On 10 September 2012 at 22:42, Anthony Lee wrote:
| On 10/09/12 22:05, Dirk Eddelbuettel wrote:
| >
| > I didn't have a lot of time for your post but I suspect your design is
broken
| > if you plan to call an R function in each itereation of a C++ loop.
| >
| > Just because you can does not mean
On 10/09/12 22:05, Dirk Eddelbuettel wrote:
I didn't have a lot of time for your post but I suspect your design is broken
if you plan to call an R function in each itereation of a C++ loop.
Just because you can does not mean you should.
Dirk
In fact, there are some good reasons for doing so
On 10 September 2012 at 21:23, Anthony Lee wrote:
| It seems to be the casethat when the memory issue occurs, garbage
| collection has just been called by R, at least according to gcinfo.In
| particular, it is called when bar is called and cleans up the arguments
| that bar is about to use, thu
It seems to be the casethat when the memory issue occurs, garbage
collection has just been called by R, at least according to gcinfo.In
particular, it is called when bar is called and cleans up the arguments
that bar is about to use, thus causing a problem.
Is there a way to ensure the safety
On 04/09/2012 02:07 AM, Ian Fellows wrote:
Hi All,
So way back in the summer I figured out how to integrate Rcpp/RInside
into Eclipses build system allowing for things like code completion /
error checking work. I've been meaning to make some sort of public
guide, but have not gotten around to i
Hello,
I'm quite new to Rcpp (and R in fact) and I'm having a little bit of
trouble understanding what is going on in some of my code. I have
written a fairly small example that exhibits the troublesome behaviour
using inline (below). The code doesn't do anything interesting, but
runCode() do
Try;
require(Rcpp)
require(inline)
check2 <- cxxfunction(signature(arg1 = "numeric", arg2 = "numeric"), '
NumericVector q(arg1);
double mean = as(arg2);
double sd = 1.0;
return wrap(qnorm(q, mean, sd));
', plugin = "
On 10 September 2012 at 10:23, Rodney Sparapani wrote:
| On 09/07/2012 12:19 PM, Dirk Eddelbuettel wrote:
| > Make that Rcpp::NumericVector a = Rcpp::NumericVector(arg1); and things
| > will just work.
| >
| > Would be nice if the compiler messahes could be more helpful... All sugar
| > funct
On 09/07/2012 12:19 PM, Dirk Eddelbuettel wrote:
Make that Rcpp::NumericVector a = Rcpp::NumericVector(arg1); and things
will just work.
Would be nice if the compiler messahes could be more helpful... All sugar
functions are vectorised, so you must feed them a vector (which, as we work
with
On Mon, Sep 10, 2012 at 8:55 AM, Søren Højsgaard wrote:
> Dear list,
>
> I want to do some operations on an array, here exemplified by taking log (the
> operations I have in mind are made using RcppArmadillo):
>
>> pp <- array(c(.1, .4, .4, .1), dim=c(2,2),dimnames=list(A=c("a1","a2"),
>> B=c("
On 10 September 2012 at 13:55, Søren Højsgaard wrote:
| Dear list,
|
| I want to do some operations on an array, here exemplified by taking log (the
operations I have in mind are made using RcppArmadillo):
|
| > pp <- array(c(.1, .4, .4, .1), dim=c(2,2),dimnames=list(A=c("a1","a2"),
B=c("b1",
Dear list,
I want to do some operations on an array, here exemplified by taking log (the
operations I have in mind are made using RcppArmadillo):
> pp <- array(c(.1, .4, .4, .1), dim=c(2,2),dimnames=list(A=c("a1","a2"),
> B=c("b1","b2")))
> log(pp)
B
Ab1 b2
a1 -2.3025
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