Start here to learn R
r-exercises.com
Start here to learn R
1–10 of 45 posts
Re: Start here to learn R
#2All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration)
I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases: readr for reading files, dplyr for manipulating data, ggplot2 for plotting (the most important package!), and tidyr for reshaping data into a ggplot2-friendly long form.
Wickham himself has a very beginner-friendly, free book for learn R using his packages: http://r4ds.had.co.nz/index.html (far better than any tutorial I could write)
Re: Start here to learn R
#3All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration) I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases:…
The Hadleyverse is the best thing that ever happened to R: sane, intuitive tools that do what you expect with common-sense usage and examples. And don't forget stringr!
Re: Start here to learn R
#4> If you’re completely new to R, we suggest you simply start with the first topic, “Simple manipulations; numbers and vectors”.
Where is this? I couldn't see anything with the same name.
The first thing in the list: http://r-exercises.com/2015/10/09/vector-exercises/ starts by telling me I need to have read something else, which is a chapter in a long PDF.
I applaud the effort, but this feels confusing and I'm worried about people being discouraged right as they start.
Re: Start here to learn R
#5All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration) I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases:…
Go one step further with Wickham's purrr too. Offers well developed functional programming tools!
Re: Start here to learn R
#6These are interesting exercises. I would also add that what it means to learn, or begin to learn, a language in general but R in particular could vary widely.
Some people actually need to learn statistics while they are learning to express those concepts.
Some people need to learn idiomatic R. I really didn't think of R as very functional till I took Peng's (excellent) Coursera course.
Some people need to get a sense of the libraries available.
This is an intro to get some practice in the the classical, original purpose for S, Splus and R: linear algebra operations in R.
Re: Start here to learn R
#7All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration) I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases:…
Thanks for mentioning this. I have used dplyr, ggplot2, and a little of some others but I had no idea about Hadley and that they all worked together.
Re: Start here to learn R
#8All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration) I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases:…
Btw it's called the tidyverse now ;)
Re: Start here to learn R
#9All the tutorials involve using base R packages. While OK for a tutorial, this is not reflective for real-world data analysis both in performance and usability, a lesson I have learned the hard way. (After using it for three semesters in college, I almost quit R completely in frustration) I recommend going straight to the Hadleyverse packages for the common use cases, and read the vignettes for the common use cases:…
Thanks for mentioning this. I have used dplyr, ggplot2, and a little of some others but I had no idea about Hadley and that they all worked together.
No idea about Hadley?! Oh the horror :p
Re: Start here to learn R
#10A paid alternative is also datacamp.com
Has videos and interactive exercises you can do directly in the site. And btw, I am not affiliated with them, just a user.