Marianna,

I completely understand that R and other coding approaches can seem daunting. 
But I agree 100% with Murat, and encourage you and others to steer into the 
wind!   Coding is empowering!

First, a bit of R-coding allows you to improve your data manipulation and 
curation. This helps with scientific repeatability, compliance with journal 
requirements (which increasingly require one to submit curated data and scripts 
to a public repository), and basically enhances and encourages open-source 
science.

But more importantly, coding empowers you as a scientist. By moving to R, you 
remove yourself from the restraints that exist with canned software, whose 
options are necessarily limited by the buttons and options that the user has 
available to point-and-click.  In essence, while prepackaged software is easy 
to use, it limits thinking and creativity by restricting
one’s analysis to those options that the software happens to have.

The unfortunate outcome of such canned software is that our GM literature 
becomes filled with many studies of similar analyses: not because those  
biological topics are inherently interesting per se, but because that is what 
the software happens to allow. This is the analytical version of what one of my 
mentors (Larry Slobodkin) once called ‘intellectual painting by numbers.’  I 
seriously hope that our field can do better now in the 21st century.

My message: learning a bit of code breaks this cycle, and frees one to 
investigate the questions that one actually wishes to explore, not just those 
for which canned software has already provided. I strongly encourage you (and 
others) to learn a bit of R, Python, or some other language so that your 
creative science is not restricted!

Best of luck in your journey.

Dean

Dr. Dean C. Adams
Distinguished Professor of Evolutionary Biology
Department of Ecology, Evolution, and Organismal Biology
Iowa State University
https://faculty.sites.iastate.edu/dcadams/
phone: 515-294-3834

From: [email protected] <[email protected]> On Behalf Of 
Murat Maga
Sent: Sunday, January 5, 2025 12:29 PM
To: Morphmet <[email protected]>
Subject: Re: [MORPHMET2] MorphoJ ProcrustesANOVA

Dear Marianna,

A quick comment: Instead of trying to work this with PAST, I highly encourage 
you to spend that time trying to do the same in R using geomorph, or other 
shape analysis libraries. Yes, it will probably take longer, yes it will be 
somewhat bumpy road initially. But you will be much better set for the next 
challenge. Graphical user interface applications are good up to a point (for 
common tasks). And I am telling you as someone who is developing UI based 
morphometrics analysis.

Most often in biology, you will have to customize your analysis to the specific 
question you are trying to answer. This is best done via scripting in a 
flexible programming environment (whether that's R or Python or some other 
language is irrelevant). There are tons of resources and a very supportive 
community to help you with your challenges. Going forward, all fields of 
biology will be more computational not less, and the sooner you start warming 
up to the idea it will be better for your career.

Your future self will thank you for that decision.

M

On Sunday, January 5, 2025 at 5:05:47 AM UTC-8 
[email protected]<mailto:[email protected]> wrote:
Thanks everyone... I suspected this was the case but wanted to be sure I wasn't 
missing anything. I'm going to look into using PAST first, since I'm not the 
most comfortable in R.
On Saturday, January 4, 2025 at 5:34:57 AM UTC-8 Adams, Dean [EEOB] wrote:
In R use geomorph.

Dean

Get Outlook for Android<https://aka.ms/AAb9ysg>
________________________________
From: [email protected]<mailto:[email protected]> 
<[email protected]<mailto:[email protected]>> on behalf of 
alcardini <[email protected]<mailto:[email protected]>>
Sent: Friday, January 3, 2025 11:56:13 PM
To: [email protected]<mailto:[email protected]> 
<[email protected]<mailto:[email protected]>>; morphmet2 
<[email protected]<mailto:[email protected]>>
Subject: Re: [MORPHMET2] MorphoJ ProcrustesANOVA

Dear Marianna,
the tests are parametric in MorphoJ as far as I know.
One can do the permutations in R. If you have also a main factor, however, it 
is a bit convoluted to design it (or at least I found only a convoluted way of 
doing it). You'll find a description in a footnote in Table 1 of 
https://europeanjournaloftaxonomy.eu/index.php/ejt/article/view/2527
If you're analyzing symmetry/asymmetry, the 'trick' I used needs to be reworked 
and may not work but it should be possible to do an equivalent analysis in one 
of the morphometric packages (morpho, geomorph, not sure about momocs).
I am sure a skilled R coder will be able to suggest better ways.
Good luck.
Cheers

Andrea

On Sat, 4 Jan 2025 at 04:37, [email protected]<mailto:[email protected]> 
<[email protected]<mailto:[email protected]>> wrote:
Dear morphmet members,
I expect this will be a relatively easy question.
Does the Procrustes ANOVA in MorphoJ use permutations? I don't see it as an 
option, though I see it in regression and in Matrix correlation.
I expect that since there isn't an option for it, then it is not a 
permutation-based test, but it seems so odd that it wouldn't be.
I can't find it in the documentation, and I'm convinced it must be there and 
I'm missing it. If there is something that discusses this, could you kindly 
point me to it.
Thanks in advance,
Marianna C.
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