I'm not quite sure what you're asking. RF predicts by classifying the
new observation using all trees in the forest, and take plural vote.
The predict() method for randomForest objects does that for you. The
getTree() function shows you what each individual tree is like (not
visually, just the underlying representation of the tree).
Andy
________________________________
From: Chrysanthi A. [mailto:chrys...@gmail.com]
Sent: Wednesday, April 08, 2009 2:56 PM
To: Liaw, Andy
Cc: r-help@r-project.org
Subject: Re: [R] help with random forest package
Many thanks for the reply.
So, extracting the votes, how can we clarify the classification
result? If I want to predict in which class will be included an unknown
sample, what is the rule that will give me that?
Thanks a lot,
Chrysanthi.
2009/4/8 Liaw, Andy <andy_l...@merck.com>
The source code of the whole package is available on
CRAN. All packages
are submitted to CRAN is source form.
There's no "rule" per se that gives the final
prediction, as the final
prediction is the result of plural vote by all trees in
the forest.
You may want to look at the varUsed() and getTree()
functions.
Andy
From: Chrysanthi A.
> Hello,
>
> I am a phd student in Bioinformatics and I am using
the Random Forest
> package in order to classify my data, but I have some
questions.
> Is there a function in order to visualize the trees,
so as to
> get the rules?
> Also, could you please provide me with the code of
> "randomForest" function,
> as I would like to see how it works. I was wondering
if I can get the
> classification having the most votes over all the
trees in
> the forest (the
> final rules that will give me the final
classification).
> Also, is there a
> possibility to get a vector with the attributes that
are
> being selected for
> each node during the construction of each tree? I
mean, that
> I would like to
> know the m<<M variables that are selected at each node
out of
> the M input
> attributes.. Are they selected randomly? Is there a
> possibility to select
> the same variable in subsequent nodes?
>
> Thanks a lot,
>
> Chrysanthi.
>
> [[alternative HTML version deleted]]
>
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