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

[Bert Gunter]

I would say your question is foolish -- you disagree no doubt! -- because
the point of using R (or Octave or C++) is to take advantage of the
packages (= "libraries" in some languages; a library is something different
in R) it (or they) offers to simplify your task. Many of R's libraries are
written in C (or Fortran) an thus **are** fast as well as having
task-appropriate functionality and UI's .

So I think instead of pursuing this discussion you would do well to search.
I find rseek.org to be especially good for this sort of thing. Searching
there on "demography" brought up what appeared to be many appropriate hits
-- including the "demography" package! -- which you could then examine to
see whether and to what extent they provide the functionality you seek.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Jan 28, 2019 at 4:00 PM Alan Feuerbacher <alanf00 using comcast.net>
wrote:

> On 1/28/2019 4:20 PM, Rolf Turner wrote:
> >
> > On 1/29/19 10:05 AM, Alan Feuerbacher 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?
> >
> > * C is fast, but with a syntax that is (to my mind) virtually
> >    incomprehensible.  (You probably think differently about this.)
>
> I've been doing it long enough that I have little problem with it,
> except for pointers. :-)
>
> > * In C, you essentially have to roll your own for all tasks; in R,
> >    practically anything (well ...) that you want to do has already
> >    been programmed up.  CRAN is a wonderful resource, and there's more
> >    on github.
>  >
> > * The syntax of R meshes beautifully with *my* thought patterns; YMMV.
> >
> > * Why not just bog in and try R out?  It's free, it's readily available,
> >    and there are a number of good online tutorials.
>
> I just installed R on my Linux Fedora system, so I'll do that.
>
> I wonder if you'd care to comment on my little project that prompted
> this? As part of another project, I wanted to model population growth
> starting from a handful of starting individuals. This is exponential in
> the long run, of course, but I wanted to see how a few basic parameters
> affected the outcome. Using Octave, I modeled a single person as a
> "cell", which in Octave has a good deal of overhead. The program
> basically looped over the entire population, and updated each person
> according to the parameters, which included random statistical
> variations. So when the total population reached, say 10,000, and an
> update time of 1 day, the program had to execute 10,000 x 365 update
> operations for each year of growth. For large populations, say 100,000,
> the program did not return even after 24 hours of run time.
>
> So I switched to C, and used its "struct" declaration and an array of
> structs to model the population. This allowed the program to complete in
> under a minute as opposed to 24 hours+. So in line with your comments, C
> is far more efficient than Octave.
>
> How do you think R would fare in this simulation?
>
> Alan
>
>
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