Data from: Estimating the variation, autocorrelation, and environmental sensitivity of phenotypic selection

Luis-Miguel Chevin, Marcel E. Visser & Jarle Tufto
Despite considerable interest in temporal and spatial variation of phenotypic selection, very few methods allow quantifying this variation while correctly accounting for the error variance of each individual estimate. Furthermore, the available methods do not estimate the autocorrelation of phenotypic selection, which is a major determinant of eco-evolutionary dynamics in changing environments. We introduce a new method for measuring variable phenotypic selection using random regression. We rely on model selection to assess the support for...
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