R help - Sep 2015 - Model after random forest

Hi there, 

I?m using random Forest package to create a random Forest:

model<-randomForest(A~.,data=mydata)

, and I use the varImpPlot(model) to see which are the most important
variables, so I obtain that C, D and F are the most important ones, but...

How can I see the model, in which levels I must set up this variables C, D
and F?

Thanks  for all



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Guided Tours Basque Country 

Guided tours in the three capitals of the Basque Country: Bilbao,
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languages.

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Country.
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Is using a tree model a good idea?

Thanks




-----

Guided Tours Basque Country 

Guided tours in the three capitals of the Basque Country: Bilbao,
Vitoria-Gasteiz and San Sebastian, as well as in their provinces. Available
languages.

Travel planners for groups and design of tourist routes across the Basque
Country.
--
View this message in context:
http://r.789695.n4.nabble.com/Model-after-random-forest-tp4712189p4712210.html
Sent from the R help mailing list archive at Nabble.com.