similar to: Replace isnan and lgamma in Fortran subroutine in R package

Dear R users, i try to integrate lgamma from 0 to Inf. But here i get the message "roundoff error is detected in the extrapolation table", if i use 1.0e120 instead of Inf the computation works, but this is against the suggestion of integrates help information to use Inf explicitly. Using stirlings approximation doesnt bring the solution too. ## Stirlings approximation lgammaApprox

I've recently tried to get 0.62.3 up on our Suns (4.1.4, using gcc; I'm also having trouble with a Solaris 2.6 compile but I haven't given up hope on that one yet) -- the last compile I did was 0.61.1, which worked smoothly. Running ./configure --prefix=/usr/local/apps/R/R-0.62.3 [--with-g77] (tried both with and without g77, eventually get to the same place), I get a conflict

Dear R users: I wonder anyone is aware of such a thing from lgamma() > lgamma(-0.8) [1] 1.747207 I thought it should be NA as in S-PLUS. Both R-1.3.1 and R-1.5.1 report this result. I don't have the latest R-1.6.1 so I don't know whether this is corrected or not. Happy holidays, Paul.

The following seems very strange: > lgamma(-0.04) [1] 3.243307 > gamma(-0.04) [1] -25.61830 Jim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

Hi >From: Chris Lattner <sabre at nondot.org> >Date: Thu, 15 Jul 2004 17:43:27 -0500 (CDT) >Ah, suddenly everything makes sense. If you're interested in LLVM on the >windows platform, *please* get CVS. Last night I've got the latest version of LLVM from CVS and now porting LLVM to Interix from this version on. I got this error: --------------------- gmake[1]:

Hi Brian Here's the config.log (I'm not posting it on the dev-list). The automatic gcc macro for Interix is __INTERIX if this is to any help. /Henrik >From: "Brian R. Gaeke" <gaeke at uiuc.edu> >Reply-To: LLVM Developers Mailing List <llvmdev at cs.uiuc.edu> >To: LLVM Developers Mailing List <llvmdev at cs.uiuc.edu> >Subject: Re: [LLVMdev]

I have a problem building an extension using ISNAN() on R version 2.0.x. In R 1.9.1 Arith.h and Rmath.h contained code like #ifdef IEEE_754 # define ISNAN(x) (isnan(x)!=0) #else # define ISNAN(x) R_IsNaNorNA(x) #endif #define R_FINITE(x) R_finite(x) int R_IsNaNorNA(double); int R_finite(double); which works. R 2.0.x has # define ISNAN(x) (isnan(x)!=0) unconditionally. This breaks

I have a problem building an extension using ISNAN() on R version 2.0.x. In R 1.9.1 Arith.h and Rmath.h contained code like #ifdef IEEE_754 # define ISNAN(x) (isnan(x)!=0) #else # define ISNAN(x) R_IsNaNorNA(x) #endif #define R_FINITE(x) R_finite(x) int R_IsNaNorNA(double); int R_finite(double); which works. R 2.0.x has # define ISNAN(x) (isnan(x)!=0) unconditionally. This breaks

I don't know if Paolo submitted his patches for these files, but they are not in the CVS -- I've chosen a slightly different strategy, adding a case that checks if the compiler is MSVC instead of adding HAVE_FINITE_IN_FLOAT_H and HAVE_ISNAN_IN_FLOAT_H to the config.h file. I don't know which is the best approach, but this is the minimal patch to make it work... m. --------------

In the hope of some meaningful response and ignoring the risk of further abuse, let me try to clarify the issue here. I have re-read the 'Writing R Extensions' manual. It seems to me that it clearly says R API functions can be called from from C++ programs, and the API includes the special values ISNAN() and R_FINITE() and the missing test ISNA(). R_FINITE is no problem. It is

Dear R users, Have you experienced any difficulty in calling R's ISNAN() from a C code? I have C codes including ISNAN() calls and they worked well until I upgraded my R from 1.7 to later versions. When I tried to compile the codes in the version 1.8 and 1.9, I got error messages like this: test.obj : error LNK2001: unresolved external symbol _isnan .\testR.dll : fatal error LNK1120: 1

hello, please can anyone help me out. Am a new user of R program. Am having problem with this code below, not getting the expected results. 1. Each m, the cumulative sum should be 1.000 but the 2nd and 3rd m returned 2.000 and 3.000 instead of 1.000. 2. to get the LCL(m) and UCL(m) for each m base on these instructions if out.cum > 0.025 then LCL(m)= y-1 if out.cum >0.975

Hi, I would like to use the multinomRob function to test election results. However, depending on which independent variables I include and how many categories I have in the dependent variable, the model cannot be estimated. My data look like this (there are 68 observations): > head(database) RESTE09 GAUCHE09 PDC09 PLR09 UDC09 MCG09 RESTE05 GAUCHE05 PDC05 D1 1455

hello, please can anyone help me out. Am a new user of R program. Am having problem with this code below, not getting the expected results. Each m, the cumulative sum should be 1.000 but the 2nd and 3rd m returned 2.000 and 3.000 instead of 1.000. thanks Aruike pp=function(x,n,M){z=1.0;a=2.3071430;b=7.266064;H=3 out.h=c() out.y=c() out.m=c() out.prob=c()

I am porting some FORTRAN to R in which an Inf triggers an if(). The trigger is infinite on exp(lgamma(OVER)). What is the canonical R style of determining OVER when exp(OVER)== Inf? The code structure that I am porting is best left intact--so I need to query R somehow to the value of OVER that causes exp(lgamma(OVER)) to equal Inf. On my system, exp(lgamma(171)) is about first to equal Inf.

Dear: I try to revise the maximum likelihood function below using something constrains. But it seems something wrong with it. Becasue R would not allow me to edit the function like this. It is very appreciate if you can help. function (parameters,y,x1,x2) { p<-parameters[1] alpha1<-parameters[2] beta1<-parameters[3)] delta1<-parameters[4] alpha2<-parameters[5]

Dear Helpers, I wanted to import an S3 method from package glmnet to my own R package. Specifically, I tried the following: plot.glmreg=function(x, xvar=c("norm","lambda","dev"),label=FALSE,shade=TRUE, ...) UseMethod("glmnet") I got the following message when installing my package: Error : object 'plot.glmnet' is not exported by

I am trying to solve the integration equation, for different values of K from 4 to 25, the integration is with respect to u, Here is the equation: gamma(k/2) / ( sqrt(k-1)*gamma((k-1)/2) ) * integrate(f= (1+u^2/k-1)^(-k/2), lower=0, upper= sqrt(a^2*k/(k+1-a^2)) ) = the similar expression as te left hand except k becomes k+1 my code is below, I don't know why R keep telling me the syntax

Hi, I found the following on Windows 2000/NT R Version 1.9.1 (2004-06-21) (also Version 1.9.0): The S4 group "Math" doesn't work as documented; i.e., "log", "log10", "gamma" and "lgamma" are included in the documentation but don't work. See example code below. Moreover, what about 'genericForPrimitive' which is used in

Dear: Continuing the issue of 'ifelse'! I selecting the data whose 'x2'=1 for maximizing likelihood. I used two way to do this but the results are different. 1.Way one I use the data for x2=1 and run the program. It works for me. Tthe program is described as below: function (parameters,y1,x11) { p<-parameters[1] alpha1<-parameters[2] beta1<-parameters[3]