Redundancy Analysis (RDA) in R

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Thank u so much, everything was 100% clear! If someone wants to read more about the RDA or other ordination methods, you can refer to Numerical Ecology with R (Borcard). Saludos desde Peru!

ismaelemilioaguilarbocaneg
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Thanks a lot for your clear and simple explanation! You made rda way more clear to me after this video!

carloswillian
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This was super helpful!! Great explanations! Thanks for guiding me to this video from your comment response on the PCA video. Much appreciated!

slimestage
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thanks you sharing, its so clear and really useful. I struggled in so many reading materials until your video.

gushan
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Great video to supplement my multivariate stats class lectures! Super concise explanation of RDA really helps to hammer down the important information for completing the analysis:)

MichaelWilshire-qd
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Amazingly clear explanation! I love that you explain even the basics of each step, it's so useful for someone who's just starting out with statistical analyses and struggles to understand high-level explanations common in other sources

MichaDavidova
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Thank you so much ! The clearest and most logical video about RDA I've ever seen. Really helpful with a lot of details which I want to know ! 👍

Kiwi-ji
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Hi Nikki, many thanks for creating this tutorial and also all the thorough explanation provided :). I have a question, when you do the anova (anova(spec.rda2, by="margin", perm.max=1000) #tells you if the order of the terms is significant). I don't get what you mean by the "order of the terms"? Biologically speaking, what does it mean? I am also struggling in customizing the rda plot with ggord... do you have any experience on that? Many thanks in advance! Cheers from Uruguay :)

germanperez
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Wonderful video and explanantion. Please can you proivde the script used and the data set as well?

farmIntegral
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Thank you very much!! This helped me a lot!!!

danielcarvalho
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Are there more assumptions we have to meet or is it enough to do what you did, e.g. with the collinearity?

lkc
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Amazing work as always!! I also wanted to ask you how you could add ordinal variables into this, Is it possible? For example, vegetation growth habit (e.g. herbaceous, shrub, tree). Is it possible to mix it with numerical data as your environmental variables? On the other hand, could you do a video using a PCoA? I have been reading and it seems is the best way to represent beta diversity in terms of similarity among the groups because of the distance approach! I would appreciate your comments about this. Thank you so much!!

PedroAndrésMuñozSantibáñez
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in my case the anova anylsis that I ran was not sig. what so ever. but when I check only few choosen that was intresting for me to plot and than the anova turned sig. for each test of anova .

I just don't know why mine is not fully seen on the screen of the plot.
and how do I make sure I dont have overlapping of the final text in the plot?

ofirshorshy
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Hi! Great video :)
I'm stuck in a situation which is similar to your script: I'm performing an rda and obtaining a model with only RDA1 and PC1 as output, but the step function won't work on it. I passed the model the same way as you did (rda_step1 <- step(rda_results, scope=formula(rda_results), test="perm")) but the script stops after a few succesful steps with the error "Error in `[.data.frame`(m, xvars) : undefined column selected". What could that mean?

lauraviviani
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Error in step(spec.rda, scope = formula(spec.rda), test = "perm") :
AIC is -infinity for this model, so 'step' cannot proceed. I got it problem?

ibrahimhalilyildirim
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Hi, first of all... ty for your video!
I have a problem with my RDA analysis, the analysis is taking the same number of enviromental data as especies, even when my enviromental dataset has more columns than especies, do u why this happens?

Souloether
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Great but you code text is tiny - even at the higest res.

haraldurkarlsson
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