Virtual DC Workshop- R

Curtin University

Online

Dec 7-8 2020

08:45 am - 12:00 pm

Instructors: Kathryn Napier

Helpers: Paul Hancock, Behrouz Beheshti

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers from Curtin University. Please note, this workshop is not open to external participants. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: Dec 7-8 2020. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email curtinic@curtin.edu.au for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1, Mon Dec 7

Before starting Pre-workshop survey
08:45 Join online workshop and set up
09:00 Introduction to the workshop and tools
10:30 Coffee Break
10:45 Introduction to R
12:00 Wrap up

Day 2, Tues Dec 4

08:45 Join online workshop and set up
09:00 Introduction to R continued
10:30 Coffee Break
10:45 Introduction to R continued
12:00 Post-workshop survey

Syllabus

Data Analysis and Visualisation in R

  • Finding your way around RStudio and getting help
  • Project set up
  • Manipulating, analyzing and exporting data with tidyverse
  • Data visualisation with ggplot2
  • Reference...

Setup

To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Video conferencing

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

R

R and RStudio are two separate pieces of software: R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. RStudio is an integrated development environment (IDE) that makes using R easier. In this course we use RStudio to interact with R. If you don't already have R and RStudio installed, follow the instructions for your operating system below. You have to install R before you install RStudio.

Video Tutorial
  1. Install R by downloading and running this .exe file from CRAN.
  2. Install the RStudio IDE.
  3. 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.

You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo dnf install R). Also, please install the RStudio IDE.