hi,
you also may be interested in this approach:
library(vegan)
library(sparcl)
data(dune)
dis - vegdist(dune)
cluc - hclust(dis, complete)
grp - cutree(cluc, 3)
par(mfrow = c(2, 1))
plot(cluc)
rect.hclust(cluc, 3)
r - rect.hclust(cluc, 3)
text(cumsum(sapply(r,length)),
Is it an assemblage that you are trying to ordinate? If so, you can use
the hellinger transformation that is avaliable in the decostand function
of vegan to transform the data so that when you ordinate it you will
then have euclidean distances. See Legendre and Gallagher 2001 for the
Hello everyone.
Can anyone recommend books about meta-analysis? If they include examples in
R it would be even better.
Thanks!
Mariano
--
Dr. Mariano Devoto
Cátedra de Botánica
Facultad de Agronomía de la U.B.A
Av. San Martín 4453
C1417DSE
C.A. de Buenos Aires
Argentina
Dear list,
I'm trying to perform adonis and betadisper functions on a relative large
data set (7000 sites x 50 spp.) and found that R cannot allocate that much
memory to this task (I got an error along the line of Cannot allocate
vector of xx Mb). I have tried to use some of the high performance