--- title: "R" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{R} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- [![](https://www.r-pkg.org/badges/version/COVID19)](https://cran.r-project.org/package=COVID19) [![](https://cranlogs.r-pkg.org/badges/last-month/COVID19)](https://cran.r-project.org/package=COVID19) [![](https://img.shields.io/github/stars/covid19datahub/R?style=social)](https://github.com/covid19datahub/R) > The stable release of this package is hosted on [CRAN](https://cran.r-project.org/package=COVID19). The development version is available at [Github](https://github.com/covid19datahub/R). ## Quickstart Install the package: ```R install.packages("COVID19") ``` Load the package ```R library("COVID19") ``` ## Usage The only function in the package is `covid19()`. By default, the function downloads worldwide data by country: ```R x <- covid19() ``` ### Level The argument `level` specifies the granularity of the data: - 1: country-level data - 2: state-level data - 3: lower-level data Download worldwide data by state: ```R x <- covid19(level = 2) ``` ### Country The argument `country` filters the data by country. This is a vector of country names or [ISO codes](https://en.wikipedia.org/wiki/List_of_ISO_3166_country_codes) (ISO 3166-1 Alpha-2 code, Alpha-3 code, or numeric code). Download data for Italy and Unites States at county/province level: ```R x <- covid19(country = c("Italy", "US"), level = 3) ``` ### Time range The arguments `start` and `end` specify the period of interest. The data are subsetted to match this time range. Download national-level data for United States from 01 October 2021 to 01 November 2021: ```R x <- covid19("US", start = "2021-10-01", end = "2021-11-01") ``` ### Vintage The parameter `vintage` allows to retrieve the snapshot of the dataset that was available on the given date. This typically differs from subsetting the latest data, as most governments are updating the data retroactively. Available since 14 April, 2020. Retrieve the data that were available on 15 May, 2020: ```R x <- covid19(vintage = "2020-05-15") ``` ### Download folder The argument `dir` specifies the folder where the data files are to be downloaded. By default this is a temporary folder. Download the files in the folder `data`: ```R dir.create("data") x <- covid19(dir = "data") ``` ### World Bank Open Data Country-level covariates by [World Bank Open Data](https://data.worldbank.org/) can be added via the argument `wb`. This is a character vector of indicator codes to download. The codes can be found by inspecting the corresponding URL. For example, the code of the indicator "Hospital beds (per 1,000 people)" available at https://data.worldbank.org/indicator/SH.MED.BEDS.ZS is `SH.MED.BEDS.ZS`. The indicators are typically available at a yearly frequency. This function returns the latest data available between the `start` and the `end` date. See the table at the bottom of [this page](https://datatopics.worldbank.org/universal-health-coverage/coronavirus/) for suggested indicators. Example using GDP and number of hospital beds: ```R x <- covid19(wb = c("gdp" = "NY.GDP.MKTP.CD", "hosp_beds" = "SH.MED.BEDS.ZS")) ``` ### Google Mobility Reports Mobility data by [Google Mobility Reports](https://www.google.com/covid19/mobility/) can be added via the argument `gmr`. This is the link to the Google "CSV by geographic area" ZIP folder. At the time of writing, the link is https://www.gstatic.com/covid19/mobility/Region_Mobility_Report_CSVs.zip. As the link has been stable since the beginning of the pandemic, the function accepts `gmr=TRUE` to automatically use this link. ```R x <- covid19(gmr = TRUE) ``` ### Apple Mobility Reports Mobility data by [Apple Mobility Reports](https://covid19.apple.com/mobility) can be added via the argument `amr`. This is the link to the Apple "All CSV data" file. This link is changing constantly. Consider downloading the data file from the website first, and then set `amr="path/to/file.csv"`. Since v3.0.1 of the package, if `amr=TRUE` is provided, the function tries to detect the latest URL from [this endpoint](https://covid19-static.cdn-apple.com/covid19-mobility-data/current/v3/index.json). ```R x <- covid19(amr = TRUE) ``` ## Reference manual - https://cran.r-project.org/package=COVID19/COVID19.pdf ## Star the repo Star `r gsub("^# ", "## ", readr::read_file('../LICENSE.md'))`