similar to: using src/Makevars file

I downloaded R v2.1.1 earlier this morning to compile under Fedora Core 4. It compiled without incident, but 'make check' failed. Below is the relevant part of its report. Is this a known problem? I used a locally compiled version of GCC v4.0.0 that reports [kent at d89h102 R-2.1.1]$ gcc -v Using built-in specs. Target: i686-pc-linux-gnu Configured with: ../gcc-4.0.0/configure

I'm not looking for an answer here, this is just a report of a peculiar event I've observed and can reproduce. I'm developing a g95 (20050129) compiled package on windows xp pro using R-2.1.1, and gcc-3.4.2 (mingw special). An older version of the F95 package compiled and ran without problems. The new version of the package includes extensive changes in the code. The package has a

Hi, OSOL, b118 > milek at r600:~# flowadm show-flow > FLOW LINK IPADDR PROTO PORT > DSFLD > local_25 iwh0 -- tcp 25 -- > local_22 iwh0 -- tcp 22 -- > milek at r600:~# flowadm show-flow -s -i 1 > FLOW IPACKETS RBYTES IERRORS

I am trying to install R on a SLED 10.1 machine. R-base-2.7.0-7.1-i586.rpm fails with stas at linux-6b8s:~/RPMs> rpm -Uvh R-base-2.7.0-7.1.i586.rpm warning: R-base-2.7.0-7.1.i586.rpm: Header V3 DSA signature: NOKEY, key ID 14ec5930 error: Failed dependencies: libgfortran.so.1 is needed by R-base-2.7.0-7.1.i586 I tried to trick it into believing there's the library by setting up

I am receiving the above error ( full r session output below) the script runs OK in windows. and "genotypes" and "ploidy" are both correct arguments any suggestions would be most welcome Nevil Amos MERG/ACB Monash University School of Biological Sciences > library(Geneland) Loading required package: RandomFields Loading required package: fields Loading required

Hi, I was wondering if I might be able to ask some advice about doing residual plots for the lmer function in the lme4 package. Our group's aim is to find if the expression staining of a particular gene in a sample (or "core") is related to the pathology of the core. To do this, we used the lmer function to perform a logistic mixed model below. I apologise in advance

Hi Guys, it would be great if you could help me with a MLE problem in R. I am trying to evaluate the maximum likelihood estimates of theta = (a1, b1, a2, b2, P) which defines a mixture of a Poisson distribution and two gamma prior distributions (where the Poisson means have a gamma distribution, actually 2 gammas and P is the mixing factor). The likelihood function for theta is L(theta) = Pi,j{P

Hi guys again, it seems I haven't been doing the maximum likelihood estimation correctly. I quote below, can someone explain to me please what does it mean that the 2nd and 3rd derivatives of the function equals zero and how to compute that in R. "We have our initial estimated, subjective parameters for the gamma mixture and we have our likelihood that is the mixture of negative

I am just trying to adjust one of my packages so the C code builds in Windows. This is code that has been around for a long time, and I'm am only a casual reader of C, so it has had the "if it is not broken don't touch it" approach for many years. The section 1.2.1 "Using Makevars" of "Writing R extensions" starts: "Sometimes writing your own

1 simple question about network statistics for vnics: We noticed that the statistics for vnics (used by Virtualbox guests) are not there. When the nics are plumped in the host OS, we do see them showing up, but all all records are 0. Can someone tell me how to get the correct network info via snmp on the Vbox Host?? Thanks in advance. IF-MIB::ifDescr.1 = STRING: lo0 IF-MIB::ifDescr.2 = STRING:

Hi, I have a class called "spss" containing prepared info from an SPSS file. >... >class(ret) = "spss" >return(ret) The function that returns this defined in a file that I source into R. Also in that file is a function matSummary.spss. I think I ought to be able to call >matSummary(ret) to run the function, but only >matSummary.spss(ret) will work. What

Suppose I have a mixed-effects model where yij is the jth sample for the ith subject: yij= beta0 + beta1(age) + beta2(age^2) + beta3(age^3) + beta4(IQ) + beta5(IQ^2) + beta6(age*IQ) + beta7(age^2*IQ) + beta8(age^3 *IQ) +random intercepti + eij In R how can I get an F test against the null hypothesis of beta6=beta7=beta8=0? In SAS I can run something like contrast age*IQ 1,

I'm hoping that this is a relatively easy question for someone familiar with the lme4 package. I'm accustomed to using HLM software and writing a simple 2 level [null] equation like this: L1 - Yij = b0 + e L2 - b0 = B00 + u0 The following command in R provides results that are identical to the HLM program. results <- lmer( Y ~ 1 |id , PanelData4) I can't

Is it possible to run Fortran 95 code from R? I don't think so, but hopefully someone can prove me wrong. Here is the test I tried: A little fortran 95 subroutine: subroutine allloc() real, dimension(:, :), allocatable :: a integer :: n n = 10 allocate(a(n,n+1)) end I then compiled: >g95 -c allloc.f >R CMD SHLIB allloc.o Here is what happens when I try to dyn.load it in R 2.1.0

Is it possible to run Fortran 95 code from R? I don't think so, but hopefully someone can prove me wrong. Here is the test I tried: A little fortran 95 subroutine: subroutine allloc() real, dimension(:, :), allocatable :: a integer :: n n = 10 allocate(a(n,n+1)) end I then compiled: >g95 -c allloc.f >R CMD SHLIB allloc.o Here is what happens when I try to dyn.load it in R 2.1.0

This is a follow up to my question from yesterday. I want to do in R what is called a "3d scatter plot with drop lines" in S-PLUS. Basically, it's a 3dscatterplot with lines connecting the x-y grid to the z points. The lines give a better perspective on the shape of the data surface. How to? Joel Bremson UC Davis Statistics

http://cran.r-project.org/doc/manuals/R-exts.html#Configure-and-cleanup near the start of 1.2.1 Using Makevars says > There are some macros which are set whilst configuring the building of > R itself and are stored in R_HOME/etcR_ARCH/Makeconf. That makefile is > included as a Makefile after Makevars[.win], and the macros it defines > can be used in macro assignments and make command

Hi, I'm searching for a way to override the default CFLAGS/FFLAGS (-g -02 in my case) per package (e.g with "-g" for packages under development). PKG_CFLAGS/PKG_FFLAGS is prepended to the remaining flags, so it can't delete a globally set "-O2" flag. Of course I can edit the global Makeconf file, but I was wondering if there is a possibility to override variables from

Full_Name: Rick Sayre Version: 2.4.0 OS: Windows Submission from: (NULL) (138.72.27.164) PKG_LIBS works fine on *nix on windows, it seems to be ignored by the "SHLIB" script so, R CMD SHLIB blah properly uses PKG_CPPFLAGS and PKG_CFLAGS from Makevars, but PKG_LIBS is ignored

Dear all, As previously submitted, I wrote an extending pdf device to embed pop up text and web links. (Patches are available at http://pdf2.r-forge.r-project.org/patches) Now, I'm making a library version of the pdf device. However, with my skill, I'm not sure about writing Makevars or configure file for multi platforms. A following line in Makevars works on my mac, -----