DOI: 10.5061/dryad.gqnk98sn6
title: Charlie Bucket effect datasets

description: Data used in the article One but not two grandmothers increased child
 survival in poorer families in west Bohemian population Human childrearing
 is characterized by cooperative care and grandmothers are usually the most
 prominent alloparents. Nevertheless, it has been argued that limited
 resources may intensify competition among kin. The effect of grandmothers’
 presence on child survival may thus crucially depend on the family’s
 socioeconomic status. We evaluate the impact of grandmothers’ presence on
 child survival using a large historical dataset from eighteenth to
 nineteenth-century western Bohemia (N = 6880) and assess the effects of
 socioeconomic status. We employed a varying effects model conditioned on
 relatedness between individuals because of possible genetically
 transmitted benefits. Proportional hazards showed that grandmothers had
 little or no impact on child survival in families of high and medium
 socioeconomic status (farmers and cottagers, respectively), while in
 families with the lowest socioeconomic status (lodgers), grandmothers’
 presence increased the survival probability of children up to five years
 of age. The beneficial effect of grandmaternal care was strongest between
 the first and second year of life. Importantly, though, in families with
 low socioeconomic status, we also observed lower survival chances of
 children when both grandmothers lived in the same village. These findings
 suggest that the balance between kin cooperation in childrearing and
 competition over resources may depend on resource availability.
description: The data were digitalized from historical curch records by a
 group of experts led by Alice Velková. The parent-children pairs were
 identified on the basis of names, residence sites and dates of
 births/deaths. Incomplete or corrupted data were excluded. Details can be
 found in the manuscript or on a GitHub page: https://github.com/costlysignalling/CharlieBucket<br> See attached scripts for the complete analysis and data handling record.
description: Code and data used in the analysis of grandmaternal presence and
 gradchild survival in West Bohemia 18-19th century. You can fit the model
 from <strong>02_Model_MCMC.R</strong>, if you are interested
 in how data is handeled, check
 <strong>01_data_handle_by_month.R</strong>. This script
 sources additional code from
 <strong>00_arrange_data_sample.R</strong>. The model is
 summarized and the results are visualized using
 <strong>03_visualizations_and_summary.Rmd</strong>. In any
 case it is advisable to start the anlysis from the
 <strong>final.Rproj</strong> project file that sets the
 essentials like working directory and encoding.<br> <br>
 <strong>source_data.txt</strong> contains crucial information
 about the studied children.<br>
 <strong>pedigree_data.txt</strong> contains the relatedness
 information about the whole population that can be used to construct the
 relatedness matrix.<br> <strong>key_places.txt</strong>
 contains information about residences and tolerated forms of settlement
 names in the dataset.<br> <strong>distances.txt</strong>
 contains a distance matrix of the settlements based on current GPS data.
 <strong>source_data.GM.txt</strong> is an extra file that
 contains additional information on grandmothers. This is used only to
 calculate descriptive statistics about the grandmothers.<br>
 <strong>complete_families</strong> is an additional,
 differently structured dataset, that contains data on reconstructed
 families, where all children were identified. This was used to calculate
 descriptive statistics by families (total number of children, the onset of
 reproduction etc.) Each person in the database is assigned a unique code,
 so information on a single person can be stored in more than one
 dataset. All data files contain tab-separated
 values.