Getting started:
R Studio Desktop:
Download R here and then download R Studio here.
You should have R installed before R Studio, so that they sync together properly.
R Studio Cloud:
Access R Studio Cloud here and log in using your Willamette credentials.
Using the cloud version is quicker to get started, but takes longer at the beginning of each session. Both are free. You're welcome to use either.
Webpages I've written to help you learn R commands:
Getting started including loading a dataset, and importing the ggplot packages
Graphics both in standard R and ggplot
Numerical summaries and data manipulation including mean and standard deviation,
making subsets of data, normal probability plots, correlation, regression, changing data from categorical to quantitative or back, and re-expressions
Probability including converting z scores to P values, and simulating random numbers
Inference including all the confidence intervals and hypothesis tests from this course
Other resources:
The R Graphics Cookbook
The R graph gallery