- Introductions
- Class overview
- Getting R up and running
John Muschelli
Assistant Scientist, Department of Biostatistics
PhD in Biostatistics, ScM in Biostatistics
Email: [email protected]
Andrew Jaffe
Lead Investigator, Lieber Institute for Brain Development
Associate Professor, Department of Mental Health, JHSPH
PhD in Epidemiology, MHS in Bioinformatics
Email: [email protected]
R is a language and environment for statistical computing and graphics
R is the open source implementation of the S language, which was developed by Bell laboratories
R is both open source and open development
(source: http://www.r-project.org/)
Powerful and flexible
Free (open source)
Extensive add-on software (packages)
Designed for statistical computing
High level language
Fairly steep learning curve
“Programming” oriented
Minimal interface
Little centralized support, relies on online community and package developers
Annoying to update
Slower, and more memory intensive, than the more traditional programming languages (C, Java, Perl, Python)
What do you hope to get out of the class?
Why else to use R?
http://johnmuschelli.com/intro_to_r
Materials will be uploaded the night before class
Install the latest version from: http://cran.r-project.org/
We have an R package called jhur that will make sure all the packages are installed.
You can just copy and paste the below code into your console - we’ll explain what it all means in the next day or two
install.packages("remotes")
remotes::install_github("muschellij2/jhur")
Note it may take ~5-10 minutes to run.