[R] Advice on use of R for Generalised Linear Modelling

[Bert Gunter]

1. For RevolutionR capabilities, contact them (mailing lists, website, etc.)

2. CRAN has a whole section on GUI's. You should consult it:
 http://www.sciviews.org/_rgui/

3. Your GUI query would be more appropriate on the R-sig-gui list.

Cheers,
Bert

On Sun, Aug 11, 2013 at 4:47 AM, Alan Sausse <alansausse at gmail.com> wrote:
> Hi,
>
> Not an expert R user, something of a novice - please be gentle with me!
>
> I have a particular interest in generalised linear models (GLMs) and I'm
> experienced in fitting them using other bits of software.
>
> R can fit GLMs of course, using the glm() command.  I have some large
> multivariate data sets I'd like to fit GLMs to, ideally using R.  Two
> concerns though:
>
> Firstly, I'm told that R isn't especially fast at fitting GLMs, especially
> if the data files are too large to fit into RAM.  Can anyone advise if
> there are alternatives to glm() around which might cope better.  For
> example, I've heard that RevolutionR is available, and claims to fit GLMs
> faster in these cases.  Might it be possible, alternatively, to write some
> very quick code using C (for example) and to get R to invoke this instead?
>  Has anyone tried to do this?
>
> Secondly, I might like to create some kind of GUI so that I can have a nice
> interface for viewing data, specifying models, showing graphical model
> outputs, etc.  Is there a preferred way to do this?  The only GUI builder I
> know of is Shiny - http://www.rstudio.com/shiny/ - is this a good way to
> go?  What alternatives might I consider?
>
> My IT/coding skills are limited.  I'm hoping at some point to find an R
> expert to collaborate with, but in the mean time, a few pointers would be
> appreciated.
>
> Thanks!
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm