Dne 10. 10. 23 v 18:26 Barton, Alana Charlotte napsal(a):
Hello,
I was recommended this email by another student for R help;
I am currently analyzing differences in fish assemblages due to temperature
extremes. I am looking at data over multiple years.
I chose three sampling sites within a single
. The step up
> to the multivariate model just needs some work understanding what the
> relevant R package wants.
>
> HTH
>
> Bob
>
> On 12/01/17 14:12, Martin Weiser wrote:
>>
>> Dear friends,
>>
>> Could you please help me with analysis? I am afra
e appreciated.
With the best regards,
Martin Weiser
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elegant one.
I would appreciate your suggestions.
With the best regards,
Martin Weiser
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Hi Conny,
AFAIK NMDS is *non-metric* and represents distances among objects, not
gradients along axes (known or unknown): distances along axes are
stretched as needed locally (NMDS works with rank order), even order of
the elements along axes does not tell anything. NMDS is great if you
want to sa
moses selebatso píše v Pá 27. 11. 2015 v 03:55 +:
> Hello
> I am trying to analyse diet overlap (level of similarity) between two
> species. I have diet composition in %. I have tried to find the best tool,
> and thought Morisita horn will do, but I cant find the right package for. Is
> th
moses selebatso píše v Pá 27. 11. 2015 v 03:55 +:
> Hello
> I am trying to analyse diet overlap (level of similarity) between two
> species. I have diet composition in %. I have tried to find the best tool,
> and thought Morisita horn will do, but I cant find the right package for. Is
> t
Dear friends,
Is there any reason why to run logistic regression (binomial response)
by glm() and not by logistf() by default? In particular when having
sparse data (e.g. 8 presences in 100 samples), frequently with
quasi-separation (all presences at one level of the predictor, together
with many
):
http://stats.stackexchange.com/questions/132627/interpreting-estimates-of-cloglog-logistic-regression
Best,
Martin Weiser
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Ludovico Frate píše v St 29. 10. 2014 v 16:27 +0100:
> Dear all,I'am trying to fit a very simple linear model. I am analyzing the
> differences in the number of species (DS) found in several permanent plots in
> two year of observations.
> Firstly, I have calculated the differences per plot (i.e
Dear friends,
I have just looked at vegan:::varpart2, and it seems to me that in
estimation of degrees of freedom for adjusted R2 calculation, it just
uses number of columns in the constraining matrix/dataframe.
Am I right?
Is this appropriate if the constraining dataframe involves factors with
s
Hi,
coefficients and their p-values are reliable if your data are OK and you
do know enough about the process that generated them, so you can choose
appropriate model. With 4 points per line, it may be really difficult to
identify bad fit or outliers.
For example: simple linear regression needs
Hi,
just a minor comment below.
Bob O'Hara píše v So 14. 06. 2014 v 09:45 +0200:
> On 06/14/2014 03:05 AM, Luis Fernando Garca wrote:
> > Dear all,
> >
> > I am making an analysis using a GLM using three explanatory variables and a
> > response variable. I need to obtain a table similar to this one
e correlation of
reaction norm with exotraits) may be desirable for the overall test,
but I simply do not know.
Any advice?
Best,
Martin Weiser
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Alicia Valdés píše v Čt 22. 05. 2014 v 15:47 +0200:
> Hi,
>
> I am using the function capscale() in vegan to perform a partial
> distance-based RDA. I would like to use not one, but two conditioning
> factors, A and B, in order to remove their effects out of the analysis. B
> is nested in A. I don
Hi,
If I got it right, you have:
a, dissimilarity ("distance") measures
b, some (noisy?) environmental variables, so you do not want
multivariate regression regression analogue, but you are interested in
multivariate correlation analogue (roles of the predictor matrix and
response matrix can be s
Greg McClelland píše v Pá 04. 04. 2014 v 13:22 -0500:
> Hi everyone,
>
> Using the following data, I need to determine if, independent of mass,
> the observed response is associated with sex, location, and/or age
>
> |example<-data.frame(response=c(2.401,2.588,2.293,2.880,2.655,2.830,3.165,2.665
Besides, one can use (I hope) GNU Octave (free, libre, opensource) to do
it with the original MatLab code, as Octave is compatible with MatLab.
HTH.
Martin
Gavin Simpson píše v Pá 28. 03. 2014 v 20:44 -0600:
> In short, no. I haven't ported the rough code for LOO CV of CCA or
> CCA-PLS models. I
Hi Claas,
while this may be not the best plot one can imagine, I think it shows
well behaviour of individual spider (results are grouped by spider
identity, I guess). So yes, one could use specific symbol per spider,
but this seems like a usable way how to to cope with the "per-spider"
grouping, i
Luis Fernando García píše v Ne 23. 03. 2014 v 21:32 -0300:
> Dear R friends,
>
> I have to produce a plot like the one attached on the file. The idea is to
> plot the time spent for a spider over several different prey, the spiders
> were repreated in the different trials. If any of you knows how
claire della vedova píše v So 22. 03. 2014 v 00:30 -0700:
> Hi everybody,
>
> I’m in troubles with results I obtained using rda function of vegan package
> and I would greatly appreciate some help.
> I did a rda to assess if my matrix of species abundances (18 sites and 34
> species) can be expl
Hi,
I am not sure why AUC should be better than, say, AICc - second order
Akaike criterion and AIC weights (comfortably calculated by AICcModavg
package) or Nagelkerke's R2 in this case. Would anybody be so kind and
explain this for me?
I just want to make warning: do not put strong (or any) empha
blem.
> 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 the brainstorming :)
>
> Gian
>
>
>
>
>
> On 3 February 2014 17:01, Martin Weiser wrote:
>
>
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]
multip
Sol Noetinger píše v Út 17. 12. 2013 v 12:01 -0300:
> Hello,
>
> I am trying to apply different statistics methods in a field that
> traditionally is not very keen to it and in consequence I am trying to learn
> all that I can.
> To the point, I am studying a palynological succession from the D
characteristic), then retain them.)
If you just need labels:
newdata <- olddata[,2:length(olddata)]
rownames(newdata) <- olddata[,1]
HTH,
Martin Weiser
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and avoid overfitting?
Any advice?
With thanks in advance,
best,
Martin Weiser
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v_coudr...@voila.fr píše v Út 15. 01. 2013 v 16:08 +0100:
> Dear sig-eco users,
>
> I would like to investigate the changes in a species community along an
> ecological gradient. I first thought about performing a Mantel test and infer
> if differences in
> species composition are related to di
s other than linear. You should look for some
alternative, eg. Nagelkerke's R-squared, but be warned that these
alternatives sometimes lack some usual properties of R2 like aditivity -
sum of Your "explained variances" for individual factors would not be
the same as the "explained variance" of the full model.
I hope this helps.
Martin Weiser
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Extensions in Ecology
with R
XOR
b, Pinheiro & Bates (2000/2009): Mixed-Effects Models in S and S-PLUS?
Thank you for your patience.
With the best regards,
Martin Weiser
(Dept. of Botany, Science Faculty, Charles University in Prague, Czech
Rep.)
_
t I am not sure whether it is useful). Or
forget testing, and just look at the matrix of correlation coefficients
themselves - these numbers tell the story, p-values just say how likely
are they lying in doing so.
Best,
Martin Weiser
Wayne Richter píše v Pá 16. 11. 2012 v 12:59 -0500:
> T
d use that as a measure of the variance
explained by the particular model.
(I hope someone corrects me if I am wrong).
I hope this helps.
Martin Weiser
lgj200306 píše v Čt 02. 08. 2012 v 06:50 +0800:
> Thanks Liz, Brian and Mollie. Your replies are helpful for me.
> I have realized the co
undetermined something non-regularly stressed (NMDS).
But this is just my feeling, I may be wrong easily, but in that case I
hope someone will correct me.
Best,
Martin Weiser
Alan Haynes píše v Čt 10. 05. 2012 v 13:17 +0200:
> Hi all,
>
> Im using envfit with some decomposition data currently b
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>
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Hi Marc,
I personally like the website of Mike Palmer:
http://ord
n
>
>
> [[alternative HTML version deleted]]
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Hello,
to me it seems that you ask for nesting:
mod <-
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