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The r2d3 package provides a suite of tools for using D3 visualizations with R, including: Translating R objects into D3 friendly data structures Rendering D3 scripts within the RStudio Viewer and R Notebooks Publishing D3 visualizations to the web Incorporating D3 scripts into R Markdown reports, presentations, and dashboards Creating interactive D3 applications with Shiny Distributing D3 based ht
The reticulate package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session. Translation between R and Python objects (for example, between R and Pandas data frames, or
The TensorFlow for R website has been moved to here.
Shiny is a web framework for R and Python. To learn more about Shiny, visit the shiny website. The Leaflet package includes powerful and convenient features for integrating with Shiny applications. Most Shiny output widgets are incorporated into an app by including an output (e.g., plotOutput()) for the widget in the UI definition, and using a render function (e.g., renderPlot()) in the server fun
Leaflet is an open-source JavaScript library for interactive maps. This R package makes it easy to create Leaflet maps from R. library(leaflet) m = leaflet() %>% addTiles() m # a map with the default OSM tile layer m = m %>% setView(-93.65, 42.0285, zoom = 17) m m %>% addPopups(-93.65, 42.0285, 'Here is the <b>Department of Statistics</b>, ISU')
The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including: Automatically plots xts time series objects (or any object convertible to xts). Highly configurable axis and series display (including optional second Y-axis). Rich interactive features including zoom/pan and series/point highlighting. Displ
The R package DT provides an R interface to the JavaScript library DataTables. R data objects (matrices or data frames) can be displayed as tables on HTML pages, and DataTables provides filtering, pagination, sorting, and many other features in the tables. You may install the stable version from CRAN, or the development version using remotes::install_github('rstudio/DT') if necessary (this website
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< Return to homepage View the Project on GitHub rstudio/packrat Packrat is a dependency management system for R. R package dependencies can be frustrating. Have you ever had to use trial-and-error to figure out what R packages you need to install to make someone else’s code work–and then been left with those packages globally installed forever, because now you’re not sure whether you need them? Ha
Let’s Go! This tutorial covers the basics of Shiny and provides detailed examples of using much of its capabilities. Click the Next button to get started and say hello to Shiny! The Hello Shiny example is a simple application that generates a random distribution with a configurable number of observations and then plots it. To run the example, type: > library(shiny) > runExample("01_hello") Shiny a
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