Open willpearse opened 8 years ago
Wow, you are fast! Thanks for adding some of this in!
VPD is easy to code (e.g. var(dis[lower.tri(dis)]); weighted var for VPDab). SES I have not considered at all, and might need to think on for a bit.
...with some debate about whether to put in the sub-categories (as switches?):
� branch lengths � pairwise distances � nearest � ...etc� I could go either way on this. It�s probably not necessary, but if its easy, maybe.
Let me know if I can do anything to help.
C
On Jan 15, 2016, at 1:09 PM, Will Pearse notifications@github.com wrote:
The main ones:
� richness � divergence � regularity ...with some debate about whether to put in the sub-categories (as switches?):
� branch lengths � pairwise distances � nearest � ...etc... This will also mean you need to add VPD (Variance in Phylogenetic Distance) as a metric. Have a quick think about the SES for that, which I sense might not be trivial...
� Reply to this email directly or view it on GitHub.
...well, call me fast when I've written the code :D
I don't think the subsets would be hard, so I might do it anyway with the default being to just whack everything out!
...and add PSC, Will, which I can't believe you've left out!
The main ones:
...with some debate about whether to put in the sub-categories (as switches?):
This will also mean you need to add VPD (Variance in Phylogenetic Distance) as a metric. Have a quick think about the SES for that, which I sense might not be trivial...