[R] [slightly OT] predict.randomForest and type=”prob”

ities”. Could you point me toward some references about this problem, or give me ideas of the assumptions under which this approximation would be correct? Thanks for any hint ! Best regards, Clément Calenge > version _ platform i686-pc-linux-gnu arch i686 os

[R] [slightly OT] predict.randomForest and type=”prob”

ities”. Could you point me toward some references about this problem, or give me ideas of the assumptions under which this approximation would be correct? Thanks for any hint ! Best regards, Clément Calenge > version _ platform i686-pc-linux-gnu arch i686 os

[R] [R-pkgs] adehabitatMA, LT, HR and HS version 0.1

lemented in the function kernelUD of the package adehabitatHR), since they have been deeply discussed with users and corrected during the last six years. Only the input and output of the functions have been changed. =================

Re: [R] as.ltraj error: date should be of the same length as xy

t;- as.POSIXct(strptime(as.character(data1$Time),"%m/%d/%y%H:%M:%S")) head(da) id <- as.character(data1$id) head(id) data1 <- as.ltraj(xy, da, id) Regards, Clément Calenge -- Clément CALENGE Office national de la chasse et de la faune sauvage Saint Benoist - 78610 Auffargis

Re: [R] asc class object - how to get positions (coordinates) for a given raster ID?

The function getXYcoords in the package adehabitat might help. You may also consider asc2spixdf, which returns an object of class SpatialPixelsDataFrame (where the coordinates are stored as well as the values of the pixel). Hope this helps, Clément Calenge. Paulo Eduardo Cardoso wrote: In

Re: [R] Ecological Niche Modelling on R

eron, J. and Williams, S. and Wisz, M.S. and Zimmermann, N.E.}, title = {Novel methods improve prediction of species distributions from occurrence data}, journal = {Ecography}, year = {2006}, volume = {29}, pages = {129-151} } and references therein. Cheers, Clément Calenge. -- Clément C

Re: [R] Modeling presence only data in R

selection studies. Ecology, 89, 555-566. and references therein. You may also consider the GNESFA, a generalization of the MADIFA/ENFA approach (see the function gnesfa and references therein). Other commonly used approaches are also available in adehabitat. Best wishes, Clément Calenge