| covid {betaBayes} | R Documentation |
COVID-19 County Level Data
Description
A county level COVID-19 dataset in US. It is of interest to examine the association between several county-level characteristics and the cumulative numbers of confirmed cases and deaths. County-level characteristics are based on the 2018 ACS 5-year estimates.
Usage
data(covid)
Format
| FIPS: | FIPS county code |
| PopE: | total population |
| MaleP: | percentage of people who are male |
| WhiteP: | percentage of people who are white |
| BlackP: | percentage of people who are black or African American |
| Age65plusP: | percentage of people who are 65 years and over |
| PovertyP: | percentage of people whose income in the past 12 months is below poverty |
| RUCC_2013: | 2013 Rural Urban Continuum Code, with a higher value indicating a more rural county |
| State: | two-letter state abbreviation code |
| deaths: | cumulative number of deaths as of October 13, 2020 |
| cases: | cumulative number of confirmed cases as of October 13, 2020 |
Examples
data(covid)
head(covid)
[Package betaBayes version 1.0.1 Index]