trackmd - Tools for tracking changes in Markdown format within RStudio

  •        10

RStudio addin for tracking changes in Markdown format. Inspired by Critic Markup.



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An R package for creating slideshows with remark.js through R Markdown. The package name xaringan comes from Sharingan, a dōjutsu in Naruto with two abilities: the "Eye of Insight" and the "Eye of Hypnotism". A presentation ninja should have these basic abilities, and I think remark.js may help you acquire these abilities, even if you are not a member of the Uchiha clan. If you use RStudio, it is easy to get started from the menu File -> New File -> R Markdown -> From Template -> Ninja Presentation, and you will see an R Markdown example. Press the Knit button to compile it, or use the RStudio Addin Infinite Moon Reader to live preview the slides (every time you update and save the Rmd document, the slides will be automatically reloaded; make sure the Rmd document is on focus when you click the addin). Please see the issue #2 if you do not see the template or addin in RStudio.

sparklyr - R interface for Apache Spark

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If you use the RStudio IDE, you should also download the latest preview release of the IDE which includes several enhancements for interacting with Spark (see the RStudio IDE section below for more details). The returned Spark connection (sc) provides a remote dplyr data source to the Spark cluster.

timevis - Create interactive timeline visualizations in R

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Copyright 2016 Dean Attali. Licensed under the MIT license. timevis lets you create rich and fully interactive timeline visualizations in R. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. timevis includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. This package is based on the vis.js Timeline module and the htmlwidgets R package.

blogdown - Create Blogs and Websites with R Markdown

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You may create a new site via the function blogdown::new_site() under an empty directory. It will create a skeleton site, download a Hugo theme from Github, add some sample content, launch a web browser and you will see the new site. The sample blog post hello-world.Rmd should be opened automatically, and you can edit it. The website will be automatically rebuilt and the page will be refreshed after you save the file. If you use RStudio, you can create a new RStudio project for your website from the menu File -> New Project -> New Directory -> Website using blogdown.

rmdformats - HTML output formats for RMarkdown documents

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This R package provides ready-to-use HTML output formats and templates for RMarkdown documents. The goal is to produce clean documents "out of the box", with or without the RStudio IDE. The package provides several HTML output formats. You can click on an image to see a real HTML output sample.

usethis - Set up commonly used 📦 components

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usethis is a workflow package: it automates repetitive tasks that arise during project setup and development, both for R packages and non-package projects. Most use_*() functions operate on the active project: literally, a directory on your computer. If you’ve just used usethis to create a new package or project, that will be the active project. Otherwise, usethis verifies that current working directory is or is below a valid project directory and that becomes the active project. Use proj_get() or proj_sitrep() to manually query the project and read more in the docs.

r-color-palettes - Comprehensive list of color palettes available in r

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The goal of this repository is to have a one stop destination for anyone looking for a color palette to use in r. If you would like to help/contribute please feel free post an issue, PR or send a email to Further down the page is all the palettes available in the R ecosystem ordered alphabetically by package name. A list of palettes ordered by type can be found here Type sorted palettes to shorten the length of this page.

mindr - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)

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mindr is an R package which converts markdown (.md) or rmarkdown (.Rmd) files to mind maps (.mm), and vice versa. Mind map files (.mm) can be opened by or imported to common mindmap software such as the desktop software 'FreeMind'and 'XMind', or the online webware 'mindmeister'. then you will get a demo mind map file in the working directory (getwd()). Open it with any mind-map (brainstorm) software, and you will get a mind map.

happy-git-with-r - Using Git and GitHub with R, Rstudio, and R Markdown

  •    CSS

Happy Git and GitHub for the useR by Jennifer Bryan is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

rocker - R configurations for Docker

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This repository contains Dockerfiles for different Docker containers of interest to R users. To get started right away, ensure you have Docker installed and start a container with docker run --rm -ti rocker/r-base (see here for the docker run command options). In this case we are starting the r-base container (the base package to build from) in an interactive mode, see below for details of the other containers currently available. To get started on the rstudio container or its derivative containers (eg. hadleyverse and ropensci) you need to open a port, see the instructions in the wiki. The wiki also contains further instructions and information on the project, including how to extend these images and contribute to development.

highcharter - R wrapper for highcharts based on htmlwidgets

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R wrapper for highcharts. highcharter bring all the highcharts capabilites so it is recommended know how highcharts API works to take a major advantage of this package. You can look some demos charts and explore chart types, syntax and all what highcharts can do. Highcharter has a dependency on Highcharts, a commercial JavaScript charting library. Highcharts offers both a commercial license as well as a free non-commercial license. Please review the licensing options and terms before using this software, as the highcharter license neither provides nor implies a license for Highcharts.

shinyjs - Easily improve the user experience of your Shiny apps in seconds

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shinyjs lets you perform common useful JavaScript operations in Shiny apps that will greatly improve your apps without having to know any JavaScript. Examples include: hiding an element, disabling an input, resetting an input back to its original value, delaying code execution by a few seconds, and many more useful functions for both the end user and the developer. shinyjs can also be used to easily call your own custom JavaScript functions from R.

SQL-Server-R-Services-Samples - Advanced analytics samples and templates using SQL Server R Services

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In these examples, we will demonstrate how to develop and deploy end-to-end advanced analytics solutions with SQL Server 2016 R Services.Develop models in R IDE. SQL Server 2016 R services allows Data Scientists to develop solutions in an R IDE (such as RStudio, Visual Studio R Tools) with Open Source R or Microsoft R Server, using data residing in SQL Server, and computing done in-database.

ggpage - Creates Page Layout Visualizations in R

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ggpage is a package to create pagestyled visualizations of text based data. It uses ggplot2 and final returns are ggplot2 objects. In this new version I have worked to include a lot of use cases that wasn’t available in the first version. These new elements are previewed in the vignette.

radiant - Business analytics using R and Shiny

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Radiant is an open-source platform-independent browser-based interface for business analytics in R. The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vincent Nijs. Please use the issue tracker on GitHub to suggest enhancements or report problems: For other questions and comments please use Radiant is interactive. Results update immediately when inputs are changed (i.e., no separate dialog boxes) and/or when a button is pressed (e.g., Estimate in Model > Estimate > Logistic regression (GLM)). This facilitates rapid exploration and understanding of the data.

engsoccerdata - English and European soccer results 1871-2017

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This R package is mainly a repository for complete soccer datasets, along with some built-in functions for analyzing parts of the data. Currently I include three English ones (League data, FA Cup data, Playoff data - described below), several European leagues (Spain, Germany, Italy, Holland, France, Belgium, Portugal, Turkey, Scotland, Greece) as well as South Africa and MLS. Free to use for non-commerical use. Compiled by James Curley.

datascience-box - Data Science Course in a Box

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This introductory data science course that is our (working) answer to these questions. The courses focuses on data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication and approaching statistics from a model-based, instead of an inference-based, perspective. A heavy emphasis is placed on a consitent syntax (with tools from the tidyverse), reproducibility (with R Markdown) and version control and collaboration (with git/GitHub). We help ease the learning curve by avoiding local installation and supplementing out-of-class learning with interactive tools (like learnr tutorials). By the end of the semester teams of students work on fully reproducible data analysis projects on data they acquired, answering questions they care about. This repository serves as a "data science course in a box" containing all materials required to teach (or learn from) the course described above.

Intro - Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media

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Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media. To purchase the course, or watch sample lessons, visit

lintr - Static Code Analysis for R

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