On Tue, Apr 12, 2011 at 11:07 PM, Romain Francois
wrote:
>>
>> Just to clarify -- does your plan include storing user-modified
>> fields and properties in objects? E.g. below, modtest with the msg
>> set?
>
> yes. Although the way I see it, this will require more work for the
> developper, who w
The Journal of Statistical Software has just published what is also the
Rcpp-introduction.pdf vignette in the package.
This coincides with the release of Rcpp 0.9.4 which arrived at CRAN yesterday
and which now contains the citation info:
R> citation("Rcpp")
To cite Rcpp in publications use:
Thanks for the pointer Dirk (or in this case Rcpp::XPtr), I'll definitely
take a look at this. Have to go back to the drawing board a bit as I'd
currently been using a lot of built-in R functions so switching to
bigmemory will be a bit non-trivial. I promise I'll make a demo if I get
that far thou
Hi Chuck,
Thanks for posting here.
On 13 April 2011 at 12:22, ch...@chuckcode.com wrote:
| Thanks Jay for the lightning fast insightful response! Didn't realize that
| this limitation was intrinsic to R itself. I'll have to go look at
| bigmemory and some of the other projects.
Yes, Rcpp uses '
Thanks Jay for the lightning fast insightful response! Didn't realize that
this limitation was intrinsic to R itself. I'll have to go look at
bigmemory and some of the other projects.
Thanks,
-Chuck
On Wed, 13 Apr 2011 14:11:25 -0400, Jay Emerson
wrote:
> Chuck,
>
> Internally, R is using 4-by
Chuck,
Internally, R is using 4-byte integers for indexing, and the length of
a vector is thus constrained to 2-billion-ish elements. Two ways
around this include packages ff and
bigmemory, for example, or relying on database-like queries. However,
the resulting objects can't be used with standa
Hi All,
Thanks to Dirk Eddelbuettel and the other contributors for such a
wonderful package. Rcpp really transforms the way that I've been able to
incorporate c++ code into R. Makes it possible to speed up the critical
computations while keeping all the great flexibility and features of R.
I've
On 13 April 2011 at 16:51, Giuseppe Milicia wrote:
| >Can you use qualified names, as in Rcpp::as, or would that mean
| >rewriting most of the Rcpp headers?
|
| Doing that actually solves the problem and seems to be limited to modifying 3
lines in two headers RObject.h and Environment.h
|
| Ess
On Tue, Apr 12, 2011 at 11:11 AM, Giuseppe Milicia
wrote:
> Dirk,
>
> I steer away from the Solaris compiler, too many headaches there...
>
> I'm currently using gcc 4.4.3
>
> I tried rearranging the headers (in my code) but I got nowhere :( I suspect
> this is the case because sys/vnode.h is
>
As Dirk pointed out to me off-list, I shouldn't reply to email before
coffee. It was my mistake - you had indeed used RNGscope properly.
On Wed, Apr 13, 2011 at 8:27 AM, Cedric Ginestet
wrote:
> Thanks Douglas for being picky!
> I have indeed noted that I needed to use b+1 in my codes to produce
Thanks Douglas for being picky!
I have indeed noted that I needed to use b+1 in my codes to produce
discrete uniform variates. However, I am not too sure that I understand
how to use RNGScope properly. I originally referred to the Rcpp Sugar
codes provided in the Rcpp-introduction .pdf document
On Wed, Apr 13, 2011 at 6:50 AM, Cedric Ginestet
wrote:
> Brilliant, Dirk. Thanks for that.
> Next time, I'll read the Rcpp Sugar .pdf more carefully.
> Cheers,
Be aware that in both versions you will never return a vector
containing b, which might be confusing. That is, the argument b
should be
Brilliant, Dirk. Thanks for that.
Next time, I'll read the Rcpp Sugar .pdf more carefully.
Cheers,
On 13/04/11 12:43, Dirk Eddelbuettel wrote:
On 13 April 2011 at 12:19, Cedric Ginestet wrote:
| Hi guys,
|
| I want to produce discrete uniform variates within C++ from the runif()
| function avai
On 13 April 2011 at 12:19, Cedric Ginestet wrote:
| Hi guys,
|
| I want to produce discrete uniform variates within C++ from the runif()
| function available through Rcpp Sugar. However, I don't seem to be able to
find
| the appropriate cast in order to return an IntegerVector as opposed to a
|
Hi guys,
I want to produce discrete uniform variates within C++ from the runif()
function available through Rcpp Sugar. However, I don't seem to be able
to find the appropriate cast in order to return an IntegerVector as
opposed to a numeric one. I have naively used int(), but this is clearly
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