All the R Functions

This provides R functions to aid analysis of selection. They were written fairly generically so should be easy to utilize in your research

Stickleback cognition_zipped data files and metadata files

A zipped collection of two data files, two metadata files, and R code. All data and code are included that would be required to recreate the tables and figures in Minter, Keagy, and Tinghitella 2017

Stickleback Male Competition Dataset

This zipped file contains both the data file (Stickleback Male Comp Data.csv) and metadata explaining the data columns (Stickleback Male Comp Metadata.csv)

Supplementary figure 1 from Parenting behaviour is highly heritable in male stickleback

Simulation of stochastic variation from sampling error. In a separate study, we recorded the behavior of one male for one hour on Day 5 and then sampled at 5-minute intervals, which allowed us to calculate for each 5-minute sample the deviation from the proportion of time fanning occurred across the entire hour. We used these data to simulate deviations that may occur due to sampling error and added these deviations to each data point, under the condition that fanning was not allowed to be less than 0 or greater than 300 seconds. We then recalculated the heritability estimate from the animal model. This was then repeated 1,000 times to give a range of heritability estimates expected if the deviations were as large as those observed in our 11 five-minute sessions. The distribution of heritability estimates is displayed as a histogram. The heritability estimate from the actual data presented in the paper is indicated by the red vertical dashed line

README.txt

README file for Dryad Digital Repository files associated with Keagy, J., Lettieri, L., and Boughman, J.W. 2015. “Male competition fitness landscapes predict both forward and reverse speciation”. Ecology Letters