[R] Anyone managed to run JGR on amd64 Linux? SegFault

[Oleg Sklyar]

Hi,

is there anyone who successfully used JGR (Java GUI for R) on Linux 
machines, more specific on 64bit AMD? Tried to get JGR running but after 
installing it as recommended (all installs ok), got a segfault with a 
very nice "implement me" message:

osklyar at compaq[~]: R
 > install.packages("JGR",dep=TRUE)
 > library(JGR)
Loading required package: rJava
Loading required package: JavaGD
Loading required package: iplots
LOG: [(nil)] JNI_GetCreatedJavaVMs: IMPLEMENT ME!!!
Segmentation fault
compaq #

Any ideas?

Thanks,
Oleg

-- 
Dr Oleg Sklyar * EBI/EMBL, Cambridge CB10 1SD, England * +44-1223-494466

System information below:
-----------------------------------
Ubuntu Edgy, 2.6.17-6-amd64-k8 #2 SMP, nvidia X11
-----------------------------------
osklyar at compaq[~]: java -version
java version "1.5.0_08"
Java(TM) 2 Runtime Environment, Standard Edition (build 1.5.0_08-b03)
Java HotSpot(TM) 64-Bit Server VM (build 1.5.0_08-b03, mixed mode)
-----------------------------------
well, I know I need to update to release
osklyar at compaq[~]: R
 > sessionInfo()
R version 2.4.0 alpha (2006-09-15 r39323)
x86_64-unknown-linux-gnu

locale:
LC_CTYPE=en_GB.UTF-8;LC_NUMERIC=C;LC_TIME=en_GB.UTF-8;LC_COLLATE=en_GB.UTF-8;LC_MONETARY=en_GB.UTF-8;LC_MESSAGES=en_GB.UTF-8;LC_PAPER=en_GB.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_GB.UTF-8;LC_IDENTIFICATION=C

attached base packages:
[1] "methods"   "stats"     "graphics"  "grDevices" "utils"     "datasets"
[7] "base"
 >
-----------------------------------
R is now configured for x86_64-unknown-linux-gnu 

 

   Source directory:          . 

   Installation directory:    /home/osklyar/R 

 

   C compiler:                gcc  -O3 -march=x86-64 -g 

   Fortran 77 compiler:       /usr/bin/gfortran-4.0  -O3 -march=x86-64 
-g
 

   C++ compiler:              g++  -O3 -march=x86-64 -g 

   Fortran 90/95 compiler: 

 

   Interfaces supported:      X11 

   External libraries:        readline 

   Additional capabilities:   PNG, JPEG, iconv, MBCS, NLS 

   Options enabled:           shared R library, shared BLAS, R profiling 

 

   Recommended packages:      yes