Online books
A great source for learning basic aspects of R is the free and online book
R for Data Science by Hadley Wickham
This is more a data science handbook for starters rather than a statistics handbook.
All parts are usefull to read.
If you consider yourself a more experienced R user, still read
4.3. Pipes
5. Data tidying
19. Joins
25. Functions
Datacamp
The online course platform Datacamp is a great way to learn R. This is a very extensive online learning platform focused on data science, analytics, and programming skills. It offers a wide range of interactive courses, projects, and learning paths designed to teach users various aspects of data science, where we will particular use the modules on R.
If you are a Curvbend member and wish free access to all course material on datacamp, send an email to Lou Kruger: curvebend@rug.nl
You can work at your own pace and focus on things that you find most interested or needed to develop your skills
Here is a list of three tracks (set of courses) and a recommended order of courses within each track for taking different courses in Datacamp. use the links in this file to directly jump to the right course that you want to do.
The table shows the expected durating in hours of each course, and if we suggest you skip particular chapters within a course.
If you do part of a course, log out and log in again later, you can continue where you were.
The use speaks for itself. R runs inside the datacamp course, and you learn key concepts and how to develop scripts in R