readmeraf2.txt

Canonical Discriminant Analysis Created by A. Trujillo-Ortiz, R. Hernandez-Walls and S. Perez-Osuna

RAFISHER2CDA Canonical Discriminant Analysis. While RAFisher1 is a procedure
that produces very different functions for classification that are also called
linear discriminant analysis, RAFisher2cda is a dimension-reduction technique
related to principal component analysis and canonical correlation called 
anonical discriminant analysis. It derives the canonical coefficients parallels
that of one-way MANOVA and it finds linear combinations of the quantitative
variables that provide maximal separation between the classes or groups in much
the same way that principal components summarize total variation. The output
produced are the canonical coefficients and the scored canonical variables. The
canonical coefficients are rotated.

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Created by A. Trujillo-Ortiz, R. Hernandez-Walls and S. Perez-Osuna
           Facultad de Ciencias Marinas
           Universidad Autonoma de Baja California
           Apdo. Postal 453
           Ensenada, Baja California
           Mexico.
           [e-mail]

Copyright (C) April 15, 2004.

To cite this file, this would be an appropriate format:

Trujillo-Ortiz, A., R. Hernandez-Walls and S. Perez-Osuna. (2004). 
   RAFisher2cda:Canonical Discriminant Analysis. A MATLAB file. 
   [WWW document]. URL http://www.mathworks.com/matlabcentral/fileexchange/
   loadFile.do?objectId=4836&objectType=FILE
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Congratulations on deciding to use this MATLAB macro file.  
This program has been developed to help you quickly to work with
the discriminant analysis.
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This zip file is free; you can redistribute it and/or modify at your option.
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This zip file contains....
	List of files you should need

RAFisher2cda.m         Discriminant Analysis.
isisdata.mat           Iris data file.
READMEraf2.TXT
fisher.jpg             A magnificient picture showing R.A. Fisher working
                       on its famous mechanical desk calculator called by him
                       'the millionaire' at Whittingehame Lodge in 1952. This
                       picture also appears as the frontispiece of the biography
                       by  his  daughter  Joan Fisher Box ['R.A. Fisher: The Life
                       of a Scientist' [1978, John Wiley & Sons, New York]. A  
                       photograph  by A. Barrington-Brown and courtesy of the 
                       R.A. Fisher Memorial Trust.
RAFisherCP138          pdf collected paper 138 'The Use of Multiple Measurements
                       in Taxonomic Problems', Annals of Eugenics, 7:179-188 (1936).
                       Reproduced on Internet by The University of Adelaide
                       (Library) with permission of Cambridge University Press.
                       You can find online a pdf collected papers of R.A. Fisher 
                       from Volume 1 edited by J.H. Bennett (Univ. of Adelaide, 
                       1971-1974). The URL address is:

                       http://www.library.adelaide.edu.au/digitised/fisher
iris_setosa.jpg        An Iris setosa plant species image.
iris_virginica.jpg     An Iris virginica plant species image.
iris_versicolor.jpg    An Iris versicolor plant species image.
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Usage

1. It is necessary you have defined on Matlab the X - data matrix. Size of
matrix (X) must be n-by-p; n=observations, p-independent variables=columns. 

2. For running this file it is necessary to call the rafisher function as 
rafisher2cda(X,pp,c,alpha). Please see the help rafisher.

3. Once you input the arguments, it will appears your results. 
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I claim no responsibility for the results that are obtained 
from your data using this file.
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Copyright. 2004