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). 20201001_20201031, 20201101_20201130, 10101201_20211231, 20210101_20210131, 20210201_20210228, 20210301_20210331: files containing daily averaged GPS pairwise distance between males for each month Seasons_Monthly.csv: dataset containing the metadata for each sampling periods Census.Rdata: dataset (list) with dataframes for individual metadata (data$Birds) and census observation data (data$ind_obs, data$grp_obs). The grp_obs dataframe contains the metadata for the ind_obs dataset. Script1_GroupDetection.r: code to detect group memberships over time, using different approaches Script2_GPSpairwisedistance.R: code to produce the boxplot showing averaged GPS pairwise distances within detected communities and GLM to quantify how methodological processes applied in different approaches drive differences in cohesiveness of detected groups. This code requires the outputs of Script1. Script3_GroupSize.R: code to produce the boxplots showing the distribution of detected social unit sizes and Jaccard similarity between social units in consecutive sampling periods, and GLM to quantidy how methodological processes drive differences in group size and Jaccard similarity. This code requires the outputs of Script1 and Script2.本数据集及配套R脚本用于Ogino M、Strauss E与Farine D于2022年发表的《集体行为纵向研究中时间尺度不匹配的挑战》（doi.org/10.1098/rstb.2022.0064）一文的分析工作。以下文件分别包含对应月份内雄性个体间的每日平均GPS成对距离：20201001_20201031、20201101_20201130、10101201_20211231、20210101_20210131、20210201_20210228、20210301_20210331。Seasons_Monthly.csv：包含各采样时段元数据的数据集。Census.Rdata：以列表（list）格式存储的数据集，内含存储个体元数据的数据框data$Birds，以及普查观测数据data$ind_obs与data$grp_obs；其中grp_obs数据框为ind_obs数据集提供元数据支撑。Script1_GroupDetection.r：用于通过多种方法识别随时间动态变化的群体归属的代码。Script2_GPSpairwisedistance.R：用于生成展示已识别社群内平均GPS成对距离的箱线图，并构建广义线性模型（Generalized Linear Model）以量化不同分析方法的处理流程如何驱动已检测群体的凝聚性差异的代码。本脚本依赖Script1的输出结果。Script3_GroupSize.R：用于生成展示已识别社会单元规模分布的箱线图，以及连续采样时段内社会单元间雅卡尔相似度（Jaccard Similarity）的代码，并构建广义线性模型以量化分析方法流程如何导致群体规模与雅卡尔相似度的差异。本脚本依赖Script1与Script2的输出结果。