Displaying 20 results from an estimated 1000 matches similar to: "R documentation -- buffer overflow? (PR#3400)"
2003 Jul 04
2
(PR#3400)
Martin Maechler asked me to restate my problem.
Compiling the file (slightly modified w.r.t. the formerly
attached file) that can be found at
http://www.geo.uni-bayreuth.de/~martin/filetransfer/xswms2d.Rd
terminates with the error message
******* Syntax error: mismatched or missing brackets in
/-----
.....
\-----
when compiled by
R CMD Rdconv -t txt xswms2d.Rd
However, the file does
2002 Mar 01
1
fft
Hi,
I have problems when calling fft_factor and fft_work directly in my
C-code. Martin Maechler already told me that I should not do this --
anyway, the code works fine if the length of the vector is a multiple
of 2,3,5.
If the length of the vector has different form I get, in some cases, a
segmentation fault when work and iwork are freed (I use C's malloc to
allocate memory for work and
2001 Jun 12
1
help(PackageName)
Dear R Core Team,
I'm wondering whether it is useful that every package should allow
for help(PackageName), giving some general information about the
package (more/nicer than library(help=PackageName)). This man page
may include some mathematical or statistical background, or contain
a guideline for the package.
Cheers,
Martin
--
Martin Schlather email:
2001 Mar 13
1
.C-calls
Dear all,
(sorry I got the wrong button for subscribing a minute ago)
At the moment I'm writing on a package for random field
simulation that I'd like to make publically availabe
in near future.
To this end I've asked Martin Maechler to have a look
at my R-code. He was very surprised about how
I perform the ".C"-calls, and encouraged me to
make this request for comments.
2002 Apr 04
3
assign, documentation (PR#1434)
Hi,
The help for `assign' says
In all the assignment operator expressions, `x' can be a name or
an expression defining a part of an object to be replaced (e.g.,
`z[[1]]'). The name does not need to be quoted, though it can be.
So I would expect that by
a<-1:4
assign("a[1]",2)
the first component of a gets the value 2, but the object "a[1]" is
2001 Mar 14
0
segmentation fault of unknown cause (PR#877)
Dear all,
Paulo Ribeiro, p.ribeiro@lancaster.ac.uk, and myself noticed
that R sometimes breaks down with a segmentation fault of
(at least for us) unknown course. (We've read #411 and #671
in the bug report on "optim" -- the problem described
there sounds familiar; but we have not found any hint on a
segmentation fault.)
Please find at the very end of this email the file
2002 Jul 30
1
Optim() returns wrong maximum
Dear R-devel
During the last half a year I have several times encountered the
following problem with optim() when using method= "L-BFGS-B".
The function return a value which is clearly not the maximum (seen from
printing the value each time the function is called). Some output is
shown below.
A few things I have observed (as I remember it):
a. The problem seems to occur when the
2002 Jul 19
1
read.table bug (PR#1809)
Full_Name: Michael McStephen
Version: 1.5.1
OS: Win2000
Submission from: (NULL) (203.25.148.63)
When using read.table to read a data file section by section, I get an error
that indicates R is attempting to read more "fields" than exist.
The Data file looks like this:
---Start of file tmp.txt-----------
Response Types = TPos TNeg FPos FNeg Anti Post MaxO
Test ID,Username,Start
2007 May 01
1
R CMD Rdconv drops sections: arguments, seealso, examples (PR#9649)
On Mon, 30 Apr 2007 bill at insightful.com wrote:
> On Tue, 10 Apr 2007 timh at insightful.com wrote:
>
> > I've created a .Rd file (below), then converted that to .sgml using
> > R CMD Rdconv --type=Ssgm combn.Rd > combn.sgml
> > The output (shown below) is missing some of the sections:
> > arguments
> > seealso
> > examples
> > If
2004 Jan 28
1
\link{\url{anything}} gives Rdconv trouble (PR#6496)
Full_Name: David Firth
Version: 1.8.0
OS: Mac OS 10.2.8
Submission from: (NULL) (80.177.12.48)
In .Rd files, we use \url{stuff} to refer to a URL on the web. Just as the
documentation says.
Perhaps this isn't a bug, then, but certainly it's a trap for the unwary. If
the construction
\link{url{something}}
appears in a .Rd file, then
Rdconv --type=html ...
gets stuck and appears
2007 May 21
1
size limit in R?
Hi,
Please see the email exchanges below. I am having trouble generating output that is large enough
for our needs, specifically when using the GaussRF function. However, when I wrote Dr. Schlather
(the author of the GaussRF function), he indicated that there is also a limit imposed by R itself.
Is this something that we can overcome?
Thank you very much for any assistance you may provde.
2007 Oct 10
2
documentation of .C (PR#9948)
Full_Name: Martin Schlather
Version: R version 2.7.0 Under development (unstable) (2007-10-01 r43043)
OS: Linux
Submission from: (NULL) (91.3.209.203)
Hi,
There are 2 dangers with using 'DUP=FALSE' mentioned:
* formal arguments
* lists
Would you also mention a third one, namely
that values in R are now only referenced whenever
possible and not always copied; hence .C(...,
2007 Apr 30
1
R CMD Rdconv drops sections: arguments, seealso, examples (PR#9645)
On Tue, 10 Apr 2007 timh at insightful.com wrote:
> I've created a .Rd file (below), then converted that to .sgml using
> R CMD Rdconv --type=Ssgm combn.Rd > combn.sgml
> The output (shown below) is missing some of the sections:
> arguments
> seealso
> examples
> If instead I convert to .d (below), the same sections are missing,
> and the "note"
2009 Jan 27
1
uninitialised value in R (PR#13476)
Hi,
I get an "Conditional jump or move depends on uninitialised value(s)"
from valgrind when using 'solve' in combination with some simple
C-code. (I did not use other functions of R besides 'solve'.)
In detail: running
R --vanilla -d "valgrind --tool=memcheck --memcheck:leak-check=yes
--num-callers=20 "
and calling
.Call("XXX")
nd <- 3
2004 Jan 30
2
request for comments --- package "distr" --- S4 Classes for Distributions
Hello,
after some discussions with Martin Maechler and Josef Leydold (WU Wien),
we have felt the need for some package that should allow for an
object-orientated
approach to distributions.
Our small group at Bayreuth now has developed a package "distr" which
tries to fill this gap, implementing distributions by means of
S4--classes.
A mother class "Distribution" is
2006 Mar 30
1
function min does not return correct result if .Machine$integer.max is involved (PR#8731)
Full_Name: Martin Schlather
Version: 2.2.0 and alpha 2.3.0 (06/3/29)
OS: Linux (x86_64 and Intel)
Submission from: (NULL) (139.11.183.106)
> min(.Machine$integer.max, 10^20)
[1] 1e+20
> min(as.integer(.Machine$integer.max), 10^20)
[1] 1e+20
but
> min(.Machine$integer.max + 0, 10^20)
[1] 2147483647
> min(as.integer(.Machine$integer.max - 1), 10^20)
[1] 2147483646
>
2009 Dec 29
1
different behaviour of NAs under valgrind (PR#14171)
Full_Name: Martin Schlather
Version: 2.10.0
OS: linux
Submission from: (NULL) (91.3.220.231)
Bug summary:
some functions behave differently for NAs when
valgrind is used in R, e.g. sum and prod
Bug demonstration:
--- without valgrind ----
> sum(c(NA,1)[1])
[1] NA
--- with valgrind ----
> sum(c(NA,1)[1])
[1] NaN
R call with valgrind:
R -d "valgrind --tool=memcheck
2002 May 17
0
What is the most efficient way to assign to PARTS of obje cts in other frames/environments?
For nested function calls it appears that a combination of environment()
and '<<-' will also work:
f1 <- function() {
x <- rep(NA,4) # Object to be modified by function f2
environment(f2) <- sys.frame(1) # Make f1's environment available to f2
f2(2) # Changes 2nd element of x
print(x)
}
f2 <- function(i) {
#
2012 Feb 19
1
coxme: model simplification using LR-test?
Hi
I'm encountering some problems with coxme
My data:
I'm looking at the survival of animals in an experiment with 3 treatments,
which came from 4 different populations, two of which were infected with a
parasite and two of which were not. I'm interested if infected animals
differe from uninfected ones across treatments.
Factor 1: treatment (3 levels)
Factor 2: infection state
2006 Apr 13
2
contribution offer: df() for non-centrality != 0
Hi R-devels,
I noticed that for the scheduled R 2.3.0,
there is still no function df() for
non-centrality != 0.
Easter is quickly approaching, so as my little
gift, I would like to offer you some code to fill
this gap:
After excluding some "unusual" cases,
it amounts to differentiating the corresponding
function pnf() --- which in turn leads to the
function dnbeta() already available