similar to: trouble building R on solaris

I'm trying to build R 2.10.1 on a Sun Blade 1000 running Solaris 10 (03/05 release). I've installed iconv 1.13.1 and used: CPPFLAGS="-I /export/home/drkirkby/sage-4.3.3.alpha0/local/include" (which is where iconv is) LDFLAGS= -R/export/home/drkirkby/sage-4.3.3.alpha0/local/lib -L/export/home/drkirkby/sage-4.3.3.alpha0/local/lib The build of R fails as below. gcc

Dear R devel list, Good morning; I'm with the Sage (http://www.sagemath.org) project. (Some of you might have seen my talk on this at last summer's useR conference). We have some rudimentary support for using R graphics in various cases, which has proved useful to many of our users who want to go back and forth between R and other capabilities within Sage. Unfortunately, the way we

Trying to get 2.11.1 built on a solaris 10 machine. This particular machine I do not have root access so I have just created an area under my home to use. I am currently having issues in the src/library area most specifically with getting the datasets area built. Here is the output form my most recent compile: building package 'datasets' all.R is unchanged

On Sun, Jun 13, 2010 at 8:28 AM, Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote: > > > On 13.06.2010 01:09, Dr. David Kirkby wrote: >> >> On 06/12/10 05:27 PM, Douglas Bates wrote: >>> >>> On Sat, Jun 12, 2010 at 8:37 AM, Dr. David Kirkby >>> <david.kirkby at onetel.net> wrote: >>>> >>>> R 2.10.1 is used in

There are a number of errors in the R manual about Solaris. http://cran.r-project.org/doc/manuals/R-admin.html#Solaris 1) Firstly, Sun are now owned by Oracle, who bought them for $7 billion. 2) "(Recent Sun machines are Opterons (?amd64?) rather than ?x86?, but 32-bit ?x86? executables are the default.) " That's incorrect. All recent Sun workstations used *Intel* CPUs -

Hello, I'm attempting to build R on Solaris 64-bit using gcc4, and am running into the following error: ld.so.1: R: fatal: relocation error: R_AMD64_PC32: file /home/chander.ganesan/src/r/R-2.15.0/lib/libR.so: symbol main: value 0x28001597b8c does not fit I've noticed - from some lists, and a bug here (http://trac.sagemath.org/sage_trac/ticket/9040) that this isn't an

> Looking for a recommended package that handles prime number computations. I'm not sure whether this would be helpful to you, but Sage (http://www.sagemath.org) has excellent number theory support and several ways to interface with R (which is included in the distribution of Sage). I use it myself to access several R packages I need to do analysis on data I produce in Sage/Python, and

Hi R-Devel, The Sage project (http://www.sagemath.org) has been working extremely hard for several years to create a viable free open source alternative to Maple, Matlab, Mathematica, and Magma. Numerous users have requested statistical functionality. Though Sage includes scipy and numpy, which have some statistical functionality, we've decided the best longterm solution is to strongly

What are some effective ways to leverage the strengths of R and Mathematica for the analysis of a single data set? More specifically, are there any functions that can assist with any of the following? 1. Calling an R function from Mathematica. 2. Calling a Mathematica function from R. 3. Using XML or another reliable data format to pass vectors, matrices, and/or lists from one environment to

I've tried to build R 2.6.1 and 2.7.0 on Solaris 10 update 4 (SPARC) and both configure ok, so you might ask why I suspect there is a problem. I tried to build the maths program Sage http://www.sagemath.org/ version 3.0.3alpha1. Sage fails when building R 2.6.1 - (Sage includes R in the package). The relavant bit of Sage, which is only using an unmodified R configure script is: checking

The R manual says R will not build with gcc on 64-bit Solaris x86 with gcc http://cran.r-project.org/doc/manuals/R-admin.html#Solaris "Tests with gcc32 on ?x86? and ?amd64? have been less successful: ?x86? builds have failed on tests using complex arithmetic33, whereas on ?amd64? the builds have failed to complete in several different ways, most recently with relocation errors for

Hello, Can anyone recommend a good example of web implementation of R? Can't seem to find anything on my own. Thanks in advance! Sam [[alternative HTML version deleted]]

I was able to get the loop to increment from -999 to 0 using IR directly. That got rid of the cmpq. The carry i was after was able to be obtained using the intrinsic @llvm.uadd.with.overflow.i64, however there is no way to add with carry and have it realise that the resulting *carry out* cannot exceed 1. It actually writes the carry to a byte, and then uses logical operations on it, which slows

Dear R Help, I work with the Sage project, and we are trying to improve the ability to use R through Sage. Most things work, but make check seems to cause problems on certain platforms, and now that we want to upgrade to 2.10.1 I thought we should ask for help! R builds just fine on both Mac and Linux, but some things in make check seem to break on certain Linux boxes that don't on Mac or

R is used in the Sage project. R is building on Solaris 10 with SPARC processors. Until recently, I did not give it much more thought, as it appeard to build ok. More recently someone noticed a test failure. It would appear a number of modules are not building (Matrix, class, mgcv, nnet, rpart, spatial, and survival) are all failing to build. But the R build process does not terminate. Is

On Fri, Jun 11, 2010 at 3:28 PM, Bill Hart <goodwillhart at googlemail.com> wrote: > Hi Eli, > > On 11 June 2010 22:44, Eli Friedman <eli.friedman at gmail.com> wrote: >> On Fri, Jun 11, 2010 at 10:37 AM, Bill Hart <goodwillhart at googlemail.com> wrote: >>> a) What plans are there to support addition, subtraction, >>> multiplication, division,

Hi all, After searching for a decent compiler backend for ages (google sometimes isn't helpful), I recently stumbled upon LLVM. Woot!! I work on bignum arithmetic (I'm a professional mathematician) and have recently decided to switch from developing GPL'd bignum code to BSD licensed code. (See http://www.mpir.org/ which I contributed to for a while - a fork of GMP). Please bear with

On 12 June 2010 00:51, Eli Friedman <eli.friedman at gmail.com> wrote: > On Fri, Jun 11, 2010 at 3:28 PM, Bill Hart <goodwillhart at googlemail.com> wrote: >> Hi Eli, >> >> On 11 June 2010 22:44, Eli Friedman <eli.friedman at gmail.com> wrote: >>> On Fri, Jun 11, 2010 at 10:37 AM, Bill Hart <goodwillhart at googlemail.com> wrote:

Hi Bill- I think, ideally, the backend would be able to match arbitrary-precision arithmetic to add-with-carry or subtract-with-borrow through i65/i33. That would remove the need for the overflow intrinsics entirely. Alistair On 13 Jun 2010, at 02:27, Bill Hart wrote: > I was able to get the loop to increment from -999 to 0 using IR > directly. That got rid of the cmpq. > > The

Hello dear R users, Recently there has been several fascinating threads on the website stackoverflow <http://stackoverflow.com> regarding the subject of R WorkFlow best practices: - What best practices do you use for programming in R?<http://stackoverflow.com/questions/2258092/what-best-practices-do-you-use-for-programming-in-r> - Workflow for statistical analysis and report