..or we could include 'Plot' as random variable?
library(lme4)
mod - glmm(DS ~ Time + 1|Plot)
Yours,
Kay
Von meinem Smartphone gesendet
Bob O'Hara boh...@senckenberg.de schrieb:
On 10/29/2014 04:27 PM, Ludovico Frate wrote:
Dear all,I'am trying to fit a very simple linear model. I am
,
permutations = 1000)
Regards,
Kay
--
Kay Cichini, MSc Biol
Grubenweg 22, 6071 Aldrans
Tel.: 0650 9359101
E-Mail: kay.cich...@gmail.com
Web:
www.theBioBucket.blogspot.co.athttp://www.thebiobucket.blogspot.co.at/http://www.theBioBucket.blogspot.co.at
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, Kay Cichini kay.cich...@gmail.com wrote:
Hi all,
Does anyone have a clue why this is not working:
library(BiodiversityR)
library(vegan)
data(mite)
mite - mite[1:60,]
env - data.frame(Fac = rep(LETTERS[1:2], each = 30), NFac =
rep(letters[1:4], each = 15))
nested.npmanova
--
Kay Cichini, MSc Biol
Grubenweg 22, 6071 Aldrans
Tel.: 0650 9359101
E-Mail: kay.cich...@gmail.com
Web:
www.theBioBucket.blogspot.co.athttp://www.thebiobucket.blogspot.co.at/http://www.theBioBucket.blogspot.co.at
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[[alternative HTML version deleted
Hi,
Maybe the ritis package does what you want?
Regards,
Kay
Am 11.12.2012 23:46 schrieb Rich Shepard rshep...@appl-ecosys.com:
On Mon, 10 Dec 2012, Sarah Goslee wrote:
... get.taxonomic() no longer has an outputFile argument.
I've read the get.taxonomic() description in bio.infer.pdf
Hi,
no need for RCurl - this should suffice:
require(XML)
input = panthera-uncia
h - htmlParse(paste(http://api.iucnredlist.org/go/;,
input, sep = ))
(status - xpathSApply(h, '//div[@id=red_list_category_code]', xmlValue))
[1] EN
Many thanks for pointing up the IUCN-API, Eduard
Hi!
library(vegan)
data(dune)
sol - metaMDS(dune)
# use argument air! see ?orditorp:
plot(sol, type = n)
orditorp(sol, displ = sp, air = 1)
# or use pointLabel() from maptools package. this should avoid overplotting
of text -
# here is an example where I added cex according to species
supplied, however it is possible that some
important predictors were not included in the data sent to us.
Information provided by us should not be solely relied upon when
making decisions and clients should use their own judgement.
On 26/04/2012, at 7:19, Kay Cichini kay.cich...@gmail.com
Hi,
thanks a lot - things are much clearer now!
Then I will take the one you and Gavin suggested.
Kind regards,
Kay
Am 26.04.2012 17:47 schrieb Jari Oksanen jari.oksa...@oulu.fi:
On 26 Apr 2012, at 0:19, Kay Cichini wrote:
Hello all,
I'd like to test if total diversity differs
Hello all,
I'd like to test if total diversity differs between two communities. For
each community several samples were taken and abundances collapsed over
groups to compute total diversity for each group. I tried to use
vegan::oecosimu to test non-randomness of my statisitc (difference in
I can't grasp how it can be that the mean prediction at terminal nodes
perfectly fit the true mean values of the observed variable at the terminal
nodes -
I'm afraid I'm missing something completely obviuos here:
# make a regression tree:
rt - ctree(Ozone ~ ., data = airq)
# Validate:
Prediction
Hello list members,
I'm planning to model species presence / absence data (N = 523) that was
collected over a geographic area. Samples come from preferential sites (sea
level 1200 m, obligatory presence of permanent waterbodies, etc). I want
to infere on environmental factors determining the
thanks manuel,
i'm afraid unmarked can not deal with spatial autocorrelation -
see this post:
http://groups.google.com/group/unmarked/browse_thread/thread/f45bd5ab12aa127d/26446409f3e2a140?lnk=gstq=spatial%23#26446409f3e2a140
best,
kay
2012/3/20 Manuel Spínola mspinol...@gmail.com
You need
, AIC and friends. contrary, ctree
would yield an intuitive and simple result which i would fancy for this
purpose!
yours,
kay
2012/3/21 Manuel Spínola mspinol...@gmail.com
That is true, but it can deal with detectability, and I am afraid ctree
cannot.
Best,
Manuel
2012/3/21 Kay Cichini
observations too close to each other. Maybe this is not the best and
the most elegant solution, but it is often enough to see and get
reassured that there is no problem of autocorrelation in the
residuals.
Best regards,
Bálint
On Wed, Mar 21, 2012 at 09:48, Kay Cichini kay.cich...@gmail.com
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)),
Check this:
http://thebiobucket.blogspot.com/2011/04/repeat-measure-adonis-lately-i-had-to.html
Hope it helps,
Kay
Am 03.01.2012 16:26 schrieb Steve Brewer jbre...@olemiss.edu:
Hey folks,
I am ne
Hey folks,
I am new to R and am trying to modify my multivariate eco-statistics course
by
hi,
i don't exactly know what you want to do but this may serve as a starter:
http://thebiobucket.blogspot.com/2011/04/test-difference-between-diversity.html
if you want to test difference in habitat diversity between sites you just
need to replace my species in the example with your habitats.
possible permutations.
concluding, given a large enough nr. of possible permutations, i suppose one
should be able to this kind of analysis with adonis - would you agree?
yours,
kay
-
Kay Cichini
Postgraduate student
Institute of Botany
Univ. of Innsbruck
with two time points.
concluding, given a large enough nr. of possible permutations, i suppose one
should be able to this kind of analysis with adonis. would you agree?
yours,
kay
-
Kay Cichini
Postgraduate student
Institute of Botany
Univ. of Innsbruck
-
Kay Cichini
Postgraduate student
Institute of Botany
Univ. of Innsbruck
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be highly appreciated,
kay
-
Kay Cichini
Postgraduate student
Institute of Botany
Univ. of Innsbruck
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