> Duncan Murdoch
> on Tue, 18 Sep 2018 16:23:47 -0400 writes:
> On 18/09/2018 2:16 PM, Marcel Ramos wrote:
> > Dear R-devs,
> >
> >
> > Scenario:
> >
> > When checking a package via `R CMD check package_tar.ball`, required /
> > suggested packages may be missing. R subsequently re
The fix is now in R-devel, 75386. I have not ported to R-patched,
because the fix breaks two packages which are working around this bug
(and to my knowledge without having reported it before). So thanks again
for the report!
Best
Tomas
On 08/16/2018 10:06 AM, Tomas Kalibera wrote:
Dear Barba
Something that bit me:
The function relevel takes a factor, and a reference level to be promoted to
the first place.
If “ref” is a character this level is promoted, if it’s a numeric the “ref”-th
level is promoted.
Which turns out to be very confusing if you have factor with numeric values
(e.g.
In a word, no. It is behaving as documented and adding a warning would just
confuse others who have been using the feature as intended.
This belongs in the same bin as "as.integer(f) vs as.integer(as.character(f))"
and "x[f] vs. x[as.character(f)]"
-pd
> On 2 Oct 2018, at 17:18 , Emil Bode
I am now getting the occasional complaint about survival routines that are not
able to
handle big data. I looked in the manuals to try and update my understanding
of max
vector size, max matrix, max data set, etc; but it is either not there or I
missed it (the
latter more likely). Is it s
On Tue, Oct 2, 2018 at 9:43 AM Therneau, Terry M., Ph.D. via R-devel
wrote:
>
> I am now getting the occasional complaint about survival routines that are
> not able to
> handle big data. I looked in the manuals to try and update my understanding
> of max
> vector size, max matrix, max data se
Thanks! Please let us know when it is in the released version of R.
Barbara
Tomas Kalibera wrote on 10/2/18 6:37 AM:
> The fix is now in R-devel, 75386. I have not ported to R-patched,
> because the fix breaks two packages which are working around this bug
> (and to my knowledge without having
Does this help a little?
https://cran.r-project.org/doc/manuals/r-release/R-ints.html#Long-vectors
One thing I seem to remember but cannot find a reference for is that
long vectors can only be passed to .Call calls, not C/Fortran. I
remember rewriting .C() in my WGCNA package to .Call for this ve
Hello,
I am looking for a prebuild - binary MS Windows version of the R grpc package
https://github.com/nfultz/grpc
best regards
Witek
--
Witold Eryk Wolski
__
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
Hello,
Do you really need a prebuild binary? Wouldn't this do it?
devtools::install_github("nfultz/grpc")
Hope this helps,
Rui Barradas
Às 20:14 de 02/10/2018, Witold E Wolski escreveu:
Hello,
I am looking for a prebuild - binary MS Windows version of the R grpc package
https://github.com/
:) Did you missed the "MS-Windows" in my e-mail?
On Tue, 2 Oct 2018 at 21:28, Rui Barradas wrote:
>
> Hello,
>
> Do you really need a prebuild binary? Wouldn't this do it?
>
> devtools::install_github("nfultz/grpc")
>
>
> Hope this helps,
>
> Rui Barradas
>
> Às 20:14 de 02/10/2018, Witold E Wol
Sorry for bothering you
I am trying to build the R grpc package on windows:
https://github.com/nfultz/grpc
against an MSYS2 build of grpc.
when running devtools::install() I am getting the following error:
C:/msys64/mingw64/include/grpc/impl/codegen/port_platform.h:47:2:
error: #error "Please c
`grDevices::convertColor` performance can be improved by 30-300x with
small changes to the code. `colorRamp(space='Lab')` uses `convertColor`
so it too benefits from substantial performance gains.
`convertColor` vectorizes explicitly over the rows of the input color
matrix using `apply`. The
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