R Markdown Cheatsheet R Markdown is an authoring format that makes it easy to write reusable reports with R. You combine your R code with narration written in markdown (an easy-to-write plain text format) and then export the results as an html, pdf, or Word file. You can even use R Markdown to build interactive documents and slideshows. RStudio opens plots in a dedicated Plots pane Navigate recent plots Open in window Export plot Delete plot Delete all plots Package version installed Examine variables in executing environment Open with debug, browser, or a breakpoint. RStudio will open the debugger mode when it encounters a breakpoint while executing code.

^{Photo by JD Long}

This cheat sheet will help you to get yourself up to speed in no time! R For Data Science Cheat Sheet: xts eXtensible Time Series (xts) is a powerful package that provides an extensible time series class, enabling uniform handling of many R time series classes by extending zoo. RStudio IDE- - ) ```, RStudio ``` ```.

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.

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.

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

Polishing cpp11 - Improve the 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

Rstudio Cheat Sheet Pdf

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.

Exercise Content - Develop practice content for R users. Primary tasks will be to write exercises with the 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.

Automate grading of R Markdown assignments - The intern will work on extending 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

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

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.

Documentation#

Pre-requisites:

Installing R#

Install R from pre-compiled binaries#

Recommended best practise is to install R from pre-compiled binaries

For example, on Ubuntu 18.04 for R version 3.6.1.

This script installs into /opt/R/..

Verify installation:

RStudio Server Pro#

Admin guide: https://docs.rstudio.com/ide/server-pro/

Starting, stopping and restarting#

Running the verify installation command:

To restart the RSP service and check its status, run these commands (with sudo if necessary):

Status#

Error logs#

The locations of the various server log files:

The server log is at: Parallel desktop 7 for mac.

RStudio Connect#

Admin guide: https://docs.rstudio.com/connect/admin/

Config file#

Systemd vs upstart#

Distributions using systemd include Red Hat/CentOS 7, Red Hat/CentOS 8, SUSE 12, Ubuntu 16.04, and Ubuntu 18.04.

• systemctl start rstudio-connect

Distributions using Upstart include Red Hat/CentOS 6 and Ubuntu 14.04.

• start rstudio-connect

Starting and stopping#

Checking status#

Log files#

Get the diagnostics script#

RStudio Package Manager#

Admin guide: https://docs.rstudio.com/rspm/admin/

The rspm command#

Try running the rspm command on the server instance where RSPM is installed:

To save keystrokes when typing RSPM commands, create a command alias for therspm command:

Run the rspm command with no arguments for a list of available commands:

Working with CRAN#

Manage repositories and sources#

Manage packages#

Working with repositories#

Utilities#

System health check#

You have various methods to check the health of your RSPM instance:

1. View the RSPM application logs:

2. View the RSPM access logs:

3. Check the status of your RSPM license:

4. Run RSPM diagnostics:

5. View diagnostics output:

License manager#

View license status#

Activate license:

List of available commands:

Supported commands:

Expired license#

Things to try:

• Check time and time zone timedatectl
• Resync if needed, e.g. sudo hwclock -w
• Restart

Deactivating a license#

Deactivation tool: http://apps.rstudio.com/deactivate-license/

Pro Drivers#

Documentation overview: https://docs.rstudio.com/pro-drivers/

Driver locations:

Troubleshooting#

Troubleshooting R#

Almost all RStudio products depend on R being installed successfully to run.

• Look for errors related to R in the server logs

Can R be launched manually and can the user's code be run in R without any errors?

How was R installed?

• From source or pre-compiled binaries? If so, were all correct flags and capabilities set?

Are all necessary dependencies installed?

Are the permissions set correctly to allow r-x by all?

Are there multiple versions of R on the system?

Troubleshooting configuration#

Look for any errors in the startup. You can view the live log during startup using:

Read through the admin guides and make sure you have the correct formatting

Make sure you're on the right version of the product compared to the admin guide!

Troubleshooting authentication#

It is difficult for RStudio Support to troubleshoot as it depends on external configuration values unknown to us.

Does it work outside of the RStudio product?

• Often possible to copy over working setup from other systems or services.
• For RStudio Server Pro, thepamtester utility lets you test outside RStudio systems.

R Studio Cheat Sheet Ggplot

Check server log files including access.log files.

Check connections to any external authentication providers

• Kerberos, Active Directory, etc.

R Studio Ggplot Cheatsheet

General Linux tips#

Operating system version#

What OS are you using?

or

Export environment variable to PATH#

Persist changes on startup in .bashrc#

You can run scripts and define variables on startup by adding lines to your .bashrc file: