Re: [R-sig-Geo] madifa with qualitative variables

the technical problem of matrix inversion, but not the problem of the meaning of the results, which is an open issue... HTH, Best regards, Clément Calenge -- Clément CALENGE Cellule d'appui à l'analyse de données Direction des Etudes et de la Recherche Office national de la chasse et de la faune

Re: [R-sig-Geo] Step characteristics on raster maps (Mathieu Basille)

each segment then use the overlay method to obtain info in each of these polygon. Arnaud -- Clément CALENGE Cellule d'appui à l'analyse de données Direction des Etudes et de la Recherche Office national de la chasse et de la faune sauvage Saint Benoist - 78610 Auffargis tel. (33

Re: [R-sig-Geo] randtest.enfa {adehabitat}

returns a list with one component tab (the component of interest) and one component index (the component allowing to rebuild the original kasc), so that the correct code is: sum(dudi.pca(kasc2df(map)$tab, row.w = dataenfa1$pr/sum(dataenfa1$pr), scan=FALSE)$eig) Best, Clément Calenge

Re: [R-sig-Geo] randtest.enfa {adehabitat} -- erratum in calculating the tolerance

On 06/09/2010 09:05 AM, Clément Calenge wrote: sum(dudi.pca(kasc2df(map), row.w = dataenfa1$pr/sum(dataenfa1$pr), scan=FALSE)$eig) which gives you 5 only. The weights should sum to 1 (i.e. they are proportions). But then, how would you interpret this? This is the same as for the global

Re: [R-sig-Geo] randtest.enfa {adehabitat}

: it is provided by scatter.enfa (see the paper cited above). So I do not understand how the result of scatter.enfa could be inconsistent with the biplot, since the result of scatter.enfa *is* the biplot. Best, Clément Calenge -- Clément CALENGE Cellule d'appui à l'analyse de données Office national de la

Re: [R-sig-Geo] enfa-gnesfa details (adehabitat)

is the dataframe containing the values of environmental variables (columns) in each pixel (rows), and that wei is as above the vector describing the utilization weight of each pixel, you can calculate the tolerance with: sum(dudi.pca(tab, row.w=wei, scan=FALSE)$eig) HTH, Clément Calenge

Re: [R-sig-Geo] randtest.enfa {adehabitat}

here... Best regards, Clément Calenge -- Clément CALENGE Cellule d'appui à l'analyse de données Office national de la chasse et de la faune sauvage Saint Benoist - 78610 Auffargis tel. (33) 01.30.46.54.14 ___ R-sig-Geo mailing list R-sig-Geo

Re: [R-sig-Geo] FANTER? (adehabitat)

of 1/eigenvalues just before the eigenvalue P-3 (where P is the total number of eigenvalues), then it would be a good idea to keep the last three axes. Then factorial maps and other tools described on the help page and in the paper would help to interpret the results. Hope this helps, Clément

Re: [R-sig-Geo] enfa [adehabitat]

, Clément Calenge On 05/04/2010 01:41 PM, Consuelo Hermosilla wrote: Hello guys, I have a couple of questions regarding enfa (adehabitat package). The first is related to this message: In predict.enfa(enfa1, octopus.hab$index, octopus.hab$attr) : the enfa *is not mathematically optimal

Re: [R-sig-Geo] adehabitat

- as.data.frame(attr([EMAIL PROTECTED], att)) should be changed to ka - [EMAIL PROTECTED] Many thanks for this comment. This will be included in the next version which will be uploaded on CRAN before the end of the week. Best wishes, Clément CALENGE