Hi Kylie,
For your question, I don't think a wrapper can completely solve your
problem. The duplication occurs since your variable y has more than 1
reference number( Please see highlighted), so even you have a wrapper, any
changes on the value of the wrapper still can trigger the duplication.
>
#x27;t reveal what was going on, at least to me) and I don't
> have the time to dig super deeply into this right now, but perhaps Luke or
> Tomas know why this is happening of the top of their head.
>
> Sorry I can't be of more help.
>
> ~G
>
>
>
> On Fri, Ju
Hi,
I just found a strange increase in the reference number and I'm wondering
if there is any reason for it, here is the code.
> a=c(1,2,3)
> .Internal(inspect(a))
@0x1bf0b9b0 14 REALSXP g0c3 [NAM(1)] (len=3, tl=0) 1,2,3
> is.vector(a)
[1] TRUE
> .Internal(inspect(a))
@0x1bf0b9b0
t2, expr, evn))
>user system elapsed
> 2.307 0.000 2.313
> > system.time(test(C_test3, testFunc, evn$x))
>user system elapsed
> 2.131 0.000 2.138
>
> Iñaki
>
> On Tue, 18 Jun 2019 at 20:35, Iñaki Ucar wrote:
> >
> > On Tue, 18 Jun 2019
Hi,
I'm looking for a most efficient way to call an R function from C++ in a
package. I know there are two functions (`R_forceAndCall` and `Rf_eval`)
that can do the "call" part, but both are slow compared to calling the same
function in R. I also try to use Rcpp and it is the worse one. Here is m
Hi Alexandre,
I'm not an R expert so this is only my personal thought:
I don't think you can achieve what you want exactly. A possible solution
would be defining a binary operator %*%, where you can replace the asterisk
with any function name you want. The function %*% is special since it has
two
