com.batgap
Preprint-ready code and markdown
يحتوي هذا المستودع على بيانات وأكواد لإعادة إنتاج جميع تحليلات بيانات فيروس كورونا الخفافيش. تتوفر نسخة عامة من مجموعة البيانات هذه مع حقول مبسطة في مستودع 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