Tidybiology: Introduction to Biological Data Science in R - Fall 2019 - Install
This workshop-style module provides an introduction to the emerging field of Data Science in R, including data analysis and visualization, with a particular focus on its utility for biological insight.
This short install video will walk you through the software you need to prepare for class.
1. Please sign up for a free RStudio Cloud account at . On the day of the class, I'll provide you with an RStudio Cloud project that contains all of the course materials.
2. please sign up for and install Slack at . I have created a Slack channel for our work together at , and will serve as an important resource for class and for your future projects. You can send a request to join the channel to [email protected].
3. As an important backup should there be problems with the classroom internet connection, or if you're following along at home, then I will show you how to download:
* A recent version of R, which is available for free at cran.r-project.org
* A recent version of RStudio Desktop, available for free at www.rstudio.com/download (use the RStudio Desktop Open Source License version).
* The R packages we will use, which you can install by connecting to the internet, opening RStudio, and running two sequential commands at the command line:
`install.packages(c("tidyverse", "rmarkdown", "devtools", "gridExtra"))`
`devtools::install_github("hirscheylab/tidybiology")`
Course materials are located at: