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...my vegetation data with hierachical cluster analysis. My Dataset consist of Abundance-Values (Braun-Blanquet ordinal scale; ranked) for each plant species and relev?. I found a lot of r-packages dealing with cluster analysis, but none of them is able to calculate a distance measure for ranked data. Podani recommends the use of Goodman and Kruskals' Gamma for the distance. I found the function rcorr.cens (outx=true) of the Hmisc package which should do it. What I don't understand is how to define the input vectors x, y with my vegetation dataset. The other thing how I can use the output of rc...

...he first version of FD (1.0-0) is now available on CRAN: http://cran.r-project.org/web/packages/FD/ The main functions of FD are: dbFD: Compute different multidimensional FD indices gowdis: Gower dissimilarity, including options for variable weights, asymetric binary variables, and implementing Podani's (1999) extension to ordinal variables fdisp: Functional dispersion functcomp: Functional composition (community-weighted means ot trait values, or CWM) I hope that FD will be useful to you. Feedback would be appreciated. Sincerely, Etienne Lalibert? ================================ Rural...

...he first version of FD (1.0-0) is now available on CRAN: http://cran.r-project.org/web/packages/FD/ The main functions of FD are: dbFD: Compute different multidimensional FD indices gowdis: Gower dissimilarity, including options for variable weights, asymetric binary variables, and implementing Podani's (1999) extension to ordinal variables fdisp: Functional dispersion functcomp: Functional composition (community-weighted means ot trait values, or CWM) I hope that FD will be useful to you. Feedback would be appreciated. Sincerely, Etienne Lalibert? ================================ Rural...