I redid the tree likelihoods as the likelihood for each tree on the full data matrix, and the plot now is a lot more informative. It turns out that using the summed locus likelihoods was, as I was concerned, giving a falsely linear relationship. The conclusion now is the same -- no obvious secondary tree out there in this dataset -- but with different islands of trees each having a separate distribution of likelihood scores:
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Tree likelihood based on summed loci Including only loci that have a minimum of 20 unique trees, overall likelihood range of 4, and selecting supporting vs. disfavoring loci based on a 2-lnL point threshold. |
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Tree likelihood based on full data matrix Including only loci that have a minimum of 20 unique trees, overall likelihood range of 4, and selecting supporting vs. disfavoring loci based on a 2-lnL point threshold. |
RADami now builds and installs fine on Linux and Windows (8.1; I assume no problems on older windows).
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