Hi,
I am not sure that I get what you wanted, but if you are interested in
names, I propose something like this:
is.there - dune
is.there[is.there 1] - 1 #change counts to presence/absence data
number.of.samples - colSums(is.there)
single.occurrences-names(dune)[number.of.samples ==1]
Hi Martin,
thanks a lot. Also your commands are working... It's very nice to see how
different solutions in R can be found for a single problem.
I just have another question now, but... if I would know which species are
in common (and which not) between two particular selected samples?
Thanks for
Hi all R-sig-ecologists,
Sorry for the very simple and probably stupid question. I was wandering if
exist a simple method or a function in R, to detect which different species
are present among the samples of a given data community matrix.
Thanks a lot in advance,
--
Gian
Hi Gian,
I don't understand what you're trying to do. Can you give a simple example
of your data and what your results should be?
Sarah
On Saturday, February 1, 2014, Gian Maria Niccolò Benucci
gian.benu...@gmail.com wrote:
Hi all R-sig-ecologists,
Sorry for the very simple and probably
Hi Sarah,
I am sorry, I'll try to be more precise. Given a dataset like...
data(dune)
dune[1:8, 1:10]
Belper Empnig Junbuf Junart Airpra Elepal Rumace Viclat Brarut Ranfla
2 3 0 0 0 0 0 0 0 0 0
13 0 0 3 0 0 0
Hi, maybe you must think about the biological meaning of your question,
and you could try some ordination analysis, perhaps you are interested
in some kind or beta diversity?
Hope it helps,
Olmo.
El Sat, 1 Feb 2014 14:08:06 +0100
Gian Maria Niccolò Benucci gian.benu...@gmail.com escribió:
Hi
Hi and sorry, I didn't know how is your data. You could try spp.est
from fossil package, I hope you find it useful.
Best luck,
Olmo.
El Sat, 1 Feb 2014 20:07:52 +0100
Gian Maria Niccolò Benucci gian.benu...@gmail.com escribió:
Dear all,
Thanks for the precious tips you gave...
Olmo, I