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'rChoiceDialogs' Collection
Collection of portable choice dialog widgets.
'shiny' Widgets for 'teal' Applications
Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Custom Loader for Shiny Outputs
A custom css/html or gif/image file for the loading screen in R 'shiny'. It also can use the marquee to have custom text loading screen.
A Nested Menu Widget for 'Shiny' Applications
Provides a nested menu widget for usage in 'Shiny' applications. This is useful for hierarchical choices (e.g. continent, country, city).
An Agile Widget Engine for Real-Time, Dynamic Visualizations
An unsorted collection of visualization widgets rendered in 'Tcl/Tk'< https://www.tcl.tk/> to generate agile dashboards for your iterative simulations. Widgets include progress bars, counters, eavesdroppers, injectors, switches, and sliders for dynamic manipulation and visualization of simulation parameters.
Compact Inline Widgets for 'shiny' Apps
Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Management of GUI Widgets, Windows, and Other GUI Resources
High level management of widgets, windows and other graphical resources.
Cytoscape.js Shiny Widget (cyjShiny)
Wraps cytoscape.js as a shiny widget. cytoscape.js < https://js.cytoscape.org/> is a Javascript-based graph theory (network) library for visualization and analysis. This package supports the visualization of networks with custom visual styles and several available layouts. Demo Shiny applications are provided in the package code.
Syntax Highlighter
Syntax highlighter for R code based on the results of the R parser. Rendering in HTML and latex markup. Custom Sweave driver performing syntax highlighting of R code chunks.
Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Create beautiful and customizable tables to summarize several
statistical models side-by-side. Draw coefficient plots, multi-level
cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and
correlation matrices. This package supports dozens of statistical models, and
it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel,
RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr'
dynamic documents. Details can be found in Arel-Bundock (2022)