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

Found 8075 packages in 0.04 seconds

dplyr — by Hadley Wickham, 6 months ago

A Grammar of Data Manipulation

A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

ggfacto — by Brice Nocenti, 2 days ago

Graphs for Correspondence Analysis

Readable, complete and pretty graphs for multiple correspondence analysis, correspondence analysis and principal component analysis made with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful information at mouse hover. The interest is not mainly visual but statistical. It helps the reader to keep in mind the data contained in the cross-table or Burt table while reading the correspondence analysis, thus preventing over-interpretation. Most graphs are made with 'ggplot2', which means that you can use the + syntax to manually add as many graphical pieces you want, or change theme elements. 3D graphs are made with 'plotly'.

gganimate — by Thomas Lin Pedersen, a year ago

A Grammar of Animated Graphics

The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.

ggExtra — by Dean Attali, a year ago

Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements

Collection of functions and layers to enhance 'ggplot2'. The flagship function is 'ggMarginal()', which can be used to add marginal histograms/boxplots/density plots to 'ggplot2' scatterplots.

ggiraph — by David Gohel, 7 months ago

Make 'ggplot2' Graphics Interactive

Create interactive 'ggplot2' graphics using 'htmlwidgets'.

ggdendro — by Andrie de Vries, 3 years ago

Create Dendrograms and Tree Diagrams Using 'ggplot2'

This is a set of tools for dendrograms and tree plots using 'ggplot2'. The 'ggplot2' philosophy is to clearly separate data from the presentation. Unfortunately the plot method for dendrograms plots directly to a plot device without exposing the data. The 'ggdendro' package resolves this by making available functions that extract the dendrogram plot data. The package provides implementations for 'tree', 'rpart', as well as diana and agnes (from 'cluster') diagrams.

bs4Dash — by David Granjon, a year ago

A 'Bootstrap 4' Version of 'shinydashboard'

Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' < https://github.com/ColorlibHQ/AdminLTE>.

viridisLite — by Simon Garnier, 8 months ago

Colorblind-Friendly Color Maps (Lite Version)

Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This is the 'lite' version of the 'viridis' package that also contains 'ggplot2' bindings for discrete and continuous color and fill scales and can be found at < https://cran.r-project.org/package=viridis>.

tidytext — by Julia Silge, a year ago

Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.

ggtern — by Nicholas Hamilton, 10 months ago

An Extension to 'ggplot2', for the Creation of Ternary Diagrams

Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release.