Hi all,
I'm completely new to R and Rcpp, and I thought I'd just make a simple
program to see how Rcpp works. Here is the code:
#include
#include
#include
#include
RcppExport void get_weights(int num_of_numbers, double* numbers);
RcppExport void get_weights(int num_of_numbers, double* number
On Thu, Apr 14, 2011 at 12:43 AM, Christian Gunning wrote:
> 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
Hi Patrick,
Welcome!
On 14 April 2011 at 18:27, Patrick Ye wrote:
| Hi all,
|
| I'm completely new to R and Rcpp, and I thought I'd just make a simple program
| to see how Rcpp works. Here is the code:
You are a tad confused, which is excuseable given the amount of
documentation. You wrote a
Hi Dirk,
Thanks so much for the reply, I really appreciate it.
I thought that I was misusing Rcpp, as all the examples I found seemed
to be for writing C++ functions to be used in R -- not accessing R
functions in C++.
Thanks so much for your suggestions on RInside, I just found out about
i
On 14 April 2011 at 07:49, Douglas Bates wrote:
| On Thu, Apr 14, 2011 at 12:43 AM, Christian Gunning wrote:
| > 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.
On 14 April 2011 at 08:03, Dirk Eddelbuettel wrote:
| Or maybe you want to attach C++ functions to R after all. In which case you
| may want to look at inside (also on CRAN) and the example posted here. You
s/sinside/inline/
One day I start proofreading emails...
Sorry, Dirk
--
Dirk Eddelb
Hi again,
On 14 April 2011 at 23:20, Patrick Ye wrote:
| Hi Dirk,
|
| Thanks so much for the reply, I really appreciate it.
|
| I thought that I was misusing Rcpp, as all the examples I found seemed
| to be for writing C++ functions to be used in R -- not accessing R
| functions in C++.
|
|
Dirk,
>But about my polite request for help with Solaris cc compiler? Could you
>help there? You are the living being from planet Solaris to set foot in
>these corners and I mentioned, we do need some local help...
Thing is, I don't even have R built with the sun compiler. I had a quick go
to
Hi all,
I am trying to pass on a boolean vector from R to C++. I have naively
tried the following:
src <- '
using namespace Rcpp ;
using namespace std ;
int b = as(xb);
return wrap(b);'
cxxfun <- cxxfunction(sig=signature(xb="logical"),
On Thu, Apr 14, 2011 at 10:00 AM, Cedric Ginestet
wrote:
> Hi all,
>
> I am trying to pass on a boolean vector from R to C++. I have naively tried
> the following:
>
>
> src <- '
> using namespace Rcpp ;
> using namespace std ;
> int b = as(xb);
> return wrap
On 14 April 2011 at 16:00, Cedric Ginestet wrote:
| I am trying to pass on a boolean vector from R to C++. I have naively tried
the
| following:
[...]
| Is there an equivalent to IntegerVector or NumericVector for Boolean variables
| or can I simply use the Rcpp::Vector template for this purpose?
Yes. LogicalVector.
Le 14 avr. 2011 à 05:00 PM, Cedric Ginestet a
écrit :
> Hi all,
>
> I am trying to pass on a boolean vector from R to C++. I have naively tried
> the following:
>
>
> src <- '
> using namespace Rcpp ;
> using namespace std ;
> in
My colleague Sunduz Keles once mentioned a similar problem to me. She
had a large sample from a reference distribution and a test sample
(both real-valued in her case) and she wanted, for each element of the
test sample, the proportion of the reference sample that was less than
the element. It's
On Thu, Apr 14, 2011 at 8:19 PM, Ravi Varadhan wrote:
> Bill's code is insanely fast!
>
> f2 <- function(x, y) length(y) - findInterval(-x, rev(-sort(y)))
>
> n1 <- 1e07
> n2 <- 10^c(1,2,3,4,5,6,7)
> tt <- rep(NA, 7)
> x <- rnorm(n1)
> for (i in 1:length(n2)){
> y <- runif(n2[i])
> tt[i] <- syste
On Thu, Apr 14, 2011 at 7:02 PM,
wrote:
> I was able to write a very short C++ function using the Rcpp package
> that provided about a 1000-fold increase in speed relative to the best
> I could do in R. I don't have the script on this computer so I will
> post it tomorrow when I am back on the c
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