If you go here:
https://cran.cnr.berkeley.edu/bin/windows/base
you see EXE installers for Windows. This contrasts with other programming
languages that offer both an executable installer and ZIP files that can be
extracted and run. For example Go:
https://golang.org/dl
and Nim:
https://nim-la
Thank you Martin for giving to know and developing 'Rmpfr' library for
unlimited size integers (GNU C GMP) and arbitrary precision floats (GNU C
MPFR):
https://cran.r-project.org/package=Rmpfr
My question is: In the long term (For R3.7.0 or R3.8.0):
Does it have sense that CMP substitutes INTSXP
Thanks for following up! In fact that's exactly what was done here:
https://github.com/Rdatatable/data.table/pull/3602/files
On Sun, Jun 2, 2019 at 8:00 PM Joshua Ulrich
wrote:
> I thought it would be good to summarize my thoughts, since I made a
> few hypotheses that turned out to be false.
>
On 02/06/2019 16:28, Koenker, Roger W wrote:
I’ve installed R 3.7.0 on a new laptop running macos 10.14.5 and have managed
to get most of my usual packages
I presume 'R 3.7.0' is R-devel: it is not released and may never be
released under that version.
to compile from source with a ~/.R/Ma
On 02/06/2019 11:28 a.m., Koenker, Roger W wrote:
I’ve installed R 3.7.0 on a new laptop running macos 10.14.5 and have managed
to get most of my usual packages
to compile from source with a ~/.R/Makevars file that looks like this:
CC=/usr/local/clang8/bin/clang
CXX=/usr/local/clang8/bin/clang+
I’ve installed R 3.7.0 on a new laptop running macos 10.14.5 and have managed
to get most of my usual packages
to compile from source with a ~/.R/Makevars file that looks like this:
CC=/usr/local/clang8/bin/clang
CXX=/usr/local/clang8/bin/clang++
LDFLAGS=-L/usr/local/clang8/lib
CPPFLAGS=-I/usr/
Terry
Let me call this things to think about, rather than advice. I went
through a similar process twice, once about 30 years ago and once about
20 years ago. I had fewer dependent packages of course, but still enough
to cause headaches. I don't recommend doing it often.
- I think you need t
I thought it would be good to summarize my thoughts, since I made a
few hypotheses that turned out to be false.
This isn't a bug in base R, in either rbind() or `[<-.Date`.
To summarize the root cause:
base::rbind.data.frame() calls `[<-` for each column of the
data.frame, and there is no `[<-.ID
