I want to compute Ornstein-Uhlenbeck models using the OUwie() function in R. For this I'm using a set of 100 phylogenetic trees, so that each tree goes into one OUwie model, resulting in 100 models.
The output of the OUwie gives estimates for a trait optimum and according SE.
Now I want to describe this output over all 100 trees. For the estimates it's easy to simply give the average value, but as the standard error depends on the sample, I'm not sure if I can give the mean, or if I should give a range or if there is another (mathematically correct) way to communicate the information I get out of these models.
Article Modeling stabilizing selection: Expanding the Ornstein-Uhlen...
Dear Friederike Wölke
Have a look: https://stats.stackexchange.com/questions/389916/average-standard-errors-of-multiple-samples
Kind Regards
Qamar Ul Islam
https://www.researchgate.net/post/How-to-propagate-errors-upon-averaging-measurements-of-the-same-quantity
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