Daniel Patón Domínguez <d.paton.d <at> gmail.com> writes:
>
> > The library of packages that installs with R includes the stats
> > package, in the stats package is the glm function for fitting
> > generalized linear models. Using glm with a binomial family will fit
> > a logistic regression which can be used as you describe.
> >
> > If you really feel the need to use an additional package then lrm in
> > the rms package is another option (and I am sure there are others as
> > well).
>
> Dear colleague:
> I know both possibilities but I am speaking about a relationship
> between two sets of presence/absence data. Usually I use Canonical
> Correspondence Analysis for this but I am not sure if a specific
> package of R is designed for this type of data
If you know you want to do canonical correspondence analysis, you
could look for it as follows:
library("sos")
findFn("{canonical correspondence}") ## whole phrase
# or
findFn("canonical correspondence") ## separate words
which indicates that you should be probably looking first
at the 'anacor' and 'vegan' packages.
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