[mailto:r-help-bounces@r-
project.org] On Behalf Of Maria Judith Carmona H
Sent: Thursday, July 10, 2014 11:10 AM
To: David L Carlson
Cc: r-help@r-project.org; John Fox; Michael Friendly
Subject: Re: [R] Cansisc: Error in eigen(eHe, symmetric = TRUE)
Hello John, Michael and David,
I
Maria
The variables
Araceae,Begoniaceae,Bromeliaceae,Clusiaceae,Cyclanthaceae,Ericaceae,Gesneriaceae,
Melastomataceae,Orchidaceae,Piperaceae,Pteridophyta
are frequencies (abundances?) of which most are 0 and this is not
appropriate
as multivariate normal data.
There is probably a version of
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Michael Friendly
Sent: Thursday, July 10, 2014 3:22 AM
To: Maria Judith Carmona H
Cc: r-help@r-project.org; John Fox
Subject: Re: [R] Cansisc: Error in eigen(eHe, symmetric = TRUE)
Maria
Of Michael Friendly
Sent: Thursday, July 10, 2014 3:22 AM
To: Maria Judith Carmona H
Cc: r-help@r-project.org; John Fox
Subject: Re: [R] Cansisc: Error in eigen(eHe, symmetric = TRUE)
Maria
The variables
Araceae,Begoniaceae,Bromeliaceae,Clusiaceae,Cyclanthaceae,Ericaceae,Gesneriaceae
Hi,
I have a problem using the function Candisc from Candisc Package.
bosques1-read.csv(bosques1.csv,header=TRUE,encoding=latin1)
bosques1-na.exclude(bosques1)
attach(bosques1)
#Modelo de regresión
mod -
lm(cbind(biomasa,altdosel,altsoto,cobertura,riqarb,elevacion,temperatura,precipitacion,
Dear Maria Judith Carmona Higuita,
Since you didn't include enough information (such as your access to your data)
to reproduce the error, one can only guess. My guess: you have fewer
observations in your data set than response variables on the LHS of the
multivariate linear model.
I hope this
Dear Judith,
I take it from your reply that you have *more* observations than there are
response variables in the multivariate linear model, but since you still
haven't provided access to the data, it's still impossible to tell what the
problem is.
I don't follow your application, possibly
Dear John,
I am including abundance values ââin my data set so obviously I have zero
abundances.
The problem is that if plot only the factors (biomasa, altdosel, altsoto,
cobertura, riqarb, elevacion, temperatura, precipitacion) I get the
graphic, the same happen when I included only the
Dear John
There is my data set.
Thanks.
On Wed, Jul 9, 2014 at 8:12 PM, John Fox j...@mcmaster.ca wrote:
Dear Judith,
I take it from your reply that you have *more* observations than there are
response variables in the multivariate linear model, but since you still
haven't provided
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