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A swirl is an interactive way of learning R by installing a package called {swirl} into R and then installing a course.
I have used swirls in the Data Science Courses on Coursera and found them a useful way of learning and testing your knowledge.
swirl is installed as a package into R using the following command in R (internet connection required).
> install.packages("swirl")
Then launching the swirl library and run it.
> library("swirl")
> swirl()
To locate a swirl course use the following command.
?InstallCourses
Sources: Swirlstats
There are a list of courses available in the swirl repository on GitHub. There are 3 levels of courses available.
Beginner
- R Programming: The basics of programming in R
- R Programming Alt: Same as the original, but modified slightly for in-class use
- Data Analysis: Basic ideas in statistics and data visualization
- Mathematical Biostatistics Boot Camp: One- and two-sample t-tests, power, and sample size
- Open Intro: A very basic introduction to statistics, data analysis, and data visualisation
Intermediate
- Regression Models: The basics of regression modeling in R
- Getting and Cleaning Data: dplyr, tidyr, lubridate, oh my!
Advanced
- Statistical Inference: This intermediate to advanced level course closely follows the Statistical Inference course of the Johns Hopkins Data Science Specialization on Coursera.
To install a course you can use the following commands in R
library(swirl)
install_from_swirl("Course Name Here")
swirl()Datacamp have recently released a free browser based R learning tool. This is a browser based version to learn R based on a flipcard version of swirl teaching you in bite sized chunks.
Sources:
Max Hemingway 