Introductory Statistics with R

Jackson Laboratory

Online

Mar 22-25, 2022

9:00 am - 12:00 pm EST (1:00 pm - 4:00 pm UTC)

Instructors: Olaitan Awe, Neil Kindlon, Kurt Showmaker, Sue McClatchy

Helpers: Frank Zappulla, George Savvidis, Ahmed Sadeque

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General Information

Science is a multi-step process: once you’ve designed an experiment and collected data, the real fun begins! Introductory Statistics with R will teach you how to start this process using R and RStudio. We will begin with raw data, perform exploratory analyses, and learn how to plot results graphically.

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.

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

When: Mar 22-25, 2022. Add to your Google Calendar.

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). 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 olaitan.awe@jax.org or susan.mcclatchy@jax.org for more information.

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


Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Post-workshop Survey


Schedule

Tue Mar 22

09:00 Introducing R and RStudio
10:30 Morning break
11:00 Vectors
11:55 Wrap-up
12:00 END

Wed Mar 23

09:00 Subsetting Vectors and Missing Data
10:30 Morning break
11:00 Loading Data into R
11:55 Wrap-up
12:00 END

Thu Mar 24

09:00 Data Frames and Factors
10:30 Morning break
11:00 Descriptive Calculations
11:55 Wrap-up
12:00 END

Fri Mar 25

09:00 Data Transformation and Cleaning
10:30 Morning break
11:00 Data Visualization (Continued)
11:45 Wrap-up
11:50 Post-workshop Survey
12:00 END

Setup

To participate in a workshop, you will need access to software as 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.

Install the videoconferencing client

If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.

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 Zoom 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 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.

Video Tutorial

Instructions for R installation on various Linux platforms (debian, fedora, redhat, and ubuntu) can be found at <https://cran.r-project.org/bin/linux/>. These will instruct you to use your package manager (e.g. for Fedora run sudo dnf install R and for Debian/Ubuntu, add a ppa repository and then run sudo apt-get install r-base). Also, please install the RStudio IDE.