Comments (3)
Hi Sally!
That is great news! I will run these this weekend. So, just to confirm, the PGLS formula I would specify is:
branchLength ~ latitude + numberOfNodes
to control for node density effect?
Jacqueline
from evolutionary-rates-analysis-pipeline.
Dear Jacqueline,
That would be great - thank you for running these analyses in the near future. If you like, I can also do one or both of the runs on my laptop so we don't tie up your computer on this.
Yes, I agree with you that we should control for the number of nodes. As well, we should keep in mind that the statistical tests performed by the sister pipeline are different. We were seeking pairs differing in latitude. Here, by contrast, we would be treating latitude as a continuous variable. The data in the present form would be:for each BIN, median of the absolute value of the latitudes for the records within the BIN. For PGLS, I suggest look at a histogram of this variable. We should consider whether a data transformation is needed to make this suitable for parametric statistical analysis.
Thank you very much.
Best wishes,
Sally
from evolutionary-rates-analysis-pipeline.
This issue was moved to jmay29/lat-project#3
from evolutionary-rates-analysis-pipeline.
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