[R] Classification Analysis

ozric@web.de ozric at web.de
Wed Apr 17 20:22:52 CEST 2002

yes your "PseudoCode" idea is what i want in R,too.
But even i mentioned , i didn't know of something like that in R/S-plus and i have got open eyes for this.

Perhaps anybody in the whole R community work on machineLearning-algorithm 
with rule generating,too ???

So you must program a function for yourself (i.e. C4.5 or FS-ID3) !?

(If you are interesting for papers (pdf) with algorithm let me know).

Am 17.04.2002 15:13:47, schrieb "Rishabh Gupta" <rg117 at ohm.york.ac.uk>:
>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
>----- 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
>> 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
>> lot of other possibilities; you might want to have a look at Ripley,
>> 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
>> 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
>> 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
>> 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
>> 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.
>> is the best package/function that would enable me to perform
>> analysis.
>> Any help would be greatly appreciated.
>> Many Thanks For Your Help!
>> Rishabh
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