• R Markdown Cheat Sheet
• Ggplot Cheat Sheet Rstudio
• Cheat Sheets R Studio

In a previous post, I described how I was captivated by the virtual landscape imagined by the RStudio education team while looking for resources on the RStudio website. In this post, I’ll take a look atCheatsheets another amazing resource hiding in plain sight.

Apparently, some time ago when I wasn’t paying much attention, cheat sheets evolved from the home made study notes of students with highly refined visual cognitive skills, but a relatively poor grasp of algebra or history or whatever to an essential software learning tool. I don’t know how this happened in general, but master cheat sheet artist Garrett Grolemund has passed along some of the lore of the cheat sheet at RStudio. Garrett writes:

Cheat Sheet RStudio® is a trademark of RStudio, Inc. CC BY RStudio. info@rstudio.com. 844-448-1212. rstudio.com Learn more at docs.ggplot2.org. ggplot2 0.9.3.1. Updated: 3/15 Geoms - Use a geom to represent data points, use the geom’s aesthetic properties to represent variables. Each function returns a layer. Cheat Sheet RStudio® is a trademark of RStudio, Inc. CC BY RStudio. info@rstudio.com. 844-448-1212. rstudio.com Learn more at docs.ggplot2.org. ggplot2 0.9.3.1. Updated: 3/15 Geoms - Use a geom to represent data points, use the geom’s aesthetic properties to represent variables. Each function returns a.

• R Markdown will run the code and append the results to the doc. It will use the location of the.Rmd file as the working directory Interactive Documents Turn your report into an interactive Shiny document in 4 steps 1. Add runtime: shiny to the YAML header. R Markdown:: CHEAT SHEET Open.
• File New File R Markdown. A window will open. Select the class of output you would like to make with your.Rmd file. Select the specific type of output to make with the radio buttons (you can change this later). Click OK i. Open - Open a file that uses the.Rmd extension. Embed- Write content with the easy to use R Markdown syntax.

One day I put two and two together and realized that our Winston Chang, who I had known for a couple of years, was the same “W Chang” that made the LaTex cheatsheet that I’d used throughout grad school. It inspired me to do something similarly useful, so I tried my hand at making a cheatsheet for Winston and Joe’s Shiny package. The Shiny cheatsheet ended up being the first of many. A funny thing about the first cheatsheet is that I was working next to Hadley at a co-working space when I made it. In the time it took me to put together the cheatsheet, he wrote the entire first version of the tidyr package from scratch.

It is now hard to imagine getting by without cheat sheets. It seems as if they are becoming expected adjunct to the documentation. But, as Garret explains in the README for the cheat sheets GitHub repository, they are not documentation!

RStudio cheat sheets are not meant to be text or documentation! They are scannable visual aids that use layout and visual mnemonics to help people zoom to the functions they need. … Cheat sheets fall squarely on the human-facing side of software design.

Cheat sheets live in the space where human factors engineering gets a boost from artistic design. If R packages were airplanes then pilots would want cheat sheets to help them master the controls.

The RStudio site contains sixteen RStudio produced cheat sheets and nearly forty contributed efforts, some of which are displayed in the graphic above. The Data Transformation cheat sheet is a classic example of a straightforward mnemonic tool.It is likely that even someone who just beginning to work with dplyr will immediately grok that it organizes functions that manipulate tidy data. The cognitive load then is to remember how functions are grouped by task. The cheat sheet offers a canonical set of classes: “manipulate cases”, “manipulate variables” etc. to facilitate the process. Users that work with dplyr on a regular basis will probably just need to glance at the cheat sheet after a relatively short time.

The Shiny cheat sheet is little more ambitious. It works on multiple levels and goes beyond categories to also suggest process and workflow.

The Apply functions cheat sheet takes on an even more difficult task. For most of us, internally visualizing multi-level data structures is difficult enough, imaging how data elements flow under transformations is a serious cognitive load. I for one, really appreciate the help.

R Markdown Cheat Sheet

Cheat sheets are immensely popular. And even in this ebook age where nearly everything you can look at is online, and conference attending digital natives travel light, the cheat sheets as artifacts retain considerable appeal. Not only are they useful tools and geek art (Take a look at cartography) for decorating a workplace, my guess is that they are perceived as runes of power enabling the cognoscenti to grasp essential knowledge and project it in the world.

When in-person conferences resume again, I fully expect the heavy paper copies to disappear soon after we put them out at the RStudio booth.

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:

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: Sandisk network & wireless cards driver download for windows 10.

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. Dealin driver. 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

Ggplot Cheat Sheet Rstudio

Deactivating a license#

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

Pro Drivers#

Drivers tom usb devices. 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.

Check server log files including access.log files.

Check connections to any external authentication providers

• Kerberos, Active Directory, etc.

General Linux tips#

Operating system version#

What OS are you using?

or

Export environment variable to PATH#

Persist changes on startup in .bashrc#

Cheat Sheets R Studio

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