Tufte-style html document format for rmarkdown

Custom template and output formats for use with rmarkdown. Produce Edward Tufte-style handouts in html formats with full support for rmarkdown features

R Markdown HTML Tab Rendering for Shiny

Render R Markdown reports to HTML and display them instantly in a new browser tab from within a 'shiny' application. Replaces file downloads with a seamless in-browser approach.

Convert Local 'HTML' and 'XHTML' Files to 'PDF'

Provides functions for converting local 'HTML' and 'XHTML' files to 'PDF' using an external backend. The package includes helper functions for backend setup, file conversion, and an optional 'Tk' graphical interface.

Assemble Data Frames from HTML Tables

HTML tables are a valuable data source but extracting and recasting these data into a useful format can be tedious. This package allows to collect structured information from HTML tables. It is similar to `readHTMLTable()` of the XML package but provides three major advantages. First, the function automatically expands row and column spans in the header and body cells. Second, users are given more control over the identification of header and body rows which will end up in the R table, including semantic header information that appear throughout the body. Third, the function preprocesses table code, corrects common types of malformations, removes unneeded parts and so helps to alleviate the need for tedious post-processing.

Collapsible 'HTML' Tables from Hierarchical Data

Creates collapsible, expandable 'HTML' tables from hierarchical data. Supports data frame input with multi-level grouping, custom column formatters, bottom-up rollup aggregation, and CSS-variable-based theming. Works in 'Shiny' applications, R Markdown, 'Quarto', and the 'RStudio' Viewer.

Write 'gt' and HTML Tables into 'openxlsx2' Workbooks

Turns a 'gt' table into a range of cells in an 'openxlsx2' workbook, keeping the heading, column spanners, row groups, stub, summary rows, footnotes and the styling set through 'gt'. Numbers stay numbers wherever a spreadsheet number format can reproduce what 'gt' shows. A second entry point does the same for a plain HTML table, so output from other table packages can be written to a worksheet as well; that path needs nothing beyond 'openxlsx2'.

Make Static HTML Website for Predictive Models

Website generator with HTML summaries for predictive models. This package uses 'DALEX' explainers to describe global model behavior. We can see how well models behave (tabs: Model Performance, Auditor), how much each variable contributes to predictions (tabs: Variable Response) and which variables are the most important for a given model (tabs: Variable Importance). We can also compare Concept Drift for pairs of models (tabs: Drifter). Additionally, data available on the website can be easily recreated in current R session. Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of Technology, Faculty of Mathematics and Information Science.

High Performance CommonMark and Github Markdown Rendering in R

The CommonMark specification < https://github.github.com/gfm/> defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. Also includes opt-in support for GFM extensions including tables, autolinks, and strikethrough text.

Easily Work with 'Font Awesome' Icons

Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.

Dynamically Generate Tabset Panels in 'Quarto' HTML Documents

Dynamically generate tabset panels < https://quarto.org/docs/output-formats/html-basics.html#tabsets> in 'Quarto' HTML documents using a data frame as input.