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.
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()
ls("package:covid19Canada")
data(package = "covid19Canada") # optionalcovid19Canada 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.
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)
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
This package was developed as part of an assessment for 2021 BCB410H: Applied Bioinformatics, University of Toronto, Toronto, CANADA.