Hi Avraham,
A quick question - I realized I did not have *Perl* installed. So I
installed *ActiveState Perl* right now. Also I see I need *texinfo* and
*texi2any*. I was able to installed *texinfo* from here:
http://gnuwin32.sourceforge.net/packages/texinfo.htm. But not sure where to
get *texi2any
Hi Avraham,
What a coincidence, I have been following this post of yours:
https://www.avrahamadler.com/2013/10/24/an-openblas-based-rblas-for-windows-64-step-by-step/
Looks like this post is slightly older than what you have shared
previously. It is strange that you did not get the attachments. I
On Thu, Feb 8, 2018 at 9:44 PM, Indrajit Sen Gupta wrote:
> Hi All,
>
> I am trying to compile R from source on a 64 bit Windows.
[snip]
> I had compiled earlier with MinGW and had created the file:
> *libopenblas_haswell-r0.2.20.a. *
Hello, Indrajit.
I don't see your MkRules.local attached. I
Hi All,
I am trying to compile R from source on a 64 bit Windows. I have downloaded
and installed all the third party software as per the R - documentation.
The compilation starts fine and after a while it stops with the following
error message:
D:/Rtools/mingw_64/bin/../lib/gcc/x86_64-w64-mingw3
Good day,
The intention is to convert the dataset into a format suitable for the random
forest classifier implemented by the CRAN package xgboost. The input data is
required to be transformed into one-hot format using the sparse.discrim.matrix
function, as specified by the package's vignette of
Thanks, this has been already reported as bug 17358. Addressed in
R-devel 74238. R may still create a corrupt file, though, in other
circumstances (e.g. if it runs out of memory or is interrupted during
serialization, etc).
Tomas
On 02/07/2018 04:14 PM, Kenny Bell wrote:
I ran into this beha
Unfortunately, junctions cannot link to a network drive, they only can
link directories on the same computer (possibly on different local
volumes). This is a limitation imposed by Windows. I have updated the
documentation for Sys.junction in R-devel accordingly.
Tomas
On 02/06/2018 10:50 PM
color and clarity are ordered factors, so sparse.model.matrix is
generating orthogonal-polynomial contrasts (see ?contr.poly). This is
by design ... what are you trying to do? Are you interested in fac2sparse?
On 18-02-07 11:00 PM, Dario Strbenac wrote:
> Good day,
>
> Sometimes, sparse.mo
