Aloha Gabriel,
Joe and Graham have given you very good advice. I just wanted to chime in
to reinforce the point that you should not apply a "phylogenetic
correction" twice on the same set of data!  If youʻve removed the expected
covariance, it is good for an ordinary ANOVA. If you do a phylogenetic
ANOVA that again accounts for phylogenetic covariance, you will INTRODUCE
phylogenetic variance structure into your data.  I really canʻt imagine a
situation that would call for a double accounting of phylogenetic
covariance.

If all youʻre doing is calculating shape variables, why not just take the
ratio with size (SVL)? If it is a mass-dependent trait you can take the
log-ratio with mass (you can divide by 3 if you like but at this point it
is linear). Mass is ~ SVL^3, so you can come up with some rationale. Ratios
are easily interpretable and are not evil, just make sure you donʻt have
severe skew. Usually within a taxonomic group the range of variation is not
that big, so you donʻt have a problem.

Alternatively, you could create shape variables by pgls and then do an
ordinary ANOVA.
Alternatively, you could do OU models such as implemented in OUCH or OUwie
or mvMorph.

Option 1:
pgls - residuals  ->  ordinary ANOVA

Option 2:
regression residuals or ratios -> phylogenetic ANOVA or OU methods

Option 3:
phylogenetic ancova, with size as a covariate.

Marguerite

On Thu, May 27, 2021 at 3:42 PM Graham Slater <[email protected]> wrote:

> I might well be missing something but I think, Gabriel, that you do not
> need to compute any residuals to do what you want to do. In your tail
> length example, you perform a phylogenetic regression to get a
> size-standardized tail length - in this case, the residuals of your pgls
> model. That all makes sense because tail length is expected to vary as a
> function of size but you're interested in the residual variation and
> what explains that. I don't think you care about "correcting for
> phylogeny" at this point in general terms though - you are only
> including phylogeny to get the appropriate evolutionary regression for
> tail~body size from which to  compute tail length residuals. For your
> ratio traits, there is (probably) no meaningful expectation of allometry
> and so there is no need to do this. You can plug these variables
> directly into a phylogenetic ANOVA or macroevolutionary model and
> estimate the appropriate parameters.
>
> Regarding standard errors, most model-fitting functions (fitContinuous,
> mvMorph, OUwie etc) allow you to include a measurement error term, which
> just gets tacked on to the diagonals of the model-transformed
> phylogenetic covariance matrix. It is good to do so, especially when
> fitting OU models.  Phylogenetic ANOVA (a la Garland et al.) uses
> simulation to generate a null distribution of F-statistics to which the
> result of an ordinary ANOVA is compared, so I don't see a
> straightforward way of including standard errors there. A more direct
> approach might be to use a phylogenetic Bayesian multi-level model, as
> implemented in brms or mcmcglmm, where all observations are included and
> species identity is treated as an effect.
>
>
> I've probably missed something, but I hope this helps...
>
>
> Graham
>
> --
>
> Graham Slater [he/him/his]
> Department of the Geophysical Sciences, University of Chicago
> [email protected]
> (773) 702 0249
> http://www.fourdimensionalbiology.com
>
> On 5/27/21 8:08 PM, Joe Felsenstein wrote:
> > Gabriel Ferreira explained:
> >
> >
> >> I will try to better explain my problem, and I really appreciate your
> time
> >> to help me with this issue.
> >> My study is a conventional ecomorph with linear and univariate
> >> measurements....
> >>
> >> So... Some of my traits are linear measures that can and must be
> >> "corrected" by body size, such as tail length. I usually conduct such
> body
> >> size corrections with phylogenetic regressions using *gls *func. from
> >> *nlme*:
> >>
> > .... lots of details ...
> >
> >
> >> So I could use the residuals of this regression in the phy ANOVAs ...
> Does
> >> it make sense?
> >>
> >
> > Well, I am afraid I am lost.  Perhaps someone else here could explain the
> > issues to me ...
> >
> >
> > Joe
> > ------
> > Joe Felsenstein         [email protected],  [email protected]
> >   Department of Genome Sciences and Department of Biology,
> >   University of Washington, Box 355065, Seattle, WA 98195-5065 USA
> >
> >       [[alternative HTML version deleted]]
> >
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Professor

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