Displaying 5 results from an estimated 5 matches for "borgman".
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bergman
2004 Mar 02
3
error() and C++ destructors
Hi,
I am writing C++ functions that are to be called via .Call() interface.
I'd been using error() (from R.h) to return to R if there is an error,
but then I realized that this might be not safe as supposedly error()
doesn't throw an exception and therefore some destructors do not get
called and some memory may leak. Here is a simple example
extern "C" void foo() {
string
2004 Feb 10
4
The ttest.c example in R under MS Windows
We are trying to compile and run the ttest.c example that comes with R (in
C:\Program Files\R\rw1081\src\library\windlgs\src\ttest.c). After compiling
it with MS Visual C++ we load the DLL with dyn.load.
So far it seems good, but when we try to call it from R (after running
C:\Program Files\R\rw1081\src\library\windlgs\R\windlgs.R) R crashes.
We have tried changing the exports from DLL but have
2004 Feb 17
10
How to write efficient R code
I have been lurking in this list a while and searching in the archives to
find out how one learns to write fast R code. One solution seems to be to
write part of the code not in R but in C. However after finding a benchmark
article (http://www.sciviews.org/other/benchmark.htm) I have been more
interested in making the R code itself more efficient. I would like to find
more info about this. I have
2004 Feb 18
0
Ang: How to write efficient R code
...there already exists an R function that solves the problem at hand. Instead of writing your own function, search the help files [apropos(), help.search()]. What I some times find difficult though, is guessing what key words will produce relevant search hits...
Mvh
Sixten
>>> <Lennart.Borgman at astrazeneca.com> 2004-02-17 15:36:12 >>>
I have been lurking in this list a while and searching in the archives to
find out how one learns to write fast R code. One solution seems to be to
write part of the code not in R but in C. However after finding a benchmark
article (http://www...
2004 Mar 04
2
Alternative mail archives?
I have no solution. However I wonder why the mail archives at
https://www.stat.math.ethz.ch/pipermail/r-help/ are not searchable by
Google. That would perhaps be a solution otherwise, since you can restrict
Google to search within just one site. (This applies to some other search
engines too.)
Since I am also interested in the possibility to search the archive I have
just sent a question to