devtools, testthat, covr, rmarkdown, knitr, tidyverse, shiny,
shinydashboard, shinyWidgets, shinycssloaders
data.table, tibble, dplyr, purrr, ggplot2, magrittr, plotly,
ggthemes, viridis, scales

c(person("Sam Abbott", role = c("aut", "cre"),
email = "contact@samabbott.co.uk",
comment = c(ORCID = "0000-0001-8057-8037")))
devtools, testthat, vdiffr, covr, pkgnet, rmarkdown, knitr,
tidyverse, shiny, shinydashboard, shinyWidgets, shinycssloaders
data.table, tibble, dplyr, tidyr, purrr, ggplot2, magrittr,
plotly, ggthemes, viridis, scales

devtools, testthat, vdiffr, covr, pkgnet, rmarkdown, knitr,
tidyverse, shiny, shinydashboard, shinyWidgets,
shinycssloaders, hexSticker

Access and Summarise World Health Organisation Tuberculosis data
person(given = "Sam Abbott",
role = c("aut", "cre"),
email = "contact@samabbott.co.uk",
comment = c(ORCID = "0000-0001-8057-8037"))
Quickly and easily import analysis ready
Tuberculosis (TB) burden data, from the World Health Organisation
(WHO), into R. The aim of getTBinR is to allow researchers, and other
interested individuals, to quickly and easily gain access to a
detailed TB data set and to start using it to derive key insights. It
provides a consistent set of tools that can be used to rapidly
evaluate hypotheses on a widely used data set before they are explored
further using more complex methods or more detailed data. These tools
include: generic plotting and mapping functions; a data dictionary
search tool; an interactive shiny dashboard; and an automated, country
level, TB report. For newer R users, this package reduces the barrier
to entry by handling data import, munging, and visualisation. All
plotting and mapping functions are built with ggplot2 so can be
readily extended.

Access and Summarise World Health Organization Tuberculosis Data
c(
person(given = "Sam Abbott",
role = c("aut", "cre"),
email = "contact@samabbott.co.uk",
comment = c(ORCID = "0000-0001-8057-8037")),
person(given = "Maria Bekker-Nielsen Dunbar",
role = c("ctb"),
comment = c(ORCID = "0000-0002-7249-3524")))
Quickly and easily import analysis ready
Tuberculosis (TB) burden data, from the World Health Organization
(WHO), into R. The aim of getTBinR is to allow researchers, and other
interested individuals, to quickly and easily gain access to a
detailed TB data set and to start using it to derive key insights. It
provides a consistent set of tools that can be used to rapidly
evaluate hypotheses on a widely used data set before they are explored
further using more complex methods or more detailed data. These tools
include: generic plotting and mapping functions; a data dictionary
search tool; an interactive shiny dashboard; and an automated, country
level, TB report. For newer R users, this package reduces the barrier
to entry by handling data import, munging, and visualisation. All
plotting and mapping functions are built with ggplot2 so can be
readily extended.
Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>),
Maria Bekker-Nielsen Dunbar [ctb]
(<https://orcid.org/0000-0002-7249-3524>)