Recodes a dataset with nominal variables so that the nominal variables are replaced by binary variables for the categories.

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`x` |
data matrix or data frame. The data need to be organised case-wise, i.e., if there are categorical variables only, and 15 cases with values c(1,1,2) on the 3 variables, the data matrix needs 15 rows with values 1 1 2. (Categorical variables could take numbers or strings or anything that can be coerced to factor levels as values.) |

`categorical` |
vector of numbers of variables to be recoded. |

A list with components

`data` |
data matrix with variables specified in |

`variableinfo` |
list of lists. One list for every variable in the
original dataset, with four components each, namely |

Christian Hennig c.hennig@ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche

`discrete.recode`

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