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.
R:
To check if R is installed on your machine, open up a command line (terminal) window and type
R --versionThe 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:
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.
- Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
- R for Data Science by Garret Grolemund and Hadley Wickham
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.