|▶ Hands-On Programming with R: Write your own Functions and Simulations
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A very gentle introduction to programming with R. It starts very easy but covers step by step a wide range of topics. If you want to learn R from scratch and you are a newcomer to programming, then this book is definite for you! PDF, 7.3 MB. 232 pages. …
I endorse very much the pedagogical concept of this book. It teaches you all the knowledge to master the R programming language by way of three practical challenges: Simulating weighted dice, playing cards and a slot machine. These projects are chosen in a way to learn not only to program but also to understand important concepts of data science like sampling without and with replication. You write your first function already in chapter one!
Grolemund, G. (2014). Hands-On Programming with R: Write Your Own Functions and Simulations (1st ed.). Sebastopol, CA: O’Reilly and Associates.
|▶ R for Data Science
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I think this is the best introductory book for teaching data science with R. It introduces R, RStudio and tidyverse, a collection of important R packages. No previous programming experience necessary! …
Hadley Wickham is not only a legend in data science but also a gifted educator: Together with Garret Grolemund he explains importing, wrangling, exploring, modeling as well as communicating the results. Especially valuable are all the tips about the workflow and how to manage R projects.
|▶ swirl: Learn R, in R.
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Swirl teaches you R programming and data science interactively, at your own pace, and right in the R console! It's free of charge!
|Don't R alone!
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Noam Ross | A guide to tools for collaboration with R
|10 R packages every data scientist should know about
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Very useful R packages that every data scientist should be aware of.