Data from: Challenges of mismatching timescales in longitudinal studies of collective behaviour

Datasets and R scripts for the analysis in Ogino M, Strauss E, Farine D. 2022. Challenges of mismatching timescales in longitudinal studies of collective behaviour (doi.org/10.1098/rstb.2022.0064). <br> <br> 20201001_20201031, 20201101_20201130, 10101201_20211231, 20210101_20210131, 20210201_20210228, 20210301_20210331: files containing daily averaged GPS pairwise distance between males for each month <br> Seasons_Monthly.csv: dataset containing the metadata for each sampling periods <br> Census.Rdata: dataset (list) with dataframes for individual metadata (data$Birds) and census observation data (data$ind_obs, data$grp_obs). The grp_obs dataframe contains the metadata for the ind_obs dataset. <br> Script1_GroupDetection.r: code to detect group memberships over time, using different approaches <br> Script2_GPSpairwisedistance.R: code to produce the boxplot showing averaged GPS pairwise distances within detected communities and GLM to quantify how methodological processes applied in different approaches drive differences in cohesiveness of detected groups. This code requires the outputs of Script1. <br> Script3_GroupSize.R: code to produce the boxplots showing the distribution of detected social unit sizes and Jaccard similarity between social units in consecutive sampling periods, and GLM to quantidy how methodological processes drive differences in group size and Jaccard similarity. This code requires the outputs of Script1 and Script2.