Prof Brian Ripley schrieb:
We've added a column at
http://cran.r-project.org/web/checks/check_summary.html
of test results using the Sun Studio compiler: it is intended that these
will be updated weekly.
The Sun Studio compiler is that used on Solaris: these runs were on the
Linux version. All the other platforms are using gcc 4, so this
provides an opportunity for checking for use of gcc-specific features
and also standards conformance (the Sun compilers have a long-time
reputation for close conformance to the language standards).
There are known problems where packages use C++ or JNI interfaces (e.g.
rgdal and EBImage) as the libraries and JVM were compiled under gcc's
conventions (even though a Sun JVMi is used). About half the packages
using rJava segfault, which seems to a JNI issue.
Some packages use gcc-specific compiler flags:
LogConcDEAD Matching amap geometry memisc taskPR
but the vast majority of the errors reported are C++ errors. One class
that may not be immediately obvious is the use of C headers in C++: you
are supposed to write e.g.
#includd <cmath>
NOT
#include <math.h>
Symptoms of this can be seen for packages
BayesTree EMCC MCMCfglmm MarkedPointProcess Matching Matrix
RQuantlib RandomFields Rcpp SoPhy compHclust dpmix igraph minet
mixer modeest monomvm multic pcaPP rgenoud robfilter segclust
simecol subselect
The reason can also be including <R.h> (as done in simecol) that
includes <math.h>
Do I understand it correctly that this means that including <R.h> is
wrong in C++?
I read "Writing R extensions" several times, but was not aware that this
was a mistake. If I replace <R.h> by <cmath> then it works on my
systems, but I want to be certain that there are no other side effects.
Thanks in advance for clarification!
Thomas Petzoldt
--
Thomas Petzoldt
Technische Universitaet Dresden
Institut fuer Hydrobiologie thomas.petzo...@tu-dresden.de
01062 Dresden http://tu-dresden.de/hydrobiologie/
GERMANY
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