View source: R/cov_glue_lineage_data.R
cov_glue_snp_lineage | R Documentation |
This function maps lineage name to snps and to taxon names. Everything is GISAID-specific.
cov_glue_snp_lineage()
a data.frame
cov_glue_lineage_data(), cov_glue_newick_data()
Other lineage:
cov_glue_lineage_data()
,
cov_glue_newick_data()
Other data-import:
acaps_government_measures_data()
,
acaps_secondary_impact_data()
,
apple_mobility_data()
,
beoutbreakprepared_data()
,
cci_us_vaccine_data()
,
cdc_aggregated_projections()
,
cdc_excess_deaths()
,
cdc_social_vulnerability_index()
,
coronadatascraper_data()
,
coronanet_government_response_data()
,
cov_glue_lineage_data()
,
cov_glue_newick_data()
,
covidtracker_data()
,
descartes_mobility_data()
,
ecdc_data()
,
econ_tracker_consumer_spending
,
econ_tracker_employment
,
econ_tracker_unemp_data
,
economist_excess_deaths()
,
financial_times_excess_deaths()
,
google_mobility_data()
,
government_policy_timeline()
,
jhu_data()
,
jhu_us_data()
,
kff_icu_beds()
,
nytimes_county_data()
,
oecd_unemployment_data()
,
owid_data()
,
param_estimates_published()
,
test_and_trace_data()
,
us_county_geo_details()
,
us_county_health_rankings()
,
us_healthcare_capacity()
,
us_hospital_details()
,
us_state_distancing_policy()
,
usa_facts_data()
,
who_cases()
res = cov_glue_snp_lineage() res colnames(res) dplyr::glimpse(res)
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