пробел
Preprint-ready code and markdown
Этот репозиторий содержит данные и код для воспроизведения всех анализов данных о коронавирусе летучих мышей. Общедоступная версия этого набора данных с упрощенными полями доступна в репозитории datacov.
DIRECTORY
data.csv - the basic dataset
01_data processing
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├─ code_to_generate_data.csv.R - creates data.csv using three other files in the directory
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| # components of raw data that go into data.csv
├─ raw-airtable-preprocessing.csv - uncleaned data
├─ MamPhy_...._target.tre - phylogenetic tree for processing
└─ taxonomy_mamPhy_5911species.csv - mammal taxonomy metadata
02_dissolve data
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├─ script_to_generate_datasets_for_analyses.R - breaks down data.csv into smaller files for sub-analyses
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| # These are used for prevalence analyses in code_for_meta-analysis_models.R
├─ set_infection_prevalence.csv - all coronavirus records
├─ set_infection_prevalence_alphaonly.csv - alphacoronavirus only
├─ set_infection_prevalence_betaonly.csv - betacoronavirus only
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| # These are used in geophylo analysis.R and descriptive stats not dependent on proportion positive
├─ set_other.csv - all coronavirus records
├─ set_other_alphaonly.csv - alphacoronavirus only
└─ set_other_betaonly.csv - betacoronavirus only
03_analysis
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├─ code_for_meta-analysis_models.R - runs the meta-analysis
├─ code_for_figure3.R - generates visualizations from the meta-analysis
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├─ geophylo analysis.R - runs phylofactor and generates the maps and tree figures
└─ georegion.csv - geospatial metadata used for regional analyses
04_outputs
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| # some additional files that become figures or supplement
├─ Figure 1.png
├─ Figure 2.png
├─ Figure 3.png
├─ Table S3.csv
├─ Table S4.csv
├─ Table S5.csv
├─ Table S8.csv
└─ Table S9.csv