[R] My remark on libraries

Eric Lecoutre lecoutre at stat.ucl.ac.be
Fri Feb 7 14:27:03 CET 2003

Hi R community,

These days, I am writing some functions to work with 2-ways frequency 
tables ; you know all this tuff about measures of association: Chisq and 
derived (phi, cramer's v), tau b, tau c, somer's d and so on.

So I consider all those functions could be gathered in a single R file, as 
they are coherent and dealing with the same problem / objective (analysis 
of crosstables). Nervertheless, I wouldn't say there is here enough stuff 
to juystify the creation of a library. First, there is here few material, 
second it is not enough to cover the practical problem; which should be the 
goal of a library.

In fact, I have also lot of others splitted files with R code suitable for 
different purposes. And I could easily imagine I am not the only one among 
R programmers... And at the end, this is pity that I can't share this code 
(and BTW that I can't benefit of other's one!)

I though the solution was to deliver my own (eric)misc library, you know... 
But then we would rapidly be overcome by all miscmisc from world, and it 
would be difficult to find specific functions with all that libraries.

To me, a possible solution would be to have a page on CRAN listing such R 
files. Then, everyone would be able to upload R files with a short comment 
(what does the functions do). I am thinking about something less "strict" 
than libraries: for that, no reason to test the code (programmer's 
responsability). Then, maybe sometimes there would be enough pieces of code 
on a statistical subject to justify the creation of a library (still with 
the mind: a library is a collection of tools designed to help on a precise 

While I'm at it, it would also be nice to have a shared page on 
screenshots/graphics. For sure, I really enjoy to use R to produce 
wonderfull graphics. Not only would it be nice sometimes to show them, but 
it would also be the occasion to demonstrate R possibilities for newcomers 
(think on color graphics including mathematics). R would never have enough 



Eric Lecoutre           Informaticien/Statisticien
Institut de Statistique                        UCL

                               (+32) (0)10 47 30 50
                            lecoutre at stat.ucl.ac.be
Le vrai danger, ce n'est pas quand les ordinateurs
penseront comme des hommes, c'est quand les hommes
penseront comme des ordinateurs.     Sydney Harris

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