Blog Archives

Package Development cheatsheet, plus Chinese translations

March 12, 2015
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Package Development cheatsheet, plus Chinese translations

We’ve added a new cheatsheet to our collection! Package Development with devtools will help you find the most useful functions for building packages in R. The cheatsheet will walk you through the steps of building a package from: Setting up the package structure Adding a DESCRIPTION file Writing code Writing tests Writing documentation with roxygen

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Learn ggvis with RStudio and DataCamp

December 5, 2014
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Learn ggvis with RStudio and DataCamp

We’ve teamed up with DataCamp to make a self-paced online course that teaches ggvis, the newest data visualization package by Hadley Wickham and Winston Chang. The ggvis course pairs challenging exercises, interactive feedback, and “to the point” videos to let you learn ggvis in a guided way. In the course, you will learn how to

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Introduction to Data Science with R video workshop

November 6, 2014
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Introduction to Data Science with R video workshop

RStudio has teamed up with O’Reilly media to create a new way to learn R! The Introduction to Data Science with R video course is a comprehensive introduction to the R language. It’s ideal for non-programmers with no data science experience or for data scientists switching to R from Excel, SAS or other software. Join

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Learn dplyr with RStudio and Datacamp

October 20, 2014
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Learn dplyr with RStudio and Datacamp

RStudio has teamed up with Datacamp to create a new, interactive way to learn dplyr. Dplyr is an R package that provides a fast, intuitive way to transform data sets with R. It introduces five functions, optimized in C++, that can handle ~90% of data manipulation tasks. These functions are lightning fast, which lets you

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Data management with ShinyApps.io

September 29, 2014
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Data management with ShinyApps.io

Some of the most innovative Shiny apps share data across user sessions. Some apps share the results of one session to use in future sessions, others track user characteristics over time and make them available as part of the app. This level of sophistication creates tricky design choices when you host your app on a

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Registration now open for Master R Developer workshop in San Francisco

September 29, 2014
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Registration now open for Master R Developer workshop in San Francisco

Registration is now open for the next Master R Development workshop led by Hadley Wickham, author of over 30 R packages and the Advanced R book. The workshop will be held on January 19 and 20th in the San Francisco bay area. The workshop is a two day course on advanced R practices and package

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Track how visitors use your Shiny app with Google Analytics

September 8, 2014
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Track how visitors use your Shiny app with Google Analytics

Want to see who is using your Shiny apps and what they are doing while they are there? Google Analytics is a popular way to track traffic to your website. With Google Analytics, you can see what sort of person comes to your website, where they arrive from, and what they do while they are

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Master R Developer Workshop – San Francisco, January 19-20

August 11, 2014
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Master R Developer Workshop – San Francisco, January 19-20

RStudio is planning a new Master R Developer Workshop to be taught by Hadley Wickham in the San Francisco Bay Area on January 19-20. This will be the same workshop that Hadley is teaching in September in New York City to a sold out audience. If you did not get a chance to register for the

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The R Markdown Cheat Sheet

August 1, 2014
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The R Markdown Cheat Sheet

R Markdown is a framework for writing versatile, reproducible reports from R. With R Markdown, you write a simple plain text report and then render it to create polished output. You can: Transform your file into a pdf, html, or Microsoft Word document—even a slideshow—at the click of a button. Embed R code into your report. When

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Master interactive documents at the Shiny Dev Center

July 21, 2014
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Master interactive documents at the Shiny Dev Center

We’ve added a new section of articles to the Shiny Development Center. These articles explain how to create interactive documents with Shiny and R Markdown. You’ll learn how to Use R Markdown to create reproducible, dynamic reports. R Markdown offers one of the most efficient workflows for writing up your R results. Create interactive documents

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