or any other
approach to help in the identification of the different levels in the
barchart?
Many thanks.
Rafael Duarte
OS: windows XP
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PLEASE do read the posting
,
Rafael Duarte
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Rafael Duarte
Marine Resources Department - DRM
IPIMAR - National Research Institute for Agriculture and Fisheries
Av. BrasÃlia, 1449-006 Lisbon - Portugal
Tel:+351 21 302 7000 Fax:+351 21 301 5948
e-mail: [EMAIL PROTECTED]
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R
in the xyplot call
(same as I did for one factor). Is it possible/simple to do?
Thank you,
Rafael
Gabor Grothendieck wrote:
Try this:
levels(df$fact2) - c(faro,porto,lisbon,setubal)
xyplot( value ~ year | fact1*fact2, data=df, type=b)
On 9/22/06, Rafael Duarte [EMAIL PROTECTED] wrote:
Dear
)))
head(df) # unchanged
or even (untested)
xyplot(value ~ year | fact1 * factor(fact2, levels = levels(fact2),
labels = levs),
data = df)
Deepayan
On 9/23/06, Rafael Duarte [EMAIL PROTECTED] wrote:
Thank you for your suggestion.
This could be a solution that I didn't
It seems that you have already groups defined.
Discriminant analysis would probably be more appropriate for what you want.
Best regards,
Rafael Duarte
Anders Malmendal wrote:
I want to do hierarchical cluster analysis to compare 10 groups of
vectors with five vectors in each group (i.e. I
Ron Michael wrote:
--
Hi Rafael,
What about multivariate logistic regression?
- Forwarded Message
From: Rafael Duarte [EMAIL PROTECTED]
To: Anders Malmendal [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Sent: Tuesday, May 29, 2007 3:21:11 PM
Subject: Re: [R] hierarhical