to apply, and the formalities):
https://www.jobbnorge.no/en/available-jobs/job/194344/phd-research-fellow-at-the-department-of-mathematical-sciences
If any potential applicant have questions, they should feel free to ask me.
Bob
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est regards,
Martin Weiser
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-0.38008 0.13722 -2.77
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Mehdi Abedi
Department of Range Management
Faculty of Natural Resources Marine Sciences
Tarbiat Modares University (TMU)
46417-76489, Noor
Mazandaran, IRAN
mehdi.ab...@modares.ac.ir
Homepage
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be, but I doubt that will be a big problem.
I used to get data where the data would flip between 0 and 100 over a
range of doses. In the end I gave up with those problems and became an
ecologist
Bob
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, you can use mvabund for OTUs: I've helped a colleague do this (e.g.
dx.doi.org/10.1371/journal.pone.0053987).
Bob
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with the original reference
variable
result[,1] = ref[,1]
for (i in 1:nrow(ref)){
for (j in 1:nrow(assoc))
if (ref[i, 1] == assoc[j, 1]){
resultado[i, 2] == assoc[j, 2]
}
}
col = ncol(dados)
Any thoughts?
Thanks in advance,
Alexandre
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.12122/abstract
Bob
Thanks,
Amanda
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On 10/17/2014 05:36 PM, Gavin Simpson wrote:
On 17 October 2014 06:44, Bob O'Hara boh...@senckenberg.de
mailto:boh...@senckenberg.de wrote:
On 17/10/14 13:54, José M. Blanco Moreno wrote:
Dear users
I have been checking the values returned by the function estimateR
assumptions about how your system is
behaving.
Bob
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to generate the plots too, so you have
something to work from).
Bob
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-ecology
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Journal of Negative Results - EEB
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Weiser
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==which.casod], N, replace=F)
e.g. SampledData=sapply(unique(Data$casod), blinding, df=Data)
will sample for each value of casod
Bob
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appreciated.
Sincerely,
Eric
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for convergence? If the chains are giving different
marginal distributions, this suggests they haven't converged, so they
are not sampling from the correct posterior distribution (or, at least,
some chains aren't).
Bob
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,
Kassahun
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?
Let's say 'null.dist' the null distribution, 'obs' the observed value
and 'alpha' the probability of Type I error.
set.seed(10)
rnorm(999)-null.dist
obs-1.5
alpha-0.05
pval=mean(obsnull.dist)
min(pval, 1-pval)0.05
Bob
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*
C.abundances:C.diversity 0.5367 0.1801 2.980 0.00489 **
Thanks a lot for your help!
Iris
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model-checking plots (e.g. residuals).
There is more advice in the links here:
http://r.789695.n4.nabble.com/Checking-the-assumptions-for-a-proper-GLM-model-tp1559502p1560503.html.
Bob
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smaller. Of course, another
temperature than 5°C might work better for you.
Bob
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appreciated!
Best,
A bit of googling brought up this, from 10 years ago:
http://tolstoy.newcastle.edu.au/R/help/02b/2068.html
I don't think lme has changed that much.
Bob
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partial residuals
(http://en.wikipedia.org/wiki/Partial_residual_plot).
Bob
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Blog
as well stick to the original analysis.
Bob
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=Sigma)
# Do PCA on new data. First do it wrong...
PC.wrong=predict(PC, newdata=scale(NewData))
# Now scale correctly
NewData.Sc=scale(NewData, center=attr(Data.Sc, scaled:center),
scale=attr(Data.Sc, scaled:scale)
PC.right=predict(PC, newdata=NewData.Sc)
HTH
Bob
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to
fit a straight line rather than a smooth curve. The other thing to do is
to define the maximum flexibility of the curve, e.g.
model-gam(Sillaginidae~s(temperature, k=6)+s(salinity)+s(depth))
I hope this helps.
Bob
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the best sort.
Bob
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to zero when x
approaches infinity when at the same time y should equal 1 at infinity.
It's not a big problem, though. Just use 1-y instead of y.
Bob
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effect. Any tips on how to approach that?
Report the random effect and confidence intervals. Retrospective power
analyses are pretty pointless (e.g. see
http://beheco.oxfordjournals.org/content/14/3/446.full), unless you're
planning to repeat the experiment.
Bob
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interaction terms and not based on the term that was used as a main
effect?
Thanks very much for any insight.
Kristen Gorman
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IIRC, you just need to close WinBUGS, and it'll return to R.
You only need to use debug=T if BUGS is trapping or throwing errors (and
have fun understanding the traps).
Bob
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-models
https://stat.ethz.ch/mailman/options/r-sig-mixed-models/h.l.ward%40qmul.ac.uk
list, so apologies if you've seen it twice!
If an individual would have had pups, would you have seen it?
I'm wondering if you could simply add the zeroes back into the data.
Bob
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