I agree that it is almost certainly numerical precision, as rescaling the tree 
fixes things:

> is.ultrametric(phy);
[1] FALSE
> fie <- phy;
> fie$edge.length <- fie$edge.length * 0.1;
> is.ultrametric(fie);
[1] TRUE

I’ve also tested the ultrametricity(?) with a non-R program and the results are 
the same. So can we assume this is not a PhyloBayes issue, and rather an 
unavoidable problem with large, old trees? But the fact that MrBayes trees are 
ultrametric is confusing; does MrBayes use less precise edge lengths?

JWB
________________________________________
Joseph W. Brown
Post-doctoral Researcher, Smith Laboratory
University of Michigan
Department of Ecology & Evolutionary Biology
Room 2071, Kraus Natural Sciences Building
Ann Arbor MI 48109-1079
josep...@umich.edu



> On 16 Aug, 2016, at 08:53, Liam J. Revell <liam.rev...@umb.edu> wrote:
> 
> Hi Martin.
> 
> Since you are writing & reading trees to file, my guess is that it has to do 
> with numerical precision - that is, the rounding of your edge lengths when 
> they are written to file.
> 
> Does your tree look ultrametric when plotted in R? If so, this is probably 
> the case.
> 
> My recommendation is that you use phangorn to compute the non-negative 
> least-squares edge lengths with the condition that the tree is ultrametric. 
> This will give you the edge lengths that result in the distances between taxa 
> with minimum sum of squared differences from the distances implied by your 
> input tree, under the criterion that the resulting tree is ultrametric.
> 
> To do this you need to merely run:
> 
> library(phytools)
> library(phangorn)
> is.ultrametric(tree) ## fails
> plotTree(tree,ftype="off") ## does my tree look ultrametric?
> nnls<-nnls.tree(cophenetic(tree),tree,rooted=TRUE)
> is.ultrametric(tree) ## should pass
> 
> Let us know if this works. All the best, Liam
> 
> Liam J. Revell, Associate Professor of Biology
> University of Massachusetts Boston
> web: http://faculty.umb.edu/liam.revell/
> email: liam.rev...@umb.edu
> blog: http://blog.phytools.org
> 
> On 8/16/2016 6:41 AM, Martin Dohrmann wrote:
>> Hi,
>> I want to do some diversification pattern analyses with various R packages. 
>> I'm using a time-calibrated tree produced by PhyloBayes. Branch lengths are 
>> in millions of years and all taxa are extant, so the tree should be 
>> ultrametric. However, when I call "is.ultrametric", it returns "FALSE".
>> 
>> Has anybody encountered something like this? Any ideas about what's going 
>> on/how to solve this?
>> 
>> Some further information:
>> I also tried other PhyloBayes time trees, with the same result. In contrast, 
>> MrBayes time trees I tried for comparison are recognized as ultrametric. 
>> Regarding my diversification analyses, TESS would not run, telling me "The 
>> likelihood function is only defined for ultrametric trees!". On the other 
>> hand, BAMMtools doesn't seem to have a problem with my tree. I haven't tried 
>> other packages yet, but I suspect RPANDA, TreePar etc. might also have 
>> issues if they don't recognize my tree as ultrametric.
>> 
>> I'd appreciate any help!
>> 
>> Best wishes,
>> Martin
>> 
>> Dr. Martin Dohrmann
>> Ludwig-Maximilians-University Munich
>> Dept. of Earth & Environmental Sciences
>> Palaeontology & Geobiology
>> Molecular Geo- & Palaeobiology Lab
>> Richard-Wagner-Str. 10
>> 80333 Munich, Germany
>> Phone: +49-(0)89-2180-6593
>> 
>> 
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>> 
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> 
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