README.md

In etc5523-2020/r-package-assessment-samuellyu-2021: Covid19: The Battle For Independence Package

covid19BFI package

The R package covid19BFI is a container for the Covid19: The Battle for Independence application that provides access to an interactive and insightful application for comparative analysis between Ireland and the United Kingdom over the impact of corona virus and the response to deal with pandemic from each government. Corona virus has further reignited the discussion for Irish independence, given Ireland is split into two states - The republic of Ireland and Northern Ireland, there is now a direct case study with corona virus response as the proxy for Ireland’s ability to stand completely united and independent of the UK, with this package providing access to the application that hands the user the data and the tools to make critically assess the responses between the two countries as well, as access the data and other tools to recreate the analysis.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("etc5523-2020/r-package-assessment-samuellyu-2021")

Accessing the application

The application Covid19: The Battle for Independence can be accessed by using launch_app( ) in the console after installing the package.

launch_app( ) will build and generate the interactive shiny application, providing user access immediately.

Package data and tools

covid19BFI provides access to the data used to create the Covid19: The Battle for Independence application as well as tools to explore this, and any, dataset. Calling covid_data_uk_irl will provide the covid cases and deaths data that has been compiled for Ireland and the United Kingdom. In order to further explore this dataset, simply assign it to an object and then conduct the desired analysis. Tools that the package provides include a dt_styler( ) which is datatable style formatter that can be used with any two variables from any dataset.

library(covid19BFI)
library(tidycovid19)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(covdata)
#> 
#> Attaching package: 'covdata'
#> The following object is masked from 'package:datasets':
#> 
#>     uspop
library(tibble)
options(digits = 2)
data <- covid_data_uk_irl %>% 
  arrange(desc(date)) %>%
  head(n=10)

#Can use dt_styler to format the data according to key the specified key variables
dt_styler(data,"iso3", "GBR", "IRL", "#b6f3b6", "#eea7a7", plength = 4, rownames = FALSE)

As shown, dt_styler( ) colors the rows according to the two key variables in the index column.

Learn more about covid19BFI

• The vignette provides further in depth explanation of the what the package provides as well as documentation for all the functions, tools and data.

etc5523-2020/r-package-assessment-samuellyu-2021 documentation built on Jan. 1, 2021, 1:13 a.m.