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
repeated measures ANOVA and PERMANOVA (does it exist?)
5 messages · David Barfknecht, Pedro Lima Pequeno, Botta-Dukát Zoltán +2 more
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 ter?a-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 [[alternative HTML version deleted]]
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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 keltez?ssel, Pedro Pequeno ?rta:
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 ter?a-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 [[alternative HTML version deleted]]
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Botta-Duk?t Zolt?n Zolt?n BOTTA-Duk?t ------------------------------------------------------------------------------------ ?kol?giai ?s Botanikai Int?zet Institute of Ecology and Botany Magyar Tudom?nyos Akad?mia Hungarian Academy of Sciences ?kol?giai Kutat?k?zpont Centre for Ecological Research -------------------------------------------------------------------------------------------- 2163. V?cr?t?t, Alkotm?ny u. 2-4. H-2163 V?cr?t?t, Alkom?ny u. 2-4.,HUNGARY tel: +36 28 360122/138 Phone: +36 28 360122/138 fax: +36 28 360110 Fax +36 28 360110 botta-dukat.zoltan at okologia.mta.hu botta-dukat.zoltan at okologia.mta.hu http://okologia.mta.hu/Botta-Dukat.Zoltan http://okologia.mta.hu/en/Zoltan.BOTTA-DUKAT *New book:* Theory-Based Ecology; A Darwinian approach Authors: Liz P?sztor, Zolt?n Botta-Duk?t, Gabriella Magyar, Tam?s Cz?r?n, and G?za Mesz?na Available at Amazon <https://www.amazon.com/Theory-Based-Ecology-Darwinian-Liz-Pasztor/dp/0199577862/ref=sr_1_1?s=books&ie=UTF8&qid=1467644770&sr=1-1&refinements=p_27%3ATamas+Czaran>, in most major bookstores, or directly from Oxford University Press <https://global.oup.com/academic/product/theory-based-ecology-9780199577866?lang=en&cc=gb> Companion website: http://tbe.elte.hu/ [[alternative HTML version deleted]]
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 keltez?ssel, Pedro Pequeno ?rta:
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 ter?a-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 [[alternative HTML version deleted]]
_______________________________________________ R-sig-ecology mailing list R-sig-ecology at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
[[alternative HTML version deleted]]
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-- Botta-Duk?t Zolt?n Zolt?n BOTTA-Duk?t ------------------------------------------------------------ ------------------------ ?kol?giai ?s Botanikai Int?zet Institute of Ecology and Botany Magyar Tudom?nyos Akad?mia Hungarian Academy of Sciences ?kol?giai Kutat?k?zpont Centre for Ecological Research ------------------------------------------------------------ -------------------------------- 2163. V?cr?t?t, Alkotm?ny u. 2-4. H-2163 V?cr?t?t, Alkom?ny u. 2-4.,HUNGARY tel: +36 28 360122/138 Phone: +36 28 360122/138 fax: +36 28 360110 Fax +36 28 360110 botta-dukat.zoltan at okologia.mta.hu botta-dukat.zoltan at okologia.mta.hu http://okologia.mta.hu/Botta-Dukat.Zoltan http://okologia.mta.hu/en/Zoltan.BOTTA-DUKAT *New book:* Theory-Based Ecology; A Darwinian approach Authors: Liz P?sztor, Zolt?n Botta-Duk?t, Gabriella Magyar, Tam?s Cz?r?n, and G?za Mesz?na Available at Amazon <https://www.amazon.com/Theory-Based-Ecology-Darwinian-Liz-P asztor/dp/0199577862/ref=sr_1_1?s=books&ie=UTF8&qid=14676447 70&sr=1-1&refinements=p_27%3ATamas+Czaran>, in most major bookstores, or directly from Oxford University Press <https://global.oup.com/academic/product/theory-based-ecolog y-9780199577866?lang=en&cc=gb> Companion website: http://tbe.elte.hu/ [[alternative HTML version deleted]]
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David, Assuming the distance/similarity measure is non-euclidean (e.g., Bray-Curtis), see attached pdf document containing a previous post on this subject. This approach is based on the one that Marti Anderson describes in Primer. Good luck, Steve Stephen Brewer jbrewer at olemiss.edu<mailto:jbrewer at olemiss.edu> Professor Department of Biology PO Box 1848 University of Mississippi University, Mississippi 38677-1848 Brewer web page - https://jstephenbrewer.wordpress.com FAX - 662-915-5144 Phone - 662-202-5877
On Jan 23, 2018, at 3:33 PM, David Barfknecht <dfbarfknecht at outlook.com<mailto:dfbarfknecht at outlook.com>> wrote:
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 _______________________________________________ R-sig-ecology mailing list R-sig-ecology at r-project.org<mailto:R-sig-ecology at r-project.org> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology