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Hi Rafael, What about multivariate logistic regression? ----- Forwarded Message ---- From: Rafael Duarte <rduarte@ipimar.pt> To: Anders Malmendal <anders@chem.au.dk> Cc: r-help@stat.math.ethz.ch Sent: Tuesday, May 29, 2007 3:21:11 PM Subject: Re: [R] hierarhical cluster analysis of groups of vectors It seems that you have already groups defined. Discriminant analysis would probably be more appropria...

Hi all, I need to calculate a multidimensional integration on R. I am using the command "adapt" (from library adapt), although sometimes I get the following error message: Ifail=2, lenwrk was too small. -- fix adapt() ! Check the returned relerr! in: adapt(3, linf, lsup, functn = Integrando1) I guess it happens because the domain of integration is too small, although I tried a

Hi all, I found a problem on R that looks like a bug to me. I am working with R for windows verson 1.9.0, but the problem also happens on the linux version 1.9.0. I hope that the problem is on my reasoning, and I would be grateful if someone could explain me why this happens. There goes the example: > x<-seq(-2,2,0.001) > y<-rep(0,length(x)) > for (i in x){y[1000*i+2001]<-i^2}

I would like to create an xyplot with varying y-axis limits and horizontal labels at the y-axis tickmarks. The following does not seem to work, although I think it should, going by the documentation for par. R version 2.5.1, Windows XP Prof. Thanks for a clue. Andreas Krause library(lattice) # axis labels for y-axis are horizontal xyplot(Sepal.Length ~ Sepal.Width | Species, data=iris) #

I want to do hierarchical cluster analysis to compare 10 groups of vectors with five vectors in each group (i.e. I want to make a dendogram showing the clustering of the different groups). I've looked into using dist and hclust, but cannot see how to compare the different groups instead of the individual vectors. I am thankful for any help. Anders

Dear list, I am new to lattice plots. I want to make a barchart with 10 and more levels. I need to use a grey scale for printing purposes. The problem is that with 10 or more levels in factors it is very difficult to distinguish each level in the plot and legend, since the greys are very similar (some levels have value of zero and don't appear). Here is an example of my problem: df <-

Greetings. I am trying to use ISI RSVP to make some layer3 reservations. My problem is that RSVP refuses to configure the queues with an "RNETLINK answers: invalid argument" error. Even if I try to setup the filter with tc command, I get the same error. I already tried to load all the modules necessary, rsvp and rsvp6 included, but I still got the same error. Can someone help me? Is the

Greetings. I''m having some trouble deleting an rsvp6 filter that I create using the following command: #tc filter add dev eth1 parent 1: protocol ip rsvp6 ipproto tcp session 2020::1/22 sender 2020::2/22 flowid 1:11 The filter is created sucessfully: # tc filter list dev eth1 filter parent 1: protocol ip pref 49152 rsvp6 filter parent 1: protocol ip pref 49152 rsvp6 fh 0x00010207 flowid