Data and Code for Meta-analysis of Host Manipulation
收藏Zenodo2026-01-30 更新2026-05-26 收录
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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



