Best books and online classes for learning R
Happy New Year!
How about a resolution to learn something new in 2018?
Under the time-honored medical school principle of “See One, Do One, Teach One,” I am preparing to help medical students use the R programming language. This post is to share what I’ve learned about learning R.
Set up your PC: download R and then download RStudio.
Advice from a friend who teaches machine learning at Harvard… “For a traditional procedural programmer”: read R Cookbook (O’Reilly); “For someone with low-level or Lisp knowledge”: read Advanced R (CRC).
[Somewhat tangentially, he recommended An Introduction to Statistical Learning, with Applications in R (James, et al; Springer), or The Elements of Statistical Learning (Springer), which can be used to awe friends with all of the equations and graphs.]
If you’d rather watch lectures and take short quizzes, start with the free edX course Data Science: R Basics. The next step on edX is Statistics and R, part of a seven-course series.
Separately, I’m not sure that I love R so far. “Like APL without the special keyboard” seems like a fair description. All kinds of magic happen with just a character or two and I worry that code won’t be readable, maybe even by the original author!
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