[R] RES: Customized LDA (MASS) object plot

[Rodrigo Aluizio]

Thanks for the enlightenment Prof. Ripley. I guess I've to start learning
quite more about panel function.
Once I'm pointed to the right way I'll probably be able to do what I want.
Sorry for the mistake, I totally misses the panel function possibilities.

Rodrigo.

-----Mensagem original-----
De: Prof Brian Ripley [mailto:ripley at stats.ox.ac.uk] 
Enviada em: domingo, 4 de janeiro de 2009 11:15
Para: Rodrigo Aluizio
Cc: R Help
Assunto: Re: [R] Customized LDA (MASS) object plot

Hmm: what do you want to do that a customized panel function cannot do?

plot.lda does not accept type="n" precisely because it does support a 
panel function to plot within the axes it has set up.  Your claim that 
'they don?t let me personalize them' is simply untrue.

If you want to see the source code, just type 'MASS:::plot.lda'.

Futhermore, MASS is support software for a book, and the book does have 
examples of customized LDA plots!


On Sun, 4 Jan 2009, Rodrigo Aluizio wrote:

> Hi R experts.
>
> I performed an Linear Discriminant Analysis (lda) and now I want to plot
the
> first two axes (LDA1 and LDA2). Well MASS package have the plot.lda and
> pairs.lda to do that. But, they don?t let me personalize them, once they
> don?t accept the type=?n? plot. So I start looking at the lda object
> properties, trying to found out my groups (n=4) axis coordinates,
curiously
> I couldn?t. There is only the variables axis coordinates and some analysis
> results. If I can reach this information, I?ll be able to create a
> customized graph using the normal plot(), points() and par().
>
> So the question is: How could I reach these axis coordinates inside my
> object (supposing they are there somewhere, once the plot.lda and
pairs.lda
> are able to plot them)?
>
>
>
> Thanks in advance.
>
> ___________________________________
> MSc.  <mailto:r.aluizio at gmail.com> Rodrigo Aluizio
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-- 
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)
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