similar to: AIX testers needed

I asked a question that might help me track down what changed between 2.3.1 that did build and the 2.4.0 version that will not build. Some of the undefined names the linker was complaining about looked like #define symbols that were not picked up by configure. The first thing I was hoping for was to find out if this problem looked familiar? Whether or not, I'm willing to try to work on

Per the request to test the latest tarball referenced below, I have built R on AIX 5.3. There is a memory issue, please see 3) below. 1) Build with --enable-BLAS-shlib option. Builds and passes "make check". 2) GNU libiconv was installed; R configured *without* the --without- iconv option. Builds and passes "make check." 3) Memory issue: a)

After loading the RODBC package version 1.1-7, Ctrl-C changes its behaviour and is quitting R and returning to the (unix-)command prompt on the solaris2.8 platform here. Here's what happened before and after loading RODBC > for (i in 1:10^5) rnorm(10) ^C > library(RODBC) > for (i in 1:10^5) rnorm(10) ^C bash-3.00$ platform sparc-sun-solaris2.8 arch

Full_Name: Daniel E. Platt Version: 2.4.0 OS: AIX 5.3 Submission from: (NULL) (129.34.20.23) Did a new build of gcc c,c++,gfortran v4.1.1, (re)built R 2.3.1 using config.site as spec'd in R-admin.pdf in sec C.9 as described by Jagat Sheth, with addition of FC=gfortran (configure tried using f95, which is present on the system, but won't bind with gcc's obj files). Applying the same

I am encountering a make error on an AIX 5.2 with R-2.3.0 and R-patched_2006-05-10 after successfully configuring them using gcc-4.1.0, gnu make, and the following configure options CC=/usr/local/bin/gcc F77=/usr/local/bin/gfortran CXX=/usr/local/bin/g++ MAIN_LDFLAGS=-Wl,-brtl SHLIB_LDFLAGS=-Wl,-G CFLAGS='-g -O' FFLAGS='-O' CXXFLAGS='-g -O' bash-3.00$ ./configure

I need help with (hopefully) just one more thing. I have been fussing with this for quite some time and have decided just to give up and ask! I want to match a column in a matrix to a vector. I found a "which" command that I thought would be helpful as it does the following: > g=c(1,5,3,2,7) > which(g==5) [1] 2 As the above gave which placement in the g vector corresponded to

Using AIX 5.3 and gcc-4.2.1 for building R-2.7.1 with the following configure flags OBJECT_MODE=64 CC="gcc -maix64" CXX="g++ -maix64" F77="gfortran -maix64" FC="gfortran -maix64" CFLAGS="-g -O3" CXXFLAGS="-g -O3" FFLAGS="-g -O3" FCFLAGS="-g -O3" LDFLAGS="-L/$HOME/usr/local/lib/ppc64

I'm trying to build R 2.4.0 on aix 5 and not having much luck. If anyone on the list has built 2.3 or 2.4 on AIX and would be willing pass along some hints, I would be grateful. So would the research group that's waiting to use R. Thanks, Roy Heimbach -- Roy Heimbach <royh at hpc.unm.edu> / 505-277-8348 User Services / Center for High Performance Computing University of New

I am trying to get R-2.2.1 to pass make check on an AIX 5.2 at work (I know R-2.2.1 is not the latest release, but I encountered make errors in my attempts to install either R-2.3.0 or the R-patched_2006-05-10 on the version of AIX I am on. I will post those errors in a separate posting from this.) So far, configure and make finish without error for R-2.2.1 using gnu make, gcc-4.1.0, and

Hello to all, I recently downloaded R to my PC and am enjoying getting acquainted with it. Thank you to everyone involved in the R-project! I am interested in doing a log-linear analysis with R on a data set with dichotomous variables. There are 11 variables (columns) and around 1000 subjects (rows). How do I aggregate my data, i.e. how do I make a new dataset that includes the variable giving

Hello all, I was wondering if the following behaviour of margin.table in R 1.3.0 is normal. > mm <- data.frame(x=c(0,0,1), y=c(1,1,0), z=c(0,1,0)) > margin.table(mm,1) [1] 1 2 3 <0 rows> (or 0-length row.names) while using 'apply(x,margin,sum)' I get > apply(mm,1,sum) 1 2 3 1 2 1 which appears to be normal. Similar behaviour when margin=2. On the other hand, the

Full_Name: Daniel E. Platt Version: 2.3.1 OS: Win/XP - Cygwin Submission from: (NULL) (68.198.10.240) Error report: terminate called after throwing an instance of 'St9bad_alloc' what(): St9bad_alloc Aborted (core dumped) No indication of what the calling routine was, where the request came from, etc. Am I simply requesting memory where non is available? Dan

We have R 2.2.1 installed on a Linux cluster that seems to have problems loading either of our shared object libraries for packages. This seems to be happening on both local and global versions of packages that we install. However, we have only noticed this problem in the past 3 months on this R installation, whereas some users had success before then. It could be that something on our system

Re-sending this from 10/7. Please help! I'm really clueless how to fix this: System: Solaris 7, Software: R_1.7.1 for unix > R CMD INSTALL -l /Rdir/library haplo.stats_1.1.0.tar.gz -works like a charm-- no syntax errors, etc But problems are when I'm loading the library within R. > library(haplo.stats, lib.loc="/people/biostat3/sinnwell/Rdir/library") > Error

Hi all, Hope someone can help me. I start out with a matrix called haplo with 600 rows and two columns. To start with, the elements of the matrix are character strings of 20 numbers. I then want to create separate objects, called ha1-ha600, that are the concatenated 20 + 20 numbers, as numeric. I am having no trouble doing anything except getting the index i to paste to the object ha(i) in

Hi, there, I cannot get accurate value for calculation. for example: ld<-sqrt(1*0.05*0.95*0.05*0.95) 0.05*0.95-ld=-6.938894e-18 0.05*0.95-ld==0 is False. I met this problem in my program, how can I handle it. Thanks. xj.

Hi All, I am using "glm" function to build logistic regression. I noticed that glm function glm function is computing many other statistics which are not required for our analysis. As our dataset is very big and we have to run logistic regression on several samples the run time drastically increases if all those statistics are computed. Is these any way to skip computation in glm

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Hi all, I have a R script that creates several input files for an analysis program. It loops through the matrix read into R and picks out submatrices and then creates a separate output file for each submatrix. The loop works great, but I am having trouble getting all the separate output files written. The line I have is: write.table(ch1d,

Hi, Anybody knows a function that can fit haplotype data to a Cox model. I've been searching it in the web without succeed. I use "haplo.stats" package, but unfortunatelly it's not possible to analyse survival data, amb I right?. Thanks in advance. Isaac Subirana (isubirana@imim.es) [[alternative HTML version deleted]]