JClavel / mvMORPH

mvMORPH: an R package for fitting multivariate evolutionary models to morphometric data
17 stars 5 forks source link

Analyzing 2d morphometric data #16

Open emaseculi opened 4 months ago

emaseculi commented 4 months ago

Hi @JClavel how are you? I been working with the abeliaruids maxilla evolution using 2d geometrics morphometrics technique. I employed the 90% of phylogenetics PCs to explore the evolution of this structure using the function of mvMORPH (mvOU, mvEB and mvBM) in different hyphotesis of evolution. Recently I discovered the mvgls function and I want to compore how the result change when i considere all the dimension of my data with the Penalized Likelihood Framework approach, additionally the PhyloPcs can produce bias results. But I do not know how can i should convert the procustes coordinate (matrix, data frame, etc) and if the coordinates should be in the columns or rows. Moreover i do not understand how i have to use the arguement formula. If you can give some advice i really appreciate

Best regards!

JClavel commented 4 months ago

Hello,

The matrix must have the species in rows and coordinates in columns. Just use the superimposed coordinates (you can convert arrays to matrices using the "vecx" function in package Morpho). I think you can follow examples in the "mvgls", "gic" or "eic" help page. There's also a tutorial with examples on the phyllostomid bats dataset (mandibles in 2D) in the supplementary of one of our papers (http://dx.doi.org/10.5061/dryad.jsxksn052).

HTH

Best regards,

Julien


De : emaseculi @.> Envoyé : mardi 28 mai 2024 18:30 À : JClavel/mvMORPH @.> Cc : JClavel @.>; Mention @.> Objet : [JClavel/mvMORPH] Analyzing 2d morphometric data (Issue #16)

Hi @JClavelhttps://github.com/JClavel how are you? I been working with the abeliaruids maxilla evolution using 2d geometrics morphometrics technique. I employed the 90% of phylogenetics PCs to explore the evolution of this structure using the function of mvMORPH (mvOU, mvEB and mvBM) in different hyphotesis of evolution. Recently I discovered the mvgls function and I want to compore how the result change when i considere all the dimension of my data with the Penalized Likelihood Framework approach, additionally the PhyloPcs can produce bias results. But I do not know how can i should convert the procustes coordinate (matrix, data frame, etc) and if the coordinates should be in the columns or rows. Moreover i do not understand how i have to use the arguement formula. If you can give some advice i really appreciate

Best regards!

— Reply to this email directly, view it on GitHubhttps://github.com/JClavel/mvMORPH/issues/16, or unsubscribehttps://github.com/notifications/unsubscribe-auth/ACSCJSN445BUT56AKNQLFJLZESWJFAVCNFSM6AAAAABINI7TU6VHI2DSMVQWIX3LMV43ASLTON2WKOZSGMZDCNBYGY3DOMA. You are receiving this because you were mentioned.

emaseculi commented 4 months ago

Thank you very much. I will read the examples and the tutorial.

Abrazo

El mar, 28 may 2024 a la(s) 6:55 p.m., JClavel @.***) escribió:

Hello,

The matrix must have the species in rows and coordinates in columns. Just use the superimposed coordinates (you can convert arrays to matrices using the "vecx" function in package Morpho). I think you can follow examples in the "mvgls", "gic" or "eic" help page. There's also a tutorial with examples on the phyllostomid bats dataset (mandibles in 2D) in the supplementary of one of our papers ( http://dx.doi.org/10.5061/dryad.jsxksn052).

HTH

Best regards,

Julien


De : emaseculi @.> Envoyé : mardi 28 mai 2024 18:30 À : JClavel/mvMORPH @.> Cc : JClavel @.>; Mention @.> Objet : [JClavel/mvMORPH] Analyzing 2d morphometric data (Issue #16)

Hi @JClavelhttps://github.com/JClavel how are you? I been working with the abeliaruids maxilla evolution using 2d geometrics morphometrics technique. I employed the 90% of phylogenetics PCs to explore the evolution of this structure using the function of mvMORPH (mvOU, mvEB and mvBM) in different hyphotesis of evolution. Recently I discovered the mvgls function and I want to compore how the result change when i considere all the dimension of my data with the Penalized Likelihood Framework approach, additionally the PhyloPcs can produce bias results. But I do not know how can i should convert the procustes coordinate (matrix, data frame, etc) and if the coordinates should be in the columns or rows. Moreover i do not understand how i have to use the arguement formula. If you can give some advice i really appreciate

Best regards!

— Reply to this email directly, view it on GitHub< https://github.com/JClavel/mvMORPH/issues/16>, or unsubscribe< https://github.com/notifications/unsubscribe-auth/ACSCJSN445BUT56AKNQLFJLZESWJFAVCNFSM6AAAAABINI7TU6VHI2DSMVQWIX3LMV43ASLTON2WKOZSGMZDCNBYGY3DOMA>.

You are receiving this because you were mentioned.

— Reply to this email directly, view it on GitHub https://github.com/JClavel/mvMORPH/issues/16#issuecomment-2136170669, or unsubscribe https://github.com/notifications/unsubscribe-auth/BIZDMJ5LDJ4WLPIOTO4GTB3ZET4M5AVCNFSM6AAAAABINI7TU6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCMZWGE3TANRWHE . You are receiving this because you authored the thread.Message ID: @.***>