Summary and Schedule

This is a new lesson built with The Carpentries Workbench.

Setup Instructions Download files required for the lesson

Duration: 00h 00m 1. Introduction to R Why might you prefer to run code in a script rather than directly from the console?
What is the assignment operator and how can you use it to store objects?

Duration: 00h 40m 2. Exploring the Data How can I load data from CSV or TSV files into R?
What are some functions in R that can be used to examine the data?

Duration: 01h 20m 3. Formatting the Data What do the pivot_longer() and full_join() functions do?

Duration: 01h 40m 4. Introduction to ggplot2 What are the three components needed for creating a plot in ggplot2?

Duration: 02h 10m 5. Extra ggplot2 Customisation How can you add a title and change the axis labels in a ggplot?

Duration: 02h 30m 6. Wrapping Up How can I save plots to a file?

Duration: 02h 50m Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.

Data Sets

Download the data zip file. This is the data that you will use in the workshop.

Software Setup

Software you will need on your computer prior to starting this workshop:

R
RStudio
The tidyverse R package

All three of these pieces of software are free and open-source.

1. Installing R

Go to the CRAN (The Comprehensive R Archive Network) website: https://cran.r-project.org/

At the top of the page, click on link that corresponds to your operating system.

After clicking on the Download R for Windows link, click base and download the latest R version for Windows.

Run the executable file and follow the instructions.

After clicking on the Download R for macOS link, choose between the Apple Silicon or Intel x86 versions of R, and download the .pkg file.

If you don’t know what chipset your computer uses, you can click on the Apple icon on the top left of your menu bar and click on “About This Mac”. Look at the Chip field or Processor field. If it contains something like “Apple M1” or “M2”, etc. then download the file for Apple Silicon. If it contains an Intel chip, then download the file for Intel Macs.

Run the .pkg file and follow the instructions.

Click on the Download R for Linux link or the link for the distro you’re using. Follow the instructions to install R.

2. Installing RStudio

Go to the Posit website page for RStudio and click on the button to download RStudio for your operating system.

Install the software on your computer.

3. Installing the tidyverse R package

Run RStudio. You should see an interface with several panels. The console panel should be on the left hand side.

Type:

R

install.packages("tidyverse")

and press enter.

R will begin downloading and installing some packages which will take a few minutes. You will see the progress of these downloads and installations in the console.

When done, verify the package installed by loading it. Type:

R

library(tidyverse)

and press enter.

You should see output similar to this if tidyverse was installed correctly, although the version numbers may differ: