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We are excited to announce the fourth formal summer internship program at RStudio. The goal of our internship program is to enable RStudio employees to collaborate with current students to do impactful work that not only helps both RStudio users and the broader community, but ensures that the community of R developers is just as diverse as its community of users. Over the course of the internship, you will work with experienced data scientists, software developers, and educators to create and share new tools and ideas.
RStudio Pro FeaturesWorkflow Embed code with knitr syntaxDebug Mode learn more at rmarkdown.rstudio.com Rmd Reproducible Research At the click of a button, or the type of a command, you can rerun the code in an R Markdown file to reproduce your work and export the results as a finished report. Use rmarkdown::render to render/knit at cmd line. Cheat sheet Cheat sheet Table of contents Documentation Installing R Install R from pre-compiled binaries RStudio Server Pro Starting, stopping and restarting. It is difficult for RStudio Support to troubleshoot as it depends on external configuration values unknown to us.
Wordpress gitlab. The internship pays up to $12,000 USD (paid hourly) and will last 10-12 weeks. The start date is May 24th–June 7th, depending on your availability (applications are open now, and this year there is no application deadline). To qualify, you must currently be a student (broadly construed - if you think you’re a student, you probably qualify) and have some experience writing code in R and using Git and GitHub. To demonstrate these skills, your application needs to include a link to a package, Shiny app, or data analysis repository on GitHub. It’s OK if you create something specifically for this application: we just need to know that you’re already familiar with the mechanics of collaborative development in R.
Sean hannity twitter. RStudio is a geographically distributed team which means you can be based anywhere in the United States (we hope to expand the program to support in other countries in the future). This year you will be working 100% remotely and you will meet with your mentor regularly online.
We are recruiting interns for the following projects:
Tidyverse
shinymodels - The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. The goal of this internship is to create a package that, given a tidymodels object, will launch a Shiny application.
Mentor: Max Kuhn
Mentor: Max Kuhn
Polishing cpp11 - Improve the
Supervisor: Jim Hester
cpp11
package. The cpp11
package provides C++ bindings to R code. This intern will work to improve the package by adding functionality, fixing bugs, and writing documentation, including introductory tutorials, how-to guides and in-depth explanatory vignettes.Supervisor: Jim Hester
Education
Cheat Sheets - Enhance RStudio’s cheat sheet gallery. Primary tasks will be to review and update existing cheat sheets to reflect new package features, to create new cheat sheets, and to streamline the intake of community contributed cheat sheets.
Mentors: Mine Çetinkaya-Rundel and Garrett Grolemund.
Mentors: Mine Çetinkaya-Rundel and Garrett Grolemund.
Exercise Content - Develop practice content for R users. Primary tasks will be to write exercises with the
Mentor: Garrett Grolemund.
learnr
and R Markdown formats, to write grading checks with gradethis
, to organize exercises in a git repository, and to identify and clean example datasets for R learners. Mentor: Garrett Grolemund.
Rstudio Cheat Sheet
Automate grading of R Markdown assignments - The intern will work on extending
Mentor: Garrick Aden-Buie.
gradethis
with a suite of tools for educators to orchestrate automated feedback of student assignments written in R Markdown documents. Mentor: Garrick Aden-Buie.
R Markdown
This intern will work with the R Markdown team on our ecosystem of R packages for data science communication built on Pandoc. You’ll contribute actively to our software development process as we work to improve our toolchain for academic, scientific, and technical publishing.
Mentor: Alison Hill
Mentor: Alison Hill
Marketing
Help share data science customer stories: Customer stories and conversations are a critical source of information, both for the data science community and for product teams, and RStudio has many such conversations with our customers.
Mentor: Lou Bajuk
Mentor: Lou Bajuk
Apply now at rstudio.com/about/careers/
RStudio is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities and perspectives to apply. All qualified applicants will receive equal consideration without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, or physical disability. However, applicants must legally be able to work in the United States.
2015-06-22Garrett Grolemund
We’ve added two new tools that make it even easier to learn Shiny.Video tutorial The How to Start with Shiny training video provides a new way to teach yourself Shiny. The video covers everything you need to know to build your own Shiny apps. You’ll learn: The architecture of a Shiny app A template for making apps quickly The basics of building Shiny apps How to add sliders, drop down menus, buttons, and more to your apps Read more →
We’ve added a new cheatsheet to our collection. Data Visualization with ggplot2 describes how to build a plot with ggplot2 and the grammar of graphics. You will find helpful reminders of how to use: geoms stats scales coordinate systems facets position adjustments legends, and themes The cheatsheet also documents tips on zooming.Download the cheatsheet here.Bonus - Frans van Dunné of Innovate Online has provided Spanish translations of the Data Wrangling, R Markdown, Shiny, and Package Development cheatsheets. Read more →
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