Installing R and RStudio

The following workshops need to have R and RStudio pre-installed (if possible):

• Entry: Introduction to R and RStudio
• Entry: Data analysis with R parts 1 and 2
• Other: Delving deeper into R
• Other: More Tidyverse
• Other: Text analysis in R

• Entry: Debugging/troubleshooting tips and tricks
• Entry: Useful code snippets for everyday tasks

Please note: R and RStudio are two different pieces of software - RStudio provides a nice interface for working with R.

Follow the instructions provided at https://carpentries.github.io/workshop-template/#r to install both R (version 4+) and the RStudio IDE (version 1.4+).

If your workshop is an Other stream, please also install the `tidyverse` package by opening RStudio and in the console panel running this command: install.packages("tidyverse")

Installing UNIX commandline

The following workshops need to have a UNIX commandline pre-installed (if possible):

• Entry: Navigating the UNIX file system
• Other: Finding things with regular expressions
• Other: Introduction to Workflow Languages

To install the Bash shell, please follow the instructions found at https://carpentries.github.io/workshop-template/#shell if you are using Windows. MacOS and Linux users, you will already have a UNIX commandline available through terminal.

Installing OpenRefine

The following workshops need to have OpenRefine pre-installed (if possible):

• Entry: Introduction to Data Cleaning with OpenRefine

For this lesson you will need OpenRefine and a web browser. Note: OpenRefine is a Java program that runs on your machine (not in the cloud). It runs inside your browser, but no web connection is needed. Download OpenRefine version 3.4.1 from http://openrefine.org/download.html.

• Do not select beta versions or the release candidates.
• If you are on Windows and do not have Java installed, download the version Windows kit with embedded Java.
• Unzip the downloaded file into a directory and name that directory something like OpenRefine.
• Check below for further instructions depending on your operating system.

• Google Chrome
• Chromium
• Opera
• Microsoft Edge

Running OpenRefine

Windows

• Go to your newly created OpenRefine directory.
• Launch OpenRefine by double clicking on openrefine.exe (this will launch a command prompt window first; ignore that, and wait for OpenRefine to launch in the web browser, which is where you will interact with the program).
• If you are using a different browser, or OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to launch the program.

Mac

• Go to your newly created OpenRefine directory.
• Drag the OpenRefine icon into Applications folder, and Ctrl-click/Open… it.
• If you are using a different browser, or OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to launch the program.

Linux

• Navigate to your newly created OpenRefine directory using the command line.
• Type ./refine into the terminal within the OpenRefine directory
• If you are using a different browser, or OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to launch the program.

Installing Docker

The following workshops need to have Docker pre-installed (if possible):

• Other: Reproducible computational environments using containers