Simulated dataset from 'Quantifying the causal pathways contributing to natural selection'
DOI10.5281/zenodo.4019924Zenodo4019924MaRDI QIDQ6696277
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 18 September 2020
This dataset (Antechinus.csv) relates to the worked example in the appendix of the paper: Henshaw JM, Morrissey MB, Jones AG (2020). Quantifying the causal pathways contributing to natural selection. Evolution (doi:10.1111/evo.14091) The worked example concerns a hypothetical study of female antechinus. These are small carnivorous marsupials that use torpor to reduce energy consumption from late summer to early winter. They reproduce once per year in late winter or early spring, following which most individuals die. We suppose that researchers tracked female antechinus from mid summer to the end of the breeding season. They recorded the animals' body size, their date of last torpor, whether they survived to breed, their number of mates, and their fecundity. I simulated the dataset resulting from this hypothetical study in Wolfram Mathematica (see Methods below). In the above paper, we analyse the causal structure of natural selection in this dataset (the R code for the causal analysis is included here as 'AntechinusAnalysis.R'). The variables in the dataset are: body size in unspecified units (BodySize); the date of last torpor (TorporDate), standardized as the number of days before/after an unspecificed reference date; whether the individual survived to breed, given as a binary variable (Survival); an individual's number of mates (Mates); and her fecundity (Fecundity).
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