Data & code for - Hybridization may promote variation in cognitive phenotypes in experimental guppy hybrids

To test if hybridization can promote phenotypic variation in cognitive abilities, we compare the performance of guppies (Poecilia reticulata), Endler’s guppies (Poecilia wingei), and their experimental hybrids in a colour association and reversal learning tasks.In addition to analysing this data using standard cognition metrics (e.g. trials to learning criterion), we introduce a new approach to analyse and compare multidimensional cognitive phenotypes. We used Kernel Density Estimation (KDE) together with a geometric approach to quantify patterns of hybrid phenotypes and quantitatively compare phenotypic dispersion between hybrids and parentals and quantify the extent to which hybrids are transgressive and/or deviate from parental mean phenotypes.
This depository contains the datasheet that identifies the crossing group of each fish, the raw data for the associative learning and reversal learning tasks, and a processed data table containing information on the performance of the fish in both tasks (learning criterion). We also provide the R code used for all analyses and to generate the graphs presented in the manuscript.