Format BibTeX entries and files in an opinionated way.

Provides a small set of tools for formatting numbers in R-markdown 
    documents. Convert a numerical vector to character strings in power-of-ten 
    form, decimal form, or measurement-units form; convert symbols for chemical 
    isotopes from hyphenated form to nuclear form; all are math-delimited for 
    rendering as inline equations. Can also convert text into math-delimited 
    text to match the font face and size of math-delimited numbers. Useful for 
    rendering single numbers in inline R code chunks and for rendering columns 
    in tables.

Provides a function tidy_source() to format R source code. Spaces
    and indent will be added to the code automatically, and comments will be
    preserved under certain conditions, so that R code will be more
    human-readable and tidy. There is also a Shiny app as a user interface in
    this package (see tidy_app()).

Provides functions to create formattable vectors and data frames.
    'Formattable' vectors are printed with text formatting, and formattable
    data frames are printed with multiple types of formatting in HTML
    to improve the readability of data presented in tabular form rendered in
    web pages.

We provide a framework for rendering complex tables to ASCII,
    and a set of formatters for transforming values or sets of values into
    ASCII-ready display strings.

'Shiny' apps can often make use of the same key elements, this package provides modules for common tasks (data upload, wrangling data, figure generation and saving the app state), and also a framework for developing. These modules can react and interact as well as generate code to create reproducible analyses.

Serves as a companion toolkit for the 'formr' survey
    framework (<https://rforms.org>). The package acts as a bridge
    between a 'formr' server and a local R environment. Key features
    include an API client for fetching, type-casting, and automatically
    scoring data; a project management workflow for syncing study
    assets (surveys, CSS) for local editing; and functions for use
    within 'formr' runs to generate dynamic, personalized feedback
    plots and to simplify survey logic.