Hi guys,
Sorry to be bringing this up so close after the CRAN release, but I just
stumbled upon them today.
-----
1) The table function occasionally produces names as '-0', rather than '0',
for numeric vectors (haven't tested in other situations yet):
#include <Rcpp.h>
using namespace Rcpp;
// [[Rcpp::export]]
IntegerVector counts(NumericVector x) {
return table(x);
}
/*** R
set.seed(123)
x <- round( rnorm(100), 0 )
counts(x) ## names: -2, -1, -0, 1, 2
y <- round( rnorm(1000), 0 )
counts(y) ## names: -3, -2, -1, 0, 1, 2, 3, as expected
*/
-----
2) The table function doesn't return the correct names for factors:
#include <Rcpp.h>
using namespace Rcpp;
// [[Rcpp::export]]
IntegerVector counts(IntegerVector x) {
return table(x);
}
/*** R
set.seed(123)
x <- factor( round( rnorm(100), 0 ) )
counts(x) ## names: 1, 2, 3, 4, 5; should be -2, -1, 0, 1, 2
*/
-----
1) is really strange and I'm not sure why it's occurring; 2) is due to the
internal codes of a factor being integers, and those being passed along to
the names. This could be easily fixed by checking if x is a factor and
setting the names attribute to be the levels of the input object in that
case.
> sessionInfo()
R version 3.0.0 (2013-04-03)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] Rcpp_0.10.4 tools_3.0.0
As always, thanks for all the work on Rcpp. The reason why I'm so invested
in the table sugar function is because it's up to 100x faster than the base
R table function, and hence is great for 1D summaries of large vectors.
-Kevin
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