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

[Alan Feuerbacher]

On 1/29/2019 8:11 AM, Gabor Grothendieck wrote:
> 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.

That sounds very interesting! Please see my reply to Jeff Newmiller. Not 
being a mathematician, I have no clue how to go about this but would be 
very interested to learn.

> - 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.

Given my response to Jeff Newmiller, do your comments still apply?

Alan


> 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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>>
>>
>>
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> 
> 
>