Naw, the issue is just that R is messy. Actually, for this particular case,
I was chuckling a bit since it isn't wrong how R did it, it is just the way
R does it. C++ is exactly the same. Unfortunately, the answer that I will
give for this thread is that the OP should really just learn R or figure
On Jan 25, 2015, at 2:56 PM, Benedict Holland
wrote:
> On Sun, Jan 25, 2015 at 4:38 PM, Francesco Menoncin
> wrote:
> Hello Benedict,
> thank you for your answer.
> I give you an example about how R is difficult for dealing with matrices: if
> in Matlab (or Scilab or Octave or simila) I writ
So then the problem isn't with inefficient matrix computations but with the
language itself. On that I can wholehearted agree. I would say though, IMHO
Matlab isn't much better, and in fact can be much much worse. I tend to try
to avoid R but it is a very powerful language once you get the basics.
R is not so easy to use for big matrix computations? This is a first for
me. R is extremely efficient at dealing with matrices. If you have huge
matrices, I don't think it would perform much better than anything else. If
you need sparse matrix functionality, R comes with it built in. Python is
actu
There is a package on CTAN called pythontex that allows you to run python from
within a document. I know LyX heavily relies on Python as well and I think I
have seen mention of people using python code in their documents. I used to
use Matlab for data processing but have completely switched ov
