R is a statistical software and a scripting language that has become one of the most frequently used tools in many STEM fields. This workshop will provide an introduction to R. The course is geared toward graduate students, postdocs, or faculty who have biological experience but have limited programming experience. The goal of the workshop is to teach participants how to handle data in R and how to visually explore data in R. We will also cover the use of the program RStudio in the workshop. Rstudio is a program designed to facilitate coding in R.

To prepare for the workshop follow the steps below. If you have any difficulties in installing software, please contact the workshop coordinator Heath Blackmon.

1) Install the version of R appropriate for your computer from the R download page.

2) Install the free version of RStudio from the RStudio download page.

3) Open Rstudio and ensure that the program loads.

4) Once Rstudio is open install the package ggplot2. you can do this by running the following code in R:
install.packages("tidyverse")

Thursday March 23
2:00-5:00 PM
Room: TBD

Schedule

2:00 – 3:00	R and RStudio basics
	Reading and writing data
3:00 – 4:00	Data Visualizations
4:00 – 5:00	Scripting workflows with RMarkdow

Lots of additional resources are available at the R website.
Additional courses focussing on R are available at code school.