Hi all,

This sounds like a potential interesting use for reduced major axis
analysis, no?

Best,
Ricardo Araújo
www.paleomoz.org
<https://streaklinks.com/A92nz3nu7mdYqR-GrQmTz0Ft/http%3A%2F%2Fwww.paleomoz.org%2F>

ᐧ

On Fri, Mar 11, 2022 at 4:24 PM Romain David <r.da...@nhm.ac.uk> wrote:

> Dear Alejandro,
>
> Thank you for your reply. If I understand correctly, this issue arises
> because I use PGLS regression, whereas I should use a correlation test.
> Then I have a question. Is this correct to jointly estimate Pagel's lambda
> on x and y, compute the PICS using the modified tree and calculate the
> correlation between the PICS?
>
> As a note, for theoretical reasons I expect these two parameters to be
> correlated, and therefore I was a bit puzzled by the two different results
> I got.
>
> Best,
>
> Romain
> ________________________________
> From: Alejandro Gonzalez Voyer <alejandro.gonza...@iecologia.unam.mx>
> Sent: 10 March 2022 17:16
> To: Romain David <r.da...@nhm.ac.uk>
> Cc: R-phylo Mailing-list <r-sig-phylo@r-project.org>
> Subject: Re: [R-sig-phylo] Interpretation of Y~X vs. X~Y and estimation of
> Pagel's Lambda using PGLSR
>
> Hello Romain,
>
> Your question has to do with the difference between a correlation, which
> is symmetrical in the sense that the correlation between x and y is the
> same as that between y and x, and a regression analysis which is not
> symmetrical, as you show with the results which cause you some concern.
> Although PGLS analyses are to be interpreted as associations (or
> correlations) between traits (given there is no way to “know” whether there
> is indeed a causal relationship, see e.g. Martins 2000 among others),
> mathematically they are fit as a linear model (a regression analysis),
> where the difference with traditional OLS is that a degree of covariance in
> the residuals is estimated by a given evolutionary model. Thus, the
> analysis is asymmetrical and a decision, a priori, must be taken by the
> researcher as to which variable is deemed to be the response and which is
> the predictor, even though associations cannot be interpreted as causal.
>
> Cheers
>
> Alejandro
> _______________________________________________
> Dr Alejandro Gonzalez Voyer
> Investigador Titular B
>
> Coordinación de Docencia y Formación de Recursos Humanos
> Instituto de Ecología
>
> Laboratorio de Conducta Animal
> Instituto de Ecología
> Circuito Exterior S/N
> Ciudad Universitaria
> Universidad Nacional Autónoma de México
> México, D.F.
> 04510
> México
>
> Tel: +52 55 5622 9044
> E-mail: alejandro.gonza...@iecologia.unam.mx<mailto:
> alejandro.gonza...@iecologia.unam.mx>
>
> Web Site:
> https://uk01.l.antigena.com/l/TTMJvOPtnUfbtSnveKCJTcfVemCxSYgvypa2pfttyL8g9xLbeB2b9iAUjxU8jWnbP02yy68t7iTMUxUAJe3hAHPddWk87Web2EkCjbkaMKk7Ik82Wn82bA80IUbjWmdddd
>
>
> On 10 Mar 2022, at 4:32, Romain David <r.da...@nhm.ac.uk<mailto:
> r.da...@nhm.ac.uk>> wrote:
>
> Dear all,
>
> I am running into an issue with the interpretation of two regressions
> using PGLSR. Using the same sample, when I regress Y on X, I get a p-value
> of 0.10 and a lambda of 0.9. However, when I regress X on Y, I get a
> p-value << 0.001 and a lambda of 0.2. See the attached graphs. It seems
> that it has to do with the estimation of lambda and the peculiar
> phylogenetic distribution and spread of the residuals (e.g. grey dots vs.
> yellow dots). Would you interpret that these two variables are related? Is
> there a way to estimate a "joint" lambda so the two regressions are
> reciprocal?
>
> Thank you very much.
>
> Romain
> <RsigPhylo_Example.jpg>_______________________________________________
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