Resources
Books
Some recommended R books…
- R for Data Science by Hadley Wickham & Garrett Grolemund - A comprehensive guide to data science using R and the tidyverse.
- Advanced R by Hadley Wickham - A deep dive into the R programming language and its advanced features.
- The Art of R Programming by Norman Matloff - A thorough introduction to R programming for beginners and experienced programmers alike.
- R in Action by Robert Kabacoff - A practical guide to R with numerous examples and case studies.
- Data Science with R by Garrett Grolemund & Hadley Wickham - A hands-on guide to data science using R.
- Practical Statistics for Data Scientists by Peter Bruce & Andrew Bruce - A practical guide to statistical methods for data science using R.
Packages
List of R packages containers…
- CRAN - The Comprehensive R Archive Network, the primary repository for R packages.
- Bioconductor - A repository for bioinformatics and computational biology packages in R.
- Ropensci - A collection of R packages for open science and reproducible research.
Tutorials
Links to tutorials…
- RStudio Education - A variety of tutorials and resources for learning R and RStudio.
- Swirl - An interactive learning platform that teaches R programming and data science directly in the R console.
- DataCamp - Online courses and tutorials for learning R and data science.
- Coursera R Courses - A variety of R programming courses available on Coursera.
- YouTube Channels - Numerous channels and videos dedicated to R programming and data science.
References
Useful references…
- RStudio Cheatsheets - Handy reference sheets for various R packages and functions.
- CRAN Task Views - Curated lists of R packages for specific topics.
- Tidyverse - A collection of R packages designed for data science.