[R] Newbie Question on R versus Matlab/Octave versus C

[Gabor Grothendieck]

Two additional comments:

- depending on the nature of your problem you may be able to get an
analytic solution using branching processes. I found this approach
successful when I once had to model stem cell growth.

- in addition to NetLogo another alternative to R would be the Julia
language which is motivated to some degree by Octave but is actually
quite different and is particularly suitable in terms of performance
for iterative computations where one iteration depends on the prior
one.

On Mon, Jan 28, 2019 at 6:32 PM Gabor Grothendieck
<ggrothendieck using gmail.com> wrote:
>
> R has many similarities to Octave.  Have a look at:
>
> https://cran.r-project.org/doc/contrib/R-and-octave.txt
> https://CRAN.R-project.org/package=matconv
>
> On Mon, Jan 28, 2019 at 4:58 PM Alan Feuerbacher <alanf00 using comcast.net> wrote:
> >
> > Hi,
> >
> > I recently learned of the existence of R through a physicist friend who
> > uses it in his research. I've used Octave for a decade, and C for 35
> > years, but would like to learn R. These all have advantages and
> > disadvantages for certain tasks, but as I'm new to R I hardly know how
> > to evaluate them. Any suggestions?
> >
> > Thanks!
> >
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-- 
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
tel: 1-877-GKX-GROUP
email: ggrothendieck at gmail.com