian squeeze, and the code was tested with r-mathlib 2.11.1-6 (default on stable) and 2.14.1-1 (from testing/unstable). I summarize this report below. The following code with the R math