[R] Classification Analysis

[Huntsinger, Reid]

This is a very general problem and a very large area of statistics/computer
science/etc is concerned with it. R provides lots of possibilities; you
might find tree-based approaches (recursive partitioning) to suit your
needs; in that case, rpart and the new random forests package will be of
interest. Also see package e1071 and the VR packages for starters. There are
lot of other possibilities; you might want to have a look at Ripley, Pattern
Recognition and Neural Networks, for example, to see some.

Reid Huntsinger

-----Original Message-----
From: Rishabh Gupta [mailto:rg117 at ohm.york.ac.uk]
Sent: Tuesday, April 16, 2002 11:14 AM
To: r-help at stat.math.ethz.ch
Subject: [R] Classification Analysis


Hi everyone,
    Could somebody explain to me what is the package/function for
classification analysis. I am performing analysis of music files in the form
of MIDI files. I end up with about 750 dependent variables from the
analysis, I also have a number of independent/grouping variables that I set
manually. What I would like is to be able to predict which group a
particular MIDI files belongs to given the 750 dependent variables. In order
to this I have to perform classification analysis on a sample set of MIDI
files where I know what group they belong to. I want to extract the
'classification rule' that would enable me to predict the group of each MIDI
file (there would be a different classification rule for each grouping
variable). Can anybody explain what is the best way of doing this in R. What
is the best package/function that would enable me to perform classification
analysis.

Any help would be greatly appreciated.

Many Thanks For Your Help!

Rishabh

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