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Data and Code for Meta-analysis of Host Manipulation

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Zenodo2026-01-30 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.17200384
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Data data_final.csv           Effect sizes with information on each observation parasite                         Parasite species or genus host                               Host species parasite_stage              Parasite developemental stage host_origin                   Host origin infection                       Infection procedure behavior_details          Details on recorded behavior/ phenotype predator_type              Type of predator present if any behavior_type              detailed behavioral categoris behavior_type1            broader behavioral categories used for analysis effect_on_predation    Expected effect on predation; 1 indcates increased predation in infected individuals, -1 indicates decreased predation in infected individuals; compared to uninfected individuals CN                                 Sample size, uninfected IN                                  Sample size infected Ntot                               total sample size CMean                          average value for uninfected Cerr                               error for uninfected IMean                           average value for infected Ierr                                error for infected mean                             type of mean error                              type of error effect_size                    value of effect size type_effect_size           effect size meassure used values_remarks            remarks on values paper_id                       unique paper identifier ref_long                        reference year                               publication year remarks                         stage_assumed             stage not entirely clear study_excluded            1= yes; 0=no exclusion_reason         categorized exclusion reson if study was excluded exclusion_reason_details    detailed exclusion reason predator_type1            broader categories for predator type used in the final analysis data_host.csv           host                               Host species genus                            Host genus family                            Host family habitat_cat                   habitat category habitat2                        additional information on habitat host_group1                 host group based on phylogeny length_cm                     host length in cm mass                              host mass life_span_mean            average host lifespan in years TL                                  trophic level data_para.csv                     host                               Host species parasite                         Parasite species or genus genus                            parasite genus family                            parasite family parasite_group             parasite group parathenic                    1= yes; 0=no encysted                       1= yes; 0=no site                                infection site dev time (days)             developemental time next host                       length                            parasite length in mm width                             parasite width in mm remarks                         data_host1.csv              File produced by add_host_para_data.Rmd; same as data_host, but proportion of trophic interactions as predator added data_out.csv                  File produced by data_preparation.Rmd; combines data_final with host and parasite data and adds effect sizes and cleans up some factors host_tree.RData & host_tree.tre Host tree generated by phylogenetic_tree.Rmd in .RData format (as used by the scripts) and in Newick format for better compatibility para_tree.RData & para_tree.tre Parasite tree generated by phylogenetic_tree.Rmd in .RData format (as used by the scripts) and in Newick format for better compatibility   Workflow and files for data analysis Data preparation      add_host_para_data.Rmd    prepares host data by adding proportion of trophic interactions; takes data_host.csv and returns data_hos1.csv data_preparation.Rmd         Calculates effect sizes and cleans up some factors and comones data on observations with host and parasite data; takes data_final, data_host1.csv and data_para.csv and returns data_out phylogenetic_tree.Rmd        takes data_out and creates phylogenetic trees for hosts and parasites used in thsi analysis; returns host_tree.Rdata and para_tree.RData Data analysis All subsequent files take data_out and  host_tree.Rdata and para_tree.Rdata as input run_auto_all.Rmd     runs the entire analysis for the full data set with all parasite stages run_auto_mat2.Rmd runs the entire analysis for the a data set with only mature parasites run_auto_imat2.Rmd            runs the entire analysis for the a data set with only immature parasites run_auto_predation_susceptibility2.Rmd  runs the entire analysis for data that directly meassures predation susceptibility only run_auto_no_outl5_all.Rmd runs the entire analysis after the removel of outliers for the full data set with all parasite stages run_auto_no_outl5_mat2.Rmd       runs the entire analysis after the removel of outliers for the a data set with only mature parasites run_auto_no_outl5_imat2.Rmd      runs the entire analysis after the removel of outliers for the a data set with only immature parasites   Custom scripts and functions         preparation and functions contain costum code and function required by the scripts mentioned above to prepare the data and run the entire analysis. These scripts expect them to be located in folders called “preparations” and “functions” respectively. preparations:  data.R final data preparations and checks prior to analysis libraries.R       loads necessary libraries plots.R             sets a theme for all plots in ggplot2 tables1.R        prepares formating for tables if they are written directly to word functions:        calc_I2_brms.R          Calculate heterogenetiy (I2) following brms models check_brms_model_v2.R            runs some diagnostics on brms models compare_brms_models1_v2.R   compares two brms models using loo_compare diagnose.R     produces diagnostic plots fro brms models funnel_plot.R, funnel3.R       produce a funnel plot get_emmean.R, get_emmean_cor2.R, get_emmean_cor2_extra1.R       obtain estimated marginal means using emmeans get_loos.R      calculate loo and svae within brms model for later use get_outls.R     obtain outliers overall_comparison_to_table.R       create a nice looking table from different compairons between brms models plot_forest.R  creates a simple forest plot plot_inter_behave_pred.R   creates a forest plot for the interaction between behavior and predator plot_single_effect_combi2.R            plot the effect of differenc factors within a model and combine plot_single_effect1.R plots the effect of a single effect in the model radnefs1.R      obtain estimates for random effects redo_fact_plot4.R     Creates final plots for factors in brms model run_brms_model1_v2.R run the actual brms model run_complete_v2.R         Combines the entire analysis; i.e. running brms models, comparing them to a less complicated model, obtaining estimated marginal means and basic plots for models of interest
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Zenodo
创建时间:
2026-01-19
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