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 and RStudio	How to find your way around RStudio? How to interact with R? How to organise your project files? How to install packages?
Duration: 00h 49m	2. Visualisation with ggplot2	How do I access my data in R? How do I visualise my data with ggplot2?
Duration: 01h 57m	3. Subsetting data with dplyr	How can I subset the number of columns in my data set? How can I reduce the number of rows in my data set?
Duration: 03h 09m	4. Data sorting and pipes dplyr	How can I sort the rows in my data? How can I avoid storing intermediate data objects?
Duration: 04h 16m	5. Data manipulation with dplyr	How can I change the colour in my plots? How can I change the general look of my plot?
Duration: 05h 21m	6. Data manipulation with dplyr	How can I add variables to my data? How can I alter the variables already in my data?
Duration: 06h 26m	7. Reshaping data with tidyr	How can I make my data into a longer format? How can I get my data into a wider format?
Duration: 07h 32m	8. Data summaries with dplyr	How can I create summary tables of my data? How can I create different types of summaries based on groups in my data?
Duration: 08h 40m	9. Complex data pipelines	How can I combine everything I’ve learned so far? How can I get my data into a wider format?
Duration: 09h 47m	10. Data manipulation across columns	How can I calculate the mean of several columns for every row of data? How can I apply the same function across several related columns?
Duration: 10h 38m	Finish

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

Software Setup

---

Windows

You can watch the YouTube video tutorial for complete instructions.

• Install R by downloading and running this .exe file from CRAN.
  
• Please, also install Rtools
  • Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select “Run as administrator” instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.

MacOS

Follow the video tutorial for detailed instructions.

• Install R by downloading and running this .pkg file from CRAN

Linux

• You can download the binary files for your distribution from [CRAN](http://cran.r-project.org/index.html

Or

• you can use your package manager (e.g. for Debian/Ubuntu

sudo apt-get install r-base

• for Fedora run

sudo dnf install R

There are some extra things to install for all operating systems.

RStudio

Please install the RStudio IDE. It is the user interface towards R, and is required for this workshop.

R packages

Lastly, you will need to install two packages to join the workshop, namely the {tidyverse} and {palmerpenguins} packages. You can do this by opening RStudio, and in the panel labelled “console” (usually in the bottom left corner), type the following:

R

install.packages(c("tidyverse", "palmerpenguins"))