On 17 February 2015 at 18:31, Yixuan Qiu wrote:
| Oops sorry, should be begin(). data() is the Eigen method.
Ah, indeed.
And begin() has been there for a lng time. And we have shown the
trick of initializing with it several dozen times too -- all the early
RcppArmadillo docs show it.
Dirk
I agree that having an assert which complies with CRAN standards would
be valuable.
One piece of immediate feedback on your initial implementation: you
can't call Rf_error from C++ code (as it will bypass C++ destructors
on the stack). Rather, you should throw Rcpp::exception.
Whether assert shou
Dirk Eddelbuettel and I were discussing how people do not seem to be
putting assert() statements in their C code in Rcpp packages. I expect
the reason is because assert() prints to cerr, which is a violation of the
CRAN policies of proper packages. However, the assert() command is a
simple macro
Oops sorry, should be begin(). data() is the Eigen method.
Best,
Yixuan
On Feb 17, 2015 6:12 PM, "Sparapani, Rodney" wrote:
> On Tue, 2015-02-17 at 15:57 -0500, Yixuan Qiu wrote:
> > Hello Rodney,
> >
> > If all you need is to pass a pointer to the fit() function (assuming
> > fit() does not mod
On 17 February 2015 at 23:12, Sparapani, Rodney wrote:
| That's exactly what I wanted! However, I can't seem to find that method
| at http://dirk.eddelbuettel.com/code/rcpp/html
The documentation is for version 0.11.4.
| I'm using Rcpp 0.10.3 w/ 2.15.3 R and GCC 4.4.7 if it matters.
Ouch.
Yo
On Tue, 2015-02-17 at 15:57 -0500, Yixuan Qiu wrote:
> Hello Rodney,
>
> If all you need is to pass a pointer to the fit() function (assuming
> fit() does not modify x) and get the result a, you do not need to make
> a copy. Simply wrap _x by a NumericVector and call the data() method.
>
> Rcpp::
Hello Rodney,
If all you need is to pass a pointer to the fit() function (assuming fit()
does not modify x) and get the result a, you do not need to make a copy.
Simply wrap _x by a NumericVector and call the data() method.
Rcpp::NumericVector x(_x);
double a = fit(x.data(), n);
You can even dire
Hi Gang:
I am working with some C++ code that uses pointers. I know I could
change the code. But, I was wondering if there is an easy way to
map the double pointer into the R data via Rcpp. I have been using
RcppEigen to do that. For example...
RcppExport SEXP myfunc(SEXP _n, SEXP _x) {
