In RicoZong/covid19Canada: Canada Covid-19 Infection and Vaccination Data Analysis

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

covid19Canada

Description

covid19Canada is an R package to demonstrate and further analyzes Canadian COVID-19 infection and vaccination information extracted from covid19.analytics package. This includes the main components: DESCRIPTION, NAMESPACE, man subdirectory and R subdirectory. Additionally, licence, README and subdirectories vignettes, tests, data and inst are also explored. The package was developed using R version 4.1.1 and Mac platform.

Installation

To install the latest version of the package:

require("devtools")
devtools::install_github("RicoZong/covid19Canada", build_vignettes = TRUE)
library("covid19Canada")

To run the Shiny app:

runcovid19Canada()

Overview

ls("package:covid19Canada")
data(package = "covid19Canada") # optional

covid19Canada contains 3 functions to demonstrate and further analyzes Canadian COVID-19 infection and vaccination information extracted from covid19.analytics package. The InfectionCanada is function that demonstrates the COVID-19 infection data in Canada.User can enter the date of interest and interested province as the arguments to better analyze Canadian COVID-19 infections.The InfeVacPlot function that generates the plotting demonstrating the correlation of COVID-19 vaccination and infection in Canada. VaccinationCanada A function that demonstrates the COVID-19 vaccination data in Canada. User is able to enter the date of interested to look up the vaccination data of Canada on that specific date. Refer to package vignettes for more details.

browseVignettes("covid19Canada")

An overview of the package is illustrated below.

Contributions

The author of the package is Ruicong Zong. The InfectionCanada function makes use of covid19.Canada.data function from covid19.analytics R package to generate the datafram the contains the COVD-19 infection data. InfeVacPlot function makes use of covid19.Canada.data and covid19.vaccination functions from covid19.analytics R package to get both vaccination and infection data. It also uses plot function from tidyverse and reshape R package to generate plotting. The Vaccinationanada makes use of covid19.vaccination from the covid19.analytics R package to get vaccination data. (Section of the borrowed code is clearly indicated and referenced in the InfectionCanada, InfeVacPlot and VaccinationCanada help file)

References

H. Wickham. Reshaping data with the reshape package. Journal of Statistical Software, 21(12), 2007.

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.

Ponce et al. (2021). covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Coronavirus Disease Pandemic. Journal of Open Source Software, 6(59), 2995. https://doi.org/10.21105/joss.02995

R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686

Winston Chang, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert and Barbara Borges (2021). shiny: Web Application Framework for R. R package version 1.7.1. https://CRAN.R-project.org/package=shiny