# install the package
install.packages("COVID19")
# load the package
library("COVID19")
See the full documentation by typing ?covid19
# Worldwide data by country
x <- covid19()
# Worldwide data by state
x <- covid19(level = 2)
# Specific country data by city
x <- covid19(c("Italy","US"), level = 3)
The dataset can be extended with World Bank Open Data via the argument wb
, a character vector of indicator codes. The codes can be found by inspecting the corresponding URL. For example, the code of the GDP indicator available at https://data.worldbank.org/indicator/NY.GDP.MKTP.CD is NY.GDP.MKTP.CD
.
wb <- c("gdp" = "NY.GDP.MKTP.CD", "hosp_beds" = "SH.MED.BEDS.ZS")
x <- covid19(wb = wb)
The dataset can be extended with Google Mobility Reports via the argument gmr
, the url to the Google CSV file. At the time of writing, the CSV is available at:
gmr <- "https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv"
x <- covid19(gmr = gmr)
The dataset can be extended with Apple Mobility Reports via the argument amr
, the url to the Apple CSV file. At the time of writing, the CSV is available at:
amr <- "https://covid19-static.cdn-apple.com/covid19-mobility-data/"
amr <- paste0(amr, "2015HotfixDev10/v3/en-us/applemobilitytrends-2020-08-24.csv")
x <- covid19(amr = amr)
Data sources are stored in the src
attribute.
s <- covid19cite(x)
View(s)