[R] Matrix of dummy variables from a factor

[(Ted Harding)]

On 06-Dec-05 Berton Gunter wrote:
> But note: There are (almost?) no situations in R where the dummy
> variables coding is needed. The coding is (almost?) always handled
> properly by the modeling functions themselves.
> 
> Question: Can someone provide a "straightforward" example where the
> dummy variable coding **is** explicitly needed?

Perhaps not particularly straightforward, but if you are using
package 'mix' for multiple imputation where some variables are
categorical and some continuous, the functions

  ecm.mix

  dabipf.mix

both take a paremeter "design" which is a design matrix expressing
dependency of the continuous variables on the categoricals.

The R function 'model.matrix' is useful for obtaining this matrix.

Best wishes,
Ted.


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Date: 06-Dec-05                                       Time: 22:39:44
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