Re: st: RE: Stata and R

[David Airey <david.airey@Vanderbilt.Edu>]

.

I think you are right. In trying out various R code examples that make  
use of Design's nomogram() function (even in the help file for this  
command), there seems to be difficulty in actually making the graph  
look good. There are problems in relative size of the scales in terms  
of readability, problems in size of variable labels, problems in the  
size of the optimal graphics device aspect ratio, etc. That said, when  
the graph looks good, it is an outstanding graphic device for  
presenting a fitted model to a non-statistician. But, as you say, it  
is not an easy program to knock off, and it is questionable how useful  
it really is. Cool, but enough so to replace or complement estout?


On May 16, 2008, at 1:01 PM, Nick Cox wrote:


> A first impression is that it is very possible as a Stata program, but
> quite tricky to do well and with some generality. That reduces the
> chance that some programmer would knock it off as a Sudoku-like  
> puzzle.
> You would have to want to be able to use it, very much. I would be
> pleased to be shown wrong on that first impression.
>
> Nick
> n.j.cox@durham.ac.uk
>
> David Airey
>
> I followed this link too, and while it is a nomogram (Fagan's
> nomogram) it is not what I'm after. Nomogram() in R is more general
> and follows any GLM. See the example picture in the first link I gave.
>
> -Dave
>
> On May 15, 2008, at 4:11 PM, Nick Cox wrote:
>
>
> > -findit nomogram- points to Ben Dwamena's -midas-.
> >
> > Nick
> > n.j.cox@durham.ac.uk
> >
> > David Airey
> >
> > Just about every other week I drop into our R clinic for a coffee
> > break to listen to people's questions and maybe ask one myself. The
> > clinic is about general use questions, not especially about
> > Bioconductor packages, which is one reason to use R. The clinic is  
> > run
> > by a very capable R expert. Originally I started going to the clinic
> > thinking to myself that well, maybe this would be the last version of
> > Stata I would buy, because R has come miles in development and
> > documentation. More often than not, however, I conclude the opposite,
> > and continue to regularly use Stata, thinking there is value is good
> > commercial products.
> >
> > One interesting function in R that I can't find in Stata is Frank
> > Harrell's nomogram function in the Design package, which essentially
> > is a graphical alternative to outreg or estout.
> >
> > http://lib.stat.cmu.edu/S/Harrell/help/Design/html/nomogram.html
> http://www.stat.columbia.edu/~cook/movabletype/archives/2006/05/nomogram
> > s.html
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