# [R] Classification Analysis

Rishabh Gupta rg117 at ohm.york.ac.uk
Wed Apr 17 15:13:47 CEST 2002

```Thanks for your reply.
I am still learning these aspects of statistical analysis, so if I don't
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.

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

> 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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