Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 431 packages in 0.01 seconds

texreg — by Philip Leifeld, 8 months ago

Conversion of R Regression Output to LaTeX or HTML Tables

Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft .)

prettydoc — by Yixuan Qiu, 4 years ago

Creating Pretty Documents from R Markdown

Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.

rmdformats — by Julien Barnier, 3 years ago

HTML Output Formats and Templates for 'rmarkdown' Documents

HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.

table1 — by Benjamin Rich, 2 years ago

Tables of Descriptive Statistics in HTML

Create HTML tables of descriptive statistics, as one would expect to see as the first table (i.e. "Table 1") in a medical/epidemiological journal article.

tcltk2 — by Philippe Grosjean, 10 years ago

Tcl/Tk Additions

A series of additional Tcl commands and Tk widgets with style and various functions (under Windows: DDE exchange, access to the registry and icon manipulation) to supplement the tcltk package

Hmisc — by Frank E Harrell Jr, 18 days ago

Harrell Miscellaneous

Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.

teal.widgets — by Dawid Kaledkowski, 2 months ago

'shiny' Widgets for 'teal' Applications

Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.

flextable — by David Gohel, 5 months ago

Functions for Tabular Reporting

Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.

pagedown — by Yihui Xie, 3 months ago

Paginate the HTML Output of R Markdown with CSS for Print

Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.

shinyTime — by Gerhard Burger, 3 years ago

A Time Input Widget for Shiny

Provides a time input widget for Shiny. This widget allows intuitive time input in the '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time component. The interface with R uses date-time objects. See the project page for more information and examples.