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covid19india
is designed while working with data on
COVID-19 in India. covid19india.org is a data
resource with APIs available. It is updated daily and provides count,
testing, and vaccine data at the national, state, and district level.
This package eases the process for R users to obtain data ready for
analysis in hopes of democratizing data science and speed up public
health research.
:warning: The package is under active development. :warning: After creating functions for pulling data, additional functions to calculate basic public health metrics and data visualizations will be added.
Please share thoughts and comments with me: mmsalva@umich.edu or 🐦 @MaxSalTweets
# Install the CRAN version
install.packages("covid19india")
# Or the development version from GitHub:
# install.packages("remotes")
::install_github("maxsal/covid19india") remotes
tidyverse
syntax to
data.table
data.table
for speed and reduced
dependenciesThis is a basic example which shows you how to solve a common problem:
# remotes::install_github("maxsal/covid19india", dependencies = TRUE)
library(covid19india)
# load data from covid19india.org -----------
<- get_nat_counts()
nat_count <- get_state_counts()
state_count <- get_state_tests()
state_tests <- get_state_vax()
state_vax
# estimate r0 ----------
get_r0(nat_count)
get_r0(state_count)
data.table
backend.
Improved performance on the order of 4x to 18x. Fewer dependencies.
Removed dependencies on R 4.1+ and data.table development version 1.14.3
from earlier version of dev0.1.4.covid19india
on CRAN @ https://cran.r-project.org/package=covid19indiaget_all_data()
function to pull state and national level time-series count, testing,
and vaccine dataget_district_counts()
function to pull district-level time-series count dataget_r0
function to
handle different input variable namesThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.