I am reading the chapter 4 of "Seamless R and C++ Integration with Rcpp" and I had a little problem.
In the "listing 4.13" the book given a example about how to use a function of R. I tried use other functions (different of the example) and I had success. My code is here:
#include <Rcpp.h>
// [[Rcpp::export]]
Rcpp::DataFrame myrandom(Rcpp::NumericVector x) {
int n = x.size();
Rcpp::NumericVector y1(n), y2(n), y3(n);
y1 = Rcpp::pexp(x,1.0,1,0);
y2 = Rcpp::pnorm(x,0.0,1.0,1,0);
y3 = Rcpp::ppois(x,3.0,1,0);
return Rcpp::DataFrame::create(Rcpp::Named("Exp") = y1,Rcpp::Named("Norm") = y2, Rcpp::Named("Pois") = y3);
}
sourceCpp("random.cpp")
myrandom(c(0.5,1))
In this case is OK, but when I try use Rcpp::pt I don't have success. My code is here.
#include <Rcpp.h>
// [[Rcpp::export]]
Rcpp::DataFrame myrandom2(Rcpp::NumericVector x) {
int n = x.size();
Rcpp::NumericVector y1(n);
y1 = Rcpp::pt(x,3.0,0,1,0);
return Rcpp::DataFrame::create(Rcpp::Named("T") = y1);
}
sourceCpp("random2.cpp")
myrandom2(c(0.5,1))
/Library/Frameworks/R.framework/Versions/3.0/Resources/library/Rcpp/include/Rcpp/stats/nt.h: In function ‘Rcpp::stats::P2<RTYPE, NA, T> Rcpp::pt(const Rcpp::VectorBase<RTYPE, NA, VECTOR>&, double, double, bool, bool) [with int RTYPE = 14, bool NA = true, T = Rcpp::Vector<14>]’:
random2.cpp:8: instantiated from here
/Library/Frameworks/R.framework/Versions/3.0/Resources/library/Rcpp/include/Rcpp/stats/nt.h:25: error: invalid conversion from ‘double (*)(double, double, int, int)’ to ‘double (*)(double, double, double, int, int)’
/Library/Frameworks/R.framework/Versions/3.0/Resources/library/Rcpp/include/Rcpp/stats/nt.h:25: error: initializing argument 1 of ‘Rcpp::stats::P2<RTYPE, NA, T>::P2(double (*)(double, double, double, int, int), const Rcpp::VectorBase<RTYPE, NA, VECTOR>&, double, double, bool, bool) [with int RTYPE = 14, bool NA = true, T = Rcpp::Vector<14>]’
make: *** [random2.o] Error 1
llvm-g++-4.2 -arch x86_64 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG -I/usr/local/include -I"/Library/Frameworks/R.framework/Versions/3.0/Resources/library/Rcpp/include" -fPIC -mtune=core2 -g -O2 -c random2.cpp -o random2.o
When I use Rcpp::pt(x,3) I want have control over de parameters od the function
pt(q, df, ncp, lower.tail = TRUE, log.p = FALSE)
I think that I'm not using correctly de function but I don't know what.
Aren't C++ compiler messages lovely? ;-)
I think you just helped squash a really old bug. For both t and F, R actually has two functions group (r|p|q|d)t and (r|p|q|d)nt (ditto for f and nf) where the second form allows for the non-centrality parameter. And I think out header for nt.h was wrong.
If you make this change in file include/Rcpp/stats/nt.h
@@ -22,7 +22,7 @@
#ifndef Rcpp__stats__nt_h
#define Rcpp__stats__nt_h
-RCPP_DPQ_2(t,::Rf_dt,::Rf_pt,::Rf_qt)
+RCPP_DPQ_2(nt,::Rf_dnt,::Rf_pnt,::Rf_qnt)
#endif
(which you can just edit in the header, no reinstallation needed) then things seem to work:
#include <Rcpp.h>
// [[Rcpp::export]]
Rcpp::DataFrame myrandom(Rcpp::NumericVector x) {
Rcpp::NumericVector y1, y2, y3, y4, y5, y6, y7, y8;
y1 = Rcpp::pexp(x,1.0,1,0);
y2 = Rcpp::pnorm(x,0.0,1.0,1,0);
y3 = Rcpp::ppois(x,3.0,1,0);
y4 = Rcpp::pt(x,3.0,1,0);
y5 = Rcpp::pnt(x,3.0,2,TRUE,FALSE);
y6 = Rcpp::pnt(x,3.0,2,TRUE,TRUE);
y7 = Rcpp::pnt(x,3.0,2,FALSE,TRUE);
y8 = Rcpp::pnt(x,3.0,2,FALSE,FALSE);
return Rcpp::DataFrame::create(Rcpp::Named("Exp") = y1,
Rcpp::Named("Norm") = y2,
Rcpp::Named("Pois") = y3,
Rcpp::Named("t") = y4,
Rcpp::Named("nt1") = y5,
Rcpp::Named("nt2") = y6,
Rcpp::Named("nt3") = y7,
Rcpp::Named("nt4") = y8);
}
I still need to check the numerics against R, but at least it builds now. (And TRUE/FALSE versus 1/0 does not matter; that gets cast correctly).
Edit: And here is some output:
> sourceCpp("/tmp/so1.cpp")
R> myrandom(seq(0.2, 0.5, by=0.1))
Exp Norm Pois t nt1 nt2 nt3 nt4
1 0.181269 0.579260 0.0497871 0.572865 0.0351335 -3.34860 -0.0357655 0.964866
2 0.259182 0.617911 0.0497871 0.608118 0.0434710 -3.13566 -0.0444441 0.956529
3 0.329680 0.655422 0.0497871 0.642032 0.0535219 -2.92767 -0.0550074 0.946478
4 0.393469 0.691462 0.0497871 0.674276 0.0654790 -2.72603 -0.0677212 0.934521
R>
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