R help - May 2010 - How to Use NeuralNet method for classification problem?

Dear R Users,

I want to use the NeuralNet package to build a classification model.
Response variable in my data is either "NS" or "S"
(Dichotomous). I am not
able to find a way to specify response variable as categorical in NeuralNet.

I have changed the "NS" and "S" to 1 and 0 and supplied to
Nueralnet. It is
producing the result. However, the predicted response is a continuous
variable between 0 and 1 (For example 0.922654 or 0.00123). Is this
prediction value a probability of that record to fall into class 1? Can I
use a cut off of 0.5 to allocate the particular record as class 1 or 0 as I
do in logistic regression model?

I would like to know if there is a way to specify the response as
categorical variable and directly obtain the output as "NS" or
"S".
I appreciate any help in this regard.

-- 
Nikunj

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