Welcome to R fridays!

Getting Started

Welcome to R Fridays! The goal of R Fridays is to provide a group environment for solving problems in biology/biochemistry data analysis (best practices for statistics, visualization, etc.). Bring your own data and questions, or just come to learn from problems that others are working on.

R fridays are held every Friday from 3pm-4pm in Light Hall 618 (Vanderbilt University). We will strive to provide snacks.

Before your first R Friday, make sure that you have R and RStudio installed on your machine.


To check if R is installed on your machine, open up a command line (terminal) window and type

R --version

The above should produce something like the following:

## R version 3.5.3 (2019-03-11) -- "Great Truth"
## Copyright (C) 2019 The R Foundation for Statistical Computing
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## R is free software and comes with ABSOLUTELY NO WARRANTY.
## You are welcome to redistribute it under the terms of the
## GNU General Public License versions 2 or 3.
## For more information about these matters see
## http://www.gnu.org/licenses/.

If this doesn’t work, you can download R here.


RStudio is an integrated development environment (IDE) that simplifies writing and running R code. You can download RStudio Desktop here.

Key Resources

These two online textbooks are fantastic resources for learning best practices in statistics and R programming.

If you are new to R or statistics in R, we recommend reading at least the introduction of these books before your first R Friday. In total, the reading is ~ 20 minutes.

The readings are suggested starting points if you are new to R or statistics in R. Feel free to skip if they are review for you.


That’s pretty much it. If any of the above was confusing to you please don’t hesitate to email me or ping me on twitter.