Here you will find daily news and tutorials about R, contributed by over 750 bloggers.
There are many ways to follow us - By e-mail:On Facebook: If you are an R blogger yourself you are invited to add your own R content feed to this site (Non-English R bloggers should add themselves- here)

(This article was first published on is.R(), and kindly contributed to R-bloggers)

A long title, but there are a couple of handy things in this Gist. The first, and more obscure, is the conversion of a data.frame of categorical variables into a matrix of dummy/binary/indicator variables, one for each category of each original variable.

It is non-obvious (to me, at least) how to best do this, so the solution comes from “Gavin Simpson” and “fabians” at Stack Overflow.

The second part of this Gist shows how to construct a table of log odds ratios between each of these indicator variables, which may be a first step in the estimation of something like (but not exactly the same as) multiple correspondence analysis.