This repo contains the data file, processing and analysis scripts behind "Foraging complexity and the evolution of childhood" (Pretelli, Ringen, and Lew-Levy, 2022).
paper_data and paper_data_round2 folders contain the raw data (including tables and screenshots of plots) extracted from studies, as well as R scripts to clean those individual chunks of foraging data. processing.R wrangles all of the data from individual studies (as well as child foraging returns from cchunts and then produces the integrated dataset used in our analysis, simply called data.csv.
| Column | Description |
|---|---|
| study | id for source study; first author lastname_yearpublished |
| outcome | id for foraging return outcomes, nested within study |
| id | individual forager id, where applicable |
| sex | 0 = f, 1 = m. values between 0 and 1 indicate prop m |
| age | forager age, best estimate |
| age_error | type of measurement error on forager age |
| age_sd | std error of age |
| age_lower | lower bound of age |
| age_upper | upper bound of age |
| resource | type of food resource |
| units | reported quantity/rate (e.g., kg, kcal/h) |
| raw_return | child return quantity |
| raw_sd | child return std. dev (when given as summary stat) |
| raw_se | child return SE (when given as summary stat) |
| adult_return | matched adult mean return |
| adult_sd | adult return std. dev |
| adult_se | adult return SE |
model_fitting.R fits the Stan program in the stan_models folder and then saves the fitted object for future use, so that it only needs to be run once. Results are visualized using scritps in the plots folder. cfr_functions.R contains convienience functions and code snippets to support working with the fitted stan model and making plots.
LaTeX code behind the manuscript and supplementary materials is stored in the text folder.