Interactive Data Visualization with D3.js
The dashboard package allows users to create web pages which display
interactive data visualizations working in a standard modern browser. It displays them locally
using the Rook server. Nor knowledge about web technologies nor Internet connection are
required. D3.js is a JavaScript library for manipulating documents based on data.
D3 helps the dashboard package bring data to life using HTML, SVG and CSS.

Customise the Appearance of 'shinydashboard' Applications using
Themes
person("Nik", "Lilovski", email = "nik.lilovski@outlook.com",
role = c("aut", "cre"))
Allows manual creation of themes and logos to be used in
applications created using the 'shinydashboard' package. Removes the need to
change the underlying css code by wrapping it into a set of convenient R
functions.
testthat, lintr, knitr, rmarkdown, glue, covr

An implementation of common higher order functions with syntactic
sugar for anonymous function. Provides also a link to 'dplyr' for common
transformations on data frames to work around non standard evaluation by
default.
data.table, dplyr, Formula, magrittr, progress, tibble
lintr, knitr, microbenchmark, nycflights13, rmarkdown,
testthat
'NAMESPACE.R' 'FormulaList.R' 'helper.R' 'DataFrame.R'
'as.function.R' 'bindRows.R' 'extract.R' 'map.R' 'mutar.R'
'pipeExport.R' 'replace.R' 'verboseApply.R'

lintr, knitr, rbenchmark, nycflights13, rmarkdown, testthat

'NAMESPACE.R' 'FormulaList.R' 'helper.R' 'DataFrame.R'
'as.function.R' 'bindRows.R' 'deparse.R' 'extract.R' 'map.R'
'mutar.R' 'pipeExport.R' 'replace.R' 'verboseApply.R'

An implementation of common higher order functions with syntactic
sugar for anonymous function. Provides also a link to 'dplyr' and
'data.table' for common transformations on data frames to work around non
standard evaluation by default.
data.table, Formula, magrittr, progress, aoos
dplyr, lintr, knitr, rbenchmark, nycflights13, rmarkdown,
testthat, tibble
'NAMESPACE.R' 'FormulaList.R' 'helper.R' 'DataFrame.R'
'as.function.R' 'bindRows.R' 'dataTableBackend.R' 'deparse.R'
'extract.R' 'map.R' 'mutar.R' 'pipeExport.R' 'replace.R'
'useDplyr.R' 'verboseApply.R'