31 R Resources

31.1 General Help

Check resources, packages, manuals, FAQs, vignettes at the Comprehensive R Archive Network (CRAN)
CRAN Task Views
Contributed Documentation at CRAN
The R Journal
The R FAQ
Many R blogs, dedicated websites, YouTube videos
Online community: StackOverflow
And of course, your friend Google

An Introduction to R from CRAN. Web link
Contributed Documentation from CRAN: It includes several documents with more than 100 pages. Some interesting ones for the beginners are mentioned below. Web link.
Using R for Data Analysis and Graphics - Introduction, Examples and Commentary by John Maindonald: This book covers basics of R as well as graphics and simple to advanced statistical tools. Weblink
Kickstarting R by Jim Lemon is a perfect book for the beginner. The book covered many of the basic statistical principles covered in this course. Web link
Introductory Statistics with R by Peter Dalgaard: The first two chapters cover the basics of R and the rest of the book includes several topics in statistics using R.
The R Book. by Michael J Crawley is a comprehensive treatment of R and wide-ranging statistical tools.
R Programming for Data Science by Roger D Peng covers several aspects of R programming in a greater depth. Web link
And many more…

Tidyverse is a collection of R packages that provides an integrated tool of data management and model building
Packages readr, haven and other packages to read data
The pipe operator %>% (from magrittr) with tidyr and dplyr packages to do data wrangling.
Packages purr, magrittr and glue for programming
A combination of packages tidymodels for modeling and statistical analysis
The package ggplot2 for plotting
A simple python wrapper to easily import packages that were designed to syntactically mimic the R tidyverse is pytidyverse