I still have the errors.
trying URL 'http://cran.r-project.org/src/contrib/Rcpp_0.11.6.tar.gz'
Content type 'application/x-gzip' length 2352221 bytes (2.2 MB)
==
downloaded 2.2 MB
* installing *source* package ‘Rcpp’ ...
** package ‘Rcpp’ successful
Finally, you could always try placing this in a file located at
`~/.R/Makevars`:
CC=clang
CXX=clang++
This was an 'old' workaround that ensured packages were built with `clang`
on Mavericks and above, when the transition first began...
On Tue, May 5, 2015 at 9:01 PM, Kevin Ushey wrote:
> Oh,
Oh, I wonder if you have the Snow Leopard version of R installed, when you
should have the Mavericks version? What is the output of `sessionInfo()`?
You might need to install the (Mavericks, non-Snow Leopard) version of R
here: http://cran.r-project.org/bin/macosx/
On Tue, May 5, 2015 at 8:57 PM,
On Tue, May 5, 2015 at 10:52 PM, Kevin Ushey wrote:
> Your error:
>
> Error in dyn.load(file, DLLpath = DLLpath, ...) :
> unable to load shared object
> '/Users/py/Library/R/3.2/library/Rcpp/libs/Rcpp.so':
> dlopen(/Users/py/Library/R/3.2/library/Rcpp/libs/Rcpp.so, 6): Symbol
> not found: __ZN
On Tue, May 5, 2015 at 10:51 PM, Steve Lianoglou
wrote:
> Hi,
>
> On Tue, May 5, 2015 at 8:41 PM, Peng Yu wrote:
>> On Tue, May 5, 2015 at 3:12 PM, Steve Lianoglou
>> wrote:
>>> Following the instructions here worked for me:
>>>
>>> http://www.thecoatlessprofessor.com/programming/rcpp-rcpparmadi
Your error:
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object
'/Users/py/Library/R/3.2/library/Rcpp/libs/Rcpp.so':
dlopen(/Users/py/Library/R/3.2/library/Rcpp/libs/Rcpp.so, 6): Symbol
not found: __ZNSoD0Ev
says some (mangled) symbol named `__ZNSoD0Ev` could not b
Hi,
On Tue, May 5, 2015 at 8:41 PM, Peng Yu wrote:
> On Tue, May 5, 2015 at 3:12 PM, Steve Lianoglou
> wrote:
>> Following the instructions here worked for me:
>>
>> http://www.thecoatlessprofessor.com/programming/rcpp-rcpparmadillo-and-os-x-mavericks-lgfortran-and-lquadmath-error
>>
>> Although
On Tue, May 5, 2015 at 3:12 PM, Steve Lianoglou
wrote:
> Following the instructions here worked for me:
>
> http://www.thecoatlessprofessor.com/programming/rcpp-rcpparmadillo-and-os-x-mavericks-lgfortran-and-lquadmath-error
>
> Although the instructions have a slight typo in them, and probably sho
It works!
I used the configure.ac script to re-generate proper Makevars.
The tricky point is that I had to manually add directives to object
files and hide the config script, otherwise the Makevars file gets
rewritten when rebuilding. I feel like there must be some more elegant
way to do it..
Fabio,
The RcppGSL package ships its own example package:
edd@max:~$ cd /tmp/
edd@max:/tmp$ cp -vax
/usr/local/lib/R/site-library/RcppGSL/examples/RcppGSLExample/ .
‘/usr/local/lib/R/site-library/RcppGSL/examples/RcppGSLExample/’ ->
‘./RcppGSLExample’
‘/usr/local/lib/R/site-library/RcppGSL/exa
On 5 May 2015 at 15:18, Tim Keitt wrote:
| On Tue, May 5, 2015 at 9:11 AM, Dirk Eddelbuettel wrote:
| On 4 May 2015 at 14:42, Tim Keitt wrote:
| | Copying is where all the costs accumulate for sure. I find it mostly
| guesswork
| | whether something copies or not with Rcpp data st
Done already, without success. The whole Makevars file is as follows (I
didnt paste it before):
OBJECTS.PnuChart = ngraph.o RcppExports.o
OBJECTS.PnuChart = PnuChart/Finder.o
OBJECTS = $(OBJECTS.PnuChart)
PKG_CPPFLAGS = -DPRINTLOG -I"../inst/include" -I. -pthread
PKG_LIBS = -lcurl -lpthread `$(
You need to link to GSL as well. RcppGSL provides the appropriate flags
within `RcppGSL::LdFlags()`. See what RcppGSL does itself in its configure
scripts:
https://github.com/eddelbuettel/rcppgsl/blob/2849b8dd777c8057e524c2141dfeaa8e28840350/inst/skeleton/configure.win
.
Kevin
On Tue, May 5, 201
Ok, I found the 'scrm' Rcpp package: here the file scrmr.cpp provides an
interface for calling the scrm C++ application from R. following their
solution, I modified my Makevars file, adding:
OBJECTS.PnuChart = ngraph.o RcppExports.o
OBJECTS.PnuChart = PnuChart/Finder.o
OBJECTS = $(OBJECTS.PnuCh
On Tue, May 5, 2015 at 9:11 AM, Dirk Eddelbuettel wrote:
>
> On 4 May 2015 at 14:42, Tim Keitt wrote:
> | Copying is where all the costs accumulate for sure. I find it mostly
> guesswork
> | whether something copies or not with Rcpp data structures.
>
> By now we have said about 1e4 times that Rc
On 5 May 2015 at 16:28, Fabio Tordini wrote:
| Here is the actual (simple) code:
|
| Finder *f = new Finder();
| f->parseFiles(str_g, str_f, str_s);
So where is Finder implemented?
The computer tells you that you want to use it, but don't supply it.
Dirk
--
http://dirk.eddelbuett
Following the instructions here worked for me:
http://www.thecoatlessprofessor.com/programming/rcpp-rcpparmadillo-and-os-x-mavericks-lgfortran-and-lquadmath-error
Although the instructions have a slight typo in them, and probably should read:
curl -O http://r.research.att.com/libs/gfortran-4.8
On Mon, May 4, 2015 at 2:37 PM, Dirk Eddelbuettel wrote:
> Keep us posted.
After all that, I ended up with
lapply(lapply(1:length(x[[1]]),
function(i) lapply(x, function(a) a[[i]])),
unlist)
Probably fast enough. Its just too painful to deal with the possible types
Hi Dirk, thanks for your reply!
On 05/05/2015 04:14 PM, Dirk Eddelbuettel wrote:
On 5 May 2015 at 14:30, Fabio Tordini wrote:
| Everything compiles fine, but then it fails when loading the package:
|
| ** testing if installed package can be loaded
| Error in dyn.load(file, DLLpath = DLLpath, ..
On 5 May 2015 at 14:30, Fabio Tordini wrote:
| Everything compiles fine, but then it fails when loading the package:
|
| ** testing if installed package can be loaded
| Error in dyn.load(file, DLLpath = DLLpath, ...) :
|unable to load shared object
| '/home/fabio/R/x86_64-pc-linux-gnu-librar
On 4 May 2015 at 14:42, Tim Keitt wrote:
| Copying is where all the costs accumulate for sure. I find it mostly guesswork
| whether something copies or not with Rcpp data structures.
By now we have said about 1e4 times that Rcpp data structures are ("no
copies") whereas other (ie Boost, STL, ...)
Hi all,
I have a C++ application I developed, with its headers (.hpp) and
related .cpp files. Within this project I use a templated header-only
library for efficient parallel computing using pthreads, as well as the
GSL library.
My intent is to use this application within a R package, and I use
22 matches
Mail list logo
