On 06/06/2013 15:52, Dimitri Liakhovitski wrote:
Thank you very much, Brian.
It's clearly christal clear - but one needs a christal ball to realize
that! :-)
So I learned: architecture = bitness

On current Windows, yes.
But not on OS X nor Linux nor Solaris nor FreeBSD ....

It indicates the type of CPU, or more precisely the instruction set the CPU is running. x86_64 CPUs (as used by most current Windows boxes) can emulate i386 CPUs. So the architectures for R on Windows are

i386 (32-bit)
x64 (64-bit, the Windows name for x86_64).

Dimitri


On Thu, Jun 6, 2013 at 2:19 AM, Prof Brian Ripley <rip...@stats.ox.ac.uk
<mailto:rip...@stats.ox.ac.uk>> wrote:

    On 06/06/2013 00:38, Dimitri Liakhovitski wrote:

        Hello!
        I installed rJava and am trying to load it.

        library(rJava)

        Error : .onLoad failed in loadNamespace() for 'rJava', details:
            call: fun(libname, pkgname)
            error: No CurrentVersion entry in Software/JavaSoft
        registry! Try
        re-installing Java and make sure R and Java have matching
        architectures.
        Error: package or namespace load failed for ‘rJava’

        Any idea why?
        Background info:


    But the posting guide asked for the output from sessionInfo(): we
    want to know what R knows it is running as, not why you think.


        Windows 7, 64-bit
        R version 3.0.1 (for 64-bit)
        I just installed the lastest Java: Java 7 Update 21


    For the right architecture?

    The message is crystal clear: you do not have a Java installed
    matching your R.  Most likely your Java is 32-bit and your R 64-bit
    or v.v.



    --
    Brian D. Ripley, rip...@stats.ox.ac.uk <mailto:rip...@stats.ox.ac.uk>
    Professor of Applied Statistics,
    http://www.stats.ox.ac.uk/~__ripley/
    <http://www.stats.ox.ac.uk/~ripley/>
    University of Oxford,             Tel: +44 1865 272861
    <tel:%2B44%201865%20272861> (self)
    1 South Parks Road, +44 1865 272866 <tel:%2B44%201865%20272866> (PA)
    Oxford OX1 3TG, UK                Fax: +44 1865 272595
    <tel:%2B44%201865%20272595>




--
Dimitri Liakhovitski


--
Brian D. Ripley,                  rip...@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to