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Classification Analysis

2 messages · Huntsinger, Reid, Rishabh Gupta

Original
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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Rishabh Gupta
# 
Thanks for your reply.
I am still learning these aspects of statistical analysis, so if I don't
make sense please forgive me.
All this work I am doing is part of a Phd and my deparment does not really
neural network for situations like these because they say it acts like a
black box and we don't really know what is happening in the inside. So I
would like to concentrate on using pure statistical techniques. Ideally what
I would like is some kind of a function that calculates the "classification
rule" when given a grouped data set :
    rule <- classification( GroupVar ~ DepVar1 + DepVar2 + DepVar3 + DepVar4
..... + ...... DepVarX )

Then I would be able to use that rule and apply to a single data element for
which the group is not known:

    theGroup <- rule( DataElement )

I have looked at the rpart package in R but I am not entirely sure how to
use in a way that I can create the "classification rule" and then use that
rule. I understand that it is a general problem but it's made more difficult
for me because I have to deal with 750 dependent variables.

Your help is greatly appreciated.

Many Thanks

Rishabh

----- Original Message -----
From: "Huntsinger, Reid" <reid_huntsinger at merck.com>
To: "'Rishabh Gupta'" <rg117 at ohm.york.ac.uk>; <r-help at stat.math.ethz.ch>
Sent: Tuesday, April 16, 2002 5:00 PM
Subject: RE: [R] Classification Analysis
statistics/computer
are
Pattern
form
set
order
MIDI
What
classification
-.
http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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information of Merck & Co., Inc. (Whitehouse Station, New Jersey, USA) that
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it.
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