On Sat, May 04, 2019 at 06:05:48PM +0200, peter dalgaard wrote:
>
> - figure out Fortran2003 specification for C/Fortran interoperability
> -- this _sounds_ like the right solution, but I don't think many
> understand how to use it and what is implied (in particular, will it
> require making chang
In versions of R prior to 3.6.0 the following invocation succeeds,
returning the data frame shown:
> read.table("https://www.dwds.de/r/stat?corpus=kern&cnt=tokens&date=decade&format=text";,
> header=TRUE)
Dekade Anzahl
11900 11467254
21910 13023370
31920 13434601
41930 132963
On Sat, May 04, 2019 at 06:42:47PM +0200, Thomas König wrote:
>
> > - figure out Fortran2003 specification for C/Fortran interoperability
> > -- this _sounds_ like the right solution, but I don't think many
> > understand how to use it and what is implied (in particular, will
> > it require making
Hi, R Developers,
I'm interested in porting the R example datasets package to GNU Octave
and Matlab. Would you have objections to my doing so?
This would involve transforming the example data and metadata into a
format that Octave understands, and porting all of the datasets' Example
code pieces
Hi, R developers,
It seems there might be an issue with the "austres" example dataset in
the "datasets" package. The description in austres.Rd says it's
"measured quarterly from March 1971 to March 1994". But there are only
89 observations in the data as defined in the source code. By my count,
th
Dear developeRs,
I appreciate that boxplot now labels the axes with variable names per
default. However, with argument "horizontal=TRUE" (which I always use),
the default axis labels are mixed up, as can e.g. be seen with
require(boot)
boxplot(time ~ poison, poisons, horizontal=TRUE)
The cor
On 5/4/19 6:49 PM, Steve Kargl wrote:
On Sat, May 04, 2019 at 06:42:47PM +0200, Thomas König wrote:
- figure out Fortran2003 specification for C/Fortran interoperability
-- this _sounds_ like the right solution, but I don't think many
understand how to use it and what is implied (in particular,
On 04.05.19 19:04, Stephen Berman wrote:
> In versions of R prior to 3.6.0 the following invocation succeeds,
> returning the data frame shown:
>
>> read.table("https://www.dwds.de/r/stat?corpus=kern&cnt=tokens&date=decade&format=text";,
>> header=TRUE)
>Dekade Anzahl
> 11900 11467254
>
On 5 May 2019 at 10:47, Andrew Janke wrote:
| I'm interested in porting the R example datasets package to GNU Octave
| and Matlab. Would you have objections to my doing so?
You don't even have to ask...
[...]
| Since R's datasets package is GPL, I think I'd be within my rights to
| just do thi
> Wollschlaeger, Daniel
> on Fri, 26 Apr 2019 15:13:36 + writes:
> In a glm() call using a quasi() family, one may define a custom variance
function in the form of a "list containing components varfun, validmu,
dev.resids, initialize and name" (quoting the help page for fami
On 5/6/19 12:57 PM, Janne Blomqvist wrote:
> On Mon, May 6, 2019 at 11:55 AM Tomas Kalibera
> wrote:
>> On 5/4/19 6:49 PM, Steve Kargl wrote:
>>> On Sat, May 04, 2019 at 06:42:47PM +0200, Thomas König wrote:
> - figure out Fortran2003 specification for C/Fortran interoperability
> -- this
On Mon, May 6, 2019 at 11:55 AM Tomas Kalibera wrote:
>
> On 5/4/19 6:49 PM, Steve Kargl wrote:
> > On Sat, May 04, 2019 at 06:42:47PM +0200, Thomas König wrote:
> >>> - figure out Fortran2003 specification for C/Fortran interoperability
> >>> -- this _sounds_ like the right solution, but I don't
On Mon, 6 May 2019 11:12:25 +0200 Ralf Stubner wrote:
> On 04.05.19 19:04, Stephen Berman wrote:
>> In versions of R prior to 3.6.0 the following invocation succeeds,
>> returning the data frame shown:
>>
>>> read.table("https://www.dwds.de/r/stat?corpus=kern&cnt=tokens&date=decade&format=text";,
Optim's Nelder-Mead works correctly for this example.
> optim(par=10, fn=fn, method="Nelder-Mead")
x=10, ret=100.02 (memory)
x=11, ret=121 (calculate)
x=9, ret=81 (calculate)
x=8, ret=64 (calculate)
x=6, ret=36 (calculate)
x=4, ret=16 (calculate)
x=0, ret=0 (calculate)
x=-4, ret=16 (calculate)
x=
That's consistent/not surprising if the problem lies in the numerical
gradient calculation step ...
On 2019-05-06 10:06 a.m., Ravi Varadhan wrote:
> Optim's Nelder-Mead works correctly for this example.
>
>
>> optim(par=10, fn=fn, method="Nelder-Mead")
> x=10, ret=100.02 (memory)
> x=11, ret
It seems that it's an old bug that was found in some other packages, but
at that time not optim:
https://bugs.r-project.org/bugzilla/show_bug.cgi?id=15958
and that Duncan Murdoch posted a patch already last Friday :)
Thomas
Am 06.05.2019 um 16:40 schrieb Ben Bolker:
That's consistent/not
On 06/05/2019 18:21, Thomas Petzoldt wrote:
It seems that it's an old bug that was found in some other packages,
but at that time not optim:
https://bugs.r-project.org/bugzilla/show_bug.cgi?id=15958
I think that the bug description is a little bit misleading. The bug is
not in fact that "<<-"
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