[R] Reading data for discriminant analysis
Prof Brian Ripley
ripley at stats.ox.ac.uk
Thu Mar 9 18:14:53 CET 2000
> Date: Thu, 9 Mar 2000 08:52:40 -0800
> From: Clayton Springer <csprin at brandybuck.ca.sandia.gov>
> To: Peter Dalgaard BSA <p.dalgaard at biostat.ku.dk>, r-help at stat.math.ethz.ch
> > > I believe that the iris3 is rather special data format.
> > > But I am unable to get a text file to become something like iris3.
> > > I would like to be able to formulate my data into a useable format.
> > > What is the proper procedure to create iris3 from external sources.
> > library(MASS)
> > data(iris3)
> > (You need to install the VR bundle from CRAN first)
> I have already done this. (I have successfully worked through the example.)
> What I would like to do is use myown data and work through a similar exercise.
Then look at the other examples (in MASS3), such as
fgl.lda <- lda(type ~ ., fgl)
fgl is a data frame, type is a factor.
dcrabs.lda <- lda(crabs$sex ~ FL + RW + CL + CW, lcrabs)
lcrabs is a data frame, crabs$sex is a factor.
The general form is factor ~ var1 + var2 + ... + varn
where vari had better be numerical variates. There are first looked for
in the data frame supplied as the data argument, if any.
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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