Hi,

I uploaded my package to http://win-builder.r-project.org/ and had it built.

It can work on one machine, but on the other, it reports:

Loading required package: grt
Error: package 'grt' was built for i386-pc-mingw32
In addition: Warning message:
package 'grt' was built under R version 2.12.1
Execution halted

Is it because the package is built for win32? But in the manual it says R
for win32 works good on win64.

Note that the package has some C++ code.

best,
Liping Liu




On Thu, Jan 27, 2011 at 1:21 AM, Prof Brian Ripley <ripley@stats.ox.ac.uk>wrote:

> On Thu, 27 Jan 2011, Barry Rowlingson wrote:
>
>  On Thu, Jan 27, 2011 at 7:57 AM, 刘力平 <liping.liulp@gmail.com> wrote:
>>
>>> Hi,
>>>
>>> I write a package in Linux and ready to distribute, and I can install it
>>> in
>>> linux and run it.
>>> However, when I have install it in my Windows' R.
>>>
>>> I can not 'require' it.
>>>
>>>  is.element("grt", installed.packages()[,1])
>>>>
>>> [1] TRUE
>>>
>>>> require(grt)
>>>>
>>> Loading required package: grt
>>> Failed with error:  ‘'grt' is not a valid installed package’
>>>
>>> Is there any pitfall between platforms?
>>> And anywhere I could check more detailed error message.
>>>
>>
>> How did you install it in Windows? If you just copied it from the
>> Linux install directory, or if its in a shared directory, it probably
>> wont work.
>>
>> You need to do a proper R CMD INSTALL on Windows, and for that you'll
>> need the assorted dev tools for building R packages on Windows.
>>
>
> For the record: these days you do not need any extra tools unless the
> package contains code that needs compilation, and in the latter case we
> provide the win-builder service.
>
> However, the message indicates no file grt/Meta/package.rds, which would be
> there if the package was copied from Linux.  So we need to know exactly what
> was done.
>
>
>> Barry
>>
>> ______________________________________________
>> 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.
>>
>>
> --
> Brian D. Ripley,                  ripley@stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/<http://www.stats.ox.ac.uk/%7Eripley/>
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595

	[[alternative HTML version deleted]]

