Aloha all,

Well if all youʻre doing is plotting data, then sure, you can have a change
of axes and something in g will still be in g with log-transformed axes.

But does this apply to fitting models of BM or OU? The model is assuming
that the "errors" or the small jumps in phenotype comes from a normal
distribution.  So by fitting a model on log-transformed data will assume
that those changes come from a different distribution, on log(g). This has
potentially deep implications, suggesting that the magnitude of the changes
in the original scale would be larger for large values of g that for small
values of g when on a log-scale. That would imply basically that itʻs
easier to get a lot larger or a lot smaller in a single step if youʻre
already big. This might make sense especially for genome size evolution,
for example, where big changes in size arise by chromosomal duplication or
transposable element activity, etc. Anyway, log-transformation is commonly
applied to biological data.

As for the units of time, yes I agree with Joe - it is the units that the
depth of the tree is in. If it is time calibrated, then it is time.
Otherwise it is generally mutations per branch length.

Marguerite



On Fri, Mar 19, 2021 at 2:20 PM Joe Felsenstein <j...@gs.washington.edu>
wrote:

> Marguerite asked:
>
> > First - Joe - what do you mean by log(grams) has no units? The units of
> grams is a unit, so log(mass) will have units of log-gm.  As log is not the
> same as 1/gm, log(gm) cannot be unit-free.
>
> I looked it up on Wikipedia, and was assured by it that Marguerite is
> right, log(weight) has the same units as weight, except you're
> supposed to call them log-gm.
>
>
> I do think that unless there is a calibration with time, the tree
> branch lengths are not in units of time but in units of base
> substitutions per site.
>
> And I remain confused on what the units are, if you compute a linear
> combination such as  2 log(wt) - 3 log(height). Which princip[al, le]
> components machinery does.
>
> Joe
> ------
> Joe Felsenstein         felse...@gmail.com,  j...@gs.washington.edu
>  Department of Genome Sciences and Department of Biology,
>  University of Washington, Box 355065, Seattle, WA 98195-5065 USA
>


-- 
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Professor

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