Hi Steffen,
On 23 July 2011 at 23:24, Steffen Neumann wrote:
| I am asking for a reading list (rather than the actual answers,
| certainly it is somewhere in the great and vast Documentation!)
| or best practices creating R bindings to a moderately complex
| C++ library.
|
| We have created htt
Sure. If I switch to g++-4.7 (from FSF svn) it disappears. Also, I think, if I
switch to Apple's g++-4.2.
Only happens with g++-llvm and clang++. Of course I think LLVM still says C++
support is incomplete.
--
Jan de Leeuw
Sent with Sparrow (http://www.sparrowmailapp.com/?sig)
On Saturday,
Hi,
I am asking for a reading list (rather than the actual answers,
certainly it is somewhere in the great and vast Documentation!)
or best practices creating R bindings to a moderately complex
C++ library.
We have created https://github.com/sneumann/mzR
which is an R package to read mass spectr
CCing Conrad even though I know he reads the list (and I fear he may have set
off for vacation in NZ). Also CCing Simon as usual when begging for OS X help :)
On 23 July 2011 at 13:56, Jan de Leeuw wrote:
| I compile a 64bit CLI version of the current R-devel from svn, with about
1000 add-on pac
I compile a 64bit CLI version of the current R-devel from svn, with about 1000
add-on packages, in Lion, using the clang and clang++ compilers
from the LLVM project (and gfortran 4.7). This generally works well, the
compiles are really fast, but for RcppArmadillo I get
** testing if installed
On 23 July 2011 at 11:26, Tim Triche, Jr. wrote:
| What do you use when you write larger packages (eg. RcppArmadillo)?
I have been an Emacs user since circa 1995 when I saw the light, having used
vi style editors since the very late 1980s on obscure unix systems and even
(as a port) under DOS.
I
What do you use when you write larger packages (eg. RcppArmadillo)?
I've always just used vim but that's because I'm stupendously lazy (also
because I have R set up to call vim when I use the fix() function, so it all
looks the same to me)
On Sat, Jul 23, 2011 at 10:55 AM, Dirk Eddelbuettel wro
On 23 July 2011 at 09:43, ian.fell...@stat.ucla.edu wrote:
| > And lastly ... given that also know Java so well: what works well /
| better with Rcpp for you?
|
| Speed. wordcloud was a cute little weekend project, but for my
| dissertation work, high performance is a primary concern, so I'm desi
On 23 July 2011 at 11:37, Dirk Eddelbuettel wrote:
| Ok, I'll be lazy now as I could just look at the code, but what type of
| layout operation did you move to C++? Is it a type of sorting / arranging /
| classifying / ... ? Does it rely on other libraries or did you solve it with
| homegrown C++
>
> On 23 July 2011 at 09:02, ian.fell...@stat.ucla.edu wrote:
> | Hi all,
> |
> | I've just released an R package to CRAN that creates pretty looking
word | clouds. I think it makes a good minimal example of how to
prototype an | algorithm in R, and then bring the performance bottleneck
down to c+
On 23 July 2011 at 09:05, Dirk Eddelbuettel wrote:
|
| On 22 July 2011 at 20:17, Dirk Eddelbuettel wrote:
| |
| | Conrad continues to pump out Armadillo releases:
| |
| | - a bug fix release Armadillo 2.0.2 arrived a couple of days and was
| |uploaded to CRAN as RcppArmadillo 0.2.25 where
On 23 July 2011 at 09:02, ian.fell...@stat.ucla.edu wrote:
| Hi all,
|
| I've just released an R package to CRAN that creates pretty looking word
| clouds. I think it makes a good minimal example of how to prototype an
| algorithm in R, and then bring the performance bottleneck down to c++ to
| i
Hi all,
I've just released an R package to CRAN that creates pretty looking word
clouds. I think it makes a good minimal example of how to prototype an
algorithm in R, and then bring the performance bottleneck down to c++ to
improve speed.
An example:
>install.packages("wordcloud",repos="http:/
On 22 July 2011 at 20:17, Dirk Eddelbuettel wrote:
|
| Conrad continues to pump out Armadillo releases:
|
| - a bug fix release Armadillo 2.0.2 arrived a couple of days and was
|uploaded to CRAN as RcppArmadillo 0.2.25 where it is patiently awaiting
[oops, that should have said 0.2.26]
|
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