There is also some inconsistency.
Even though sqrt(-1) returns the warning/error about NaNs in German
after setting the language to Spanish, if you give the command
> messages()
it will respond in Spanish.
On Mon, Jun 26, 2023 at 4:39 PM Dirk Eddelbuettel wrote:
>
>
> Ben,
>
> POSIX level / gli
Thank you, Marc, for this detailed reply.
De : Marc Schwartz
Envoyé : mercredi 15 février 2023 16:55
À : Eric Bernard ; r-devel@r-project.org
Objet : [EXT] Re: [Rd] End of Support Date of Version 3 of “R”
Attention Expéditeur externe Ne cliquez sur aucun lien et n’ouvrez aucune pièce
jointe à
Hello !
Good day.
I�d like to know what is the End of Support Date of Version 3 of �R�.
Thanks for your answer.
Have a good day.
Best Regards
Eric Bernard
DCTI/BS/EC
Cordialement.
Eric Bernard
Michelin
DCTI/BS/EC
[[alternative HTML version deleted
A different route to get the "latest and greatest version of R" while
sticking with an older distribution of an OS would be via docker.
At work, our linux servers run Ubuntu 18.04 on which I run an Ubuntu 20.04
docker image with (close to) the latest version of R (4.2.2) for a shiny
app I supply a
I need a version of R that has no dependency on GDI32.dll. Ideally, this
would be a version of R that had no dependency on rgraphapp.dll.
Is there a way to configure the build system to build a version of R like
this? I've looked through the ./configure --help for seemingly appropriate
flags, and
), keyword is
_set additional_ preprocessor options and//or compiler flags
only way to _remove_ is to overwrite
back to logic.
either Makevars, whatever level, allow to overwrite CC definition
either Makevars, whatever level, disable CC redefinition
but not a mix
Eric
___
Le 27/09/16 à 16:30, Dirk Eddelbuettel a écrit :
On 27 September 2016 at 15:23, Eric Deveaud wrote:
| so why ~/R/Makevars allows to change CC and not src/Makevars ?
|
| this is pretty confusing.
It seems weird at first, but makes some sense when you think about it like
this:
-- src/Makevars
Le 27/09/16 à 13:31, Dirk Eddelbuettel a écrit :
On 27 September 2016 at 09:37, Eric Deveaud wrote:
| Hello,
|
| I'm tring to install a Rpackage that holds some C//C++ code
|
| as far as I understood the R library generic compilation mechanism,
| compilation of C//C++ sources is cont
ious version of R from R/2.15 to
R/3.3
best regards
Eric
__
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
take me off here
On Mon, Sep 23, 2013 at 10:31 PM, Gabriel Becker wrote:
> Paul,
>
> Thanks for the response.
>
>
> On Mon, Sep 23, 2013 at 7:43 PM, Paul Murrell >wrote:
>
> >
> > par(bg="white")
> >
> > plot(1:10)
> > recplot = recordPlot()
> > png("bgreplay.png")
> > replayPlot(recplot)
> >
take me off here
On Mon, Sep 23, 2013 at 4:44 PM, Marc Schwartz wrote:
> Spencer,
>
> FYI. I just noted in your post below the error message from WriteXLS
> regarding TEXT::CSV_XS missing.
>
> Please note that in version >=3.0 of WriteXLS (current is 3.2.1), that is
> no longer required and has
I've been trying desperately to unsubscribe from this. Not that I don't
like R; but I only wanted help and then ended up on this email list. I've
put in more than one request to unsubscribe.
On Thu, Sep 19, 2013 at 7:31 PM, Patrick Welche wrote:
> On Fri, Sep 20, 2013 at 12:51:52AM +0200, rom..
I've been using strata(sampling) and found that if the dataframe to be
sampled ("data") consists of repeated measures that are not sorted in
order the run will fail on a given stratum. Ordering the dataframe
prior to using strata() eliminates this problem.
Thanks,
Eric
--
I am trying to build a C application where I need to compute some
statistics to take decisions about the direction to give to a user,
knowing his/her habits. Because I used R back at school, I thought I can
use some of his functions in my application, as a shared library. I
reviewed the "Rinte
:
> x <- 70
> x == 70
[1] TRUE
> x <- x*0
> x <- 70
> x == 70
[1] TRUE
> x<-x*0.01
> x
[1] 0.7
> x == 0.7
[1] FALSE
It seems completely strange ... any help would be greatly appreciated :)
Regards,
Eric Durand
__
R
foo1, as well as those foo3 arguments.
Only problem/point of detail is case where foo2 and foo3 do share
arguments and you would like to distinguish.
Then use (5)
foo1 <- function(x,foo2Args=list(radius=2), foo3Args=list(size), ...){
do.call("foo2",foo2Args)
# or do.call("foo
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