[R-sig-eco] repeated measures ANOVA and PERMANOVA (does it exist?)

[Tania Bird]

Principal response curves would be a good way to go if you have balanced
data.

My recent paper may be of interest:
Bird, TLF et al.. (2017) Shrub Encroachment Effects on Habitat
Heterogeneity and Beetle Diversity in a Mediterranean Coastal Dune System. Land
Degrad. Develop., 28: 2553–2562. doi: 10.1002/ldr.2807
<http://dx.doi.org/10.1002/ldr.2807>.

I used repeated measures PERMANOVA and ADONIS (a more robust alternative to
anosim) with an unbalanced dataset.
If this seems of interest I can share my code.

Tania

Tania Bird MSc
PhD Student: Multivariate approaches to conserve and restore multi-taxa coastal
dune biodiversity
Dept. of Geography & Environmental Development,
Ben Gurion University, Beer Sheva
https://www.linkedin.com/in/taniabird
birdt at post.bgu.ac.il


On 24 January 2018 at 16:51, Zoltan Botta-Dukat <
botta-dukat.zoltan at okologia.mta.hu> wrote:

> Hi,
>
> You also try using principal response curves as suggested in this recent
> publication:
>
> dx.doi.org/10.1002/ecs2.2023
>
> Zoltan
>
>
> 2018.01.24. 15:28 keltezéssel, Pedro Pequeno írta:
> > Hi,
> >
> > you could ordinate your observations first (e.g. using NMDS or PCoA), and
> > then model the resulting scores using location and time as predictors (if
> > you are interested in estimating their independent effects), or using a
> > repeated-measures Anova or a GLMM with location as random factor  to
> > account for within-location autocorrelation.
> >
> > Just in case, Legendre & Gauthier (2014) discuss several approaches for
> > space-time analyses (
> > http://rspb.royalsocietypublishing.org/content/281/1778/20132728.short)
> >
> > Cheers,
> >
> > Pedro A. C. L. Pequeno
> >
> > Em terça-feira, 23 de janeiro de 2018, David Barfknecht <
> > dfbarfknecht at outlook.com> escreveu:
> >
> >> Hello all,
> >>
> >> I am currently working on a project that uses species occurrence data
> >> (0/1) to construct an NMDS ordination where some points are the same
> >> location but through time (10 locations X 3 survey times = 30
> >> observations). I want to use ANOSIM and PERMANOVA to look at both
> >> individual locations controlling for time and all survey periods
> >> controlling for location. Basically, I want to look at location and
> times
> >> as separate factors.  I am curious if anyone have ever had to write a
> >> script for repeated measures ANOSIM and/or PERMANOVA. I am aware of how
> to
> >> do the unrepeated measures version of these in the vegan package, but
> not
> >> repeated measures versions. Any suggestions?
> >>
> >> If not, are there other methods more appropriate to investigate this?
> >>
> >> Thank you in advance for any advice.
> >>
> >> Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for
> >> Windows 10
> >>
> >>
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> >>
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> --
>
> Botta-Dukát Zoltán                                Zoltán BOTTA-Dukát
> ------------------------------------------------------------
> ------------------------
> Ökológiai és Botanikai Intézet                    Institute of Ecology and
> Botany
> Magyar Tudományos Akadémia                        Hungarian Academy of
> Sciences
> Ökológiai Kutatóközpont                           Centre for Ecological
> Research
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