I have the following question:
In a function (say name.function) a dataframe, called
data, is an argument of that function. So the call is
name.function(data).
"data" is a dataframe with possible a number of colums that are
categorical variabels. Since in name.function I want to use a
regression the dataframe "data" has to be enlarged with dummy
variables for the categorical variabels. The way I thougth this would
work is to use the function model.matrix.
So suppose the column data[,2] is categorical. Then with
model.matrix(~data[,2]-1)
one can create dummy variables (without intercept) for the
categorical variable. If I try this out on the commandline it works.
But when I use this command in the function name.function there
appears an error:
Error in [: N dim attribute for array subset : list( ..
Can anyone tell me what goes wrong and way? And besides that what is
the right way to handle this thing?
Thanks in advance,
Karin Oudshoorn
ps. I do not want to use the function lm() that creates itself the
dummies since I really need the dataframe data with the dummy's as
extra columns
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Karin Oudshoorn
TNO Preventie en Gezondheid
tel: 071- 5181756
mailto: K.Oudshoorn@pg.tno.nl
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