The several R packages available for epidemiology are pretty handy:
epitools http://cran.r-project.org/web/packages/epitools/index.html epicalc http://cran.r-project.org/doc/contrib/Epicalc_Book.pdf epi
--Chris Ryan
epidata-list@lists.umanitoba.ca wrote:
. . .
. . . That's fine for analysis, and there are many analyses, especially modelling, that I would do in R by preference. However, I would never try to produce a food-specific attack rate table or even attempt to manage outbreak data in R.
I am also intrigued by the possibilities, as Pedro points out, once EpiData source is released and a means of plugging in other functions is available. That way, it should be relatively easy to have R do some difficult things in the background while the user can take advantage of the EpiData interface.
Jamie
On 2010-09-23, Pedro wrote: