Oct 17, 24, 31, Nov 7 & 14, 2019
9:00 am - 12:00 pm
Instructors: Sue McClatchy, Stanley Yang, Carolyn Paisie, Andrew Deighan
Helpers: Olaitan Awe
This beginner R series starts with fundamental data wrangling skills, then builds up to Wickham & Grolemund’s R for Data Science, a free book available at https://r4ds.had.co.nz/. There are no prerequisites for this workshop.
The workshop will be held for five consecutive Thursday mornings from 9:00am to 12:00pm from Oct 17 to Nov 14 at the Jackson Laboratory campuses in Bar Harbor, Maine and Farmington, Connecticut.
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
This workshop is open to those from neighboring institutions and is free of charge. Participants must attend in person in either Bar Harbor or Farmington. Remote attendance will not be supported otherwise.
Where: The Jackson Laboratory, 600 Main Street, Bioinformatics Training Room, Bar Harbor ME. Get directions with OpenStreetMap or Google Maps.
When: Oct 17, 24, 31, Nov 7 & 14, 2019. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). They should have a few specific software packages installed (listed below).
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.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email susan.mcclatchy@jax.org for more information.
Please be sure to complete these surveys before and after the workshop.
| 09:00 | Welcome and introductions |
| 09:15 | Navigating Files and Directories |
| 09:40 | Overview of R and RStudio |
| 10:00 | R Packages |
| 10:15 | Loading and saving data in R |
| 10:30 | Break |
| 10:45 | Introduction to Data Organisation |
| 10:50 | Formatting Data |
| 11:15 | Common Formatting Problems |
| 11:30 | Dates as Data |
| 11:40 | Exporting Data |
| 11:45 | BYOD (bring your own data) to practice |
| 12:00 | END |
| 09:00 | Introduction to Data Cleaning |
| 09:15 | Working with OpenRefine |
| 09:45 | Generating Scripts |
| 10:15 | Exporting Data |
| 10:30 | Break |
| 10:45 | Introduction to R |
| 11:45 | BYOD (bring your own data) to practice |
| 12:00 | END |
| 09:00 | Introduction to Data Visualisation |
| 09:15 | Workflow: basics |
| 09:30 | Data Visualisation |
| 10:30 | Break |
| 10:45 | Workflow: scripts |
| 11:15 | Data Transformation |
| 11:45 | BYOD (bring your own data) to practice |
| 12:00 | END |
| 09:00 | Introduction to Exploratory Data Analysis |
| 09:15 | Workflow: projects |
| 09:45 | Exploratory Data Analysis |
| 10:30 | Break |
| 10:45 | Introduction to Data Wrangling |
| 10:50 | Tibbles |
| 11:15 | Data Import |
| 11:45 | BYOD (bring your own data) to practice |
| 12:00 | END |
| 09:00 | Tidy Data |
| 09:30 | Relational Data |
| 10:00 | Strings |
| 10:30 | Break |
| 10:45 | Factors |
| 11:15 | Dates and Times |
| 11:45 | BYOD (bring your own data) to practice |
| 12:00 | END |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in a 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.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. 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.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
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.
For this lesson you will need OpenRefine and a web browser. Note: this is a Java program that runs on your machine (not in the cloud). It runs inside a web browser, but no web connection is needed.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It will not run correctly in Internet Explorer.
Download software from http://openrefine.org/
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by right-clicking and selecting "Extract ...".
Go to your newly created OpenRefine directory.
Launch OpenRefine by clicking openrefine.exe (this will launch a command prompt window, but you can ignore that - just wait for OpenRefine to open in the browser).
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It may not run correctly in Safari.
Download software from http://openrefine.org/.
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by double-clicking it.
Go to your newly created OpenRefine directory.
Launch OpenRefine by dragging the icon into the Applications folder.
Use Ctrl-click/Open ... to launch it.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser.
Download software from http://openrefine.org/.
Make a directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory.
Go to your newly created OpenRefine directory.
Launch OpenRefine by entering ./refine into the terminal within the OpenRefine directory.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
