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https://github.com/dr-saad-la/r-resources


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README 

        
# Useful R Programming Resources



Welcome to this curated list of resources dedicated to R programming, Data Science, and Econometrics! This is a comprehensive collection of hand-picked materials that can be a great starting point for anyone who wants to learn more about using R for data analysis, statistical modeling, and econometric applications. 



In this list, you will find books, tutorials, courses, blogs, forums, and other helpful resources that cover a wide range of topics and skill levels. Whether you are a beginner or an advanced user, there is something for everyone in this list. We hope that you will find this collection useful and that it will help you to enhance your skills and knowledge in R programming, Data Science, and Econometrics.



Maintainer: [Dr. Saad Laouadi](https://github.com/DrSaadLa)



## R Installation and Setup 



  1. [The Comprehensive R Archive Network](https://cran.r-project.org/)

  2. [RStudio IDE](https://posit.co/downloads/)

  3. [ESS](https://ess.r-project.org/index.php?Section=home)

  4. [Eclipse StatET](https://projects.eclipse.org/projects/science.statet)



## Programming Books



### Elementary Programming Books

1. [R Programming: Zero to Pro](https://r02pro.github.io/)

2. [Introduction to Programming with R](https://discdown.org/rprogramming/index.html)

3. [An Introduction to R](https://colinfay.me/intro-to-r/)

4. [Best Coding Practices for R](https://bookdown.org/content/d1e53ac9-28ce-472f-bc2c-f499f18264a3/)



### Advanced Programming Books

  1. [Advanced R](https://adv-r.hadley.nz/index.html)

  2. [Functional Programming](https://dcl-prog.stanford.edu/)

  3. [Efficient R programming](https://csgillespie.github.io/efficientR/)

  4. [R Packages](https://r-pkgs.org/)

  5. [Licensing R](https://thinkr-open.github.io/licensing-r/)

  6. [Mastering Software Development in R](https://bookdown.org/rdpeng/RProgDA/)

  7. [The R Manuals](https://cran.r-project.org/)



## Data Science Books

  1. [Data Science with R Book](https://datasciencebook.ca/)

  2. [R for Data Science](https://r4ds.had.co.nz/index.html)

  3. [STAT 545](https://stat545.com/)

  4. [UC Business Analytics R Programming Guide](http://uc-r.github.io/)

  5. [Hands-On Spatial Data Science with R](https://spatialanalysis.github.io/handsonspatialdata/)



## Time Series Books

  1. [Applied Time Series Analysis with R](https://smac-group.github.io/ts/)

  2. [Forecasting: Principles and Practice](https://otexts.com/fpp3/)



## Econometrics with R Books 

  1. [Introduction to Econometrics with R](https://www.econometrics-with-r.org/)

  2. [Introduction to R for Econometrics](https://bookdown.org/kieranmarray/intro_to_r_for_econometrics/)



## Websites 



  1. [W3School](https://www.w3schools.com/r/default.asp)

  2. [Datamentor](https://www.datamentor.io/r-programming/)

  3. [javaTpoint](https://www.javatpoint.com/r-tutorial)

  4. [Software Carpentry](https://swcarpentry.github.io/r-novice-inflammation/)

  5. [John D. Cook](https://www.johndcook.com/blog/r_language_for_programmers/)

  6. [Count Bio](http://www.countbio.com/index.html)

  7. [KBroman](https://kbroman.org/datacarpentry_R_2016-08-23/01-intro-to-R.html)

  8. [Englelab](https://englelab.gatech.edu/useRguide/index.html)

## Blogs 

  1. [R-bloggers](https://www.r-bloggers.com/)

  2. [RStudio Blog](https://posit.co/blog/)

  3. [Tidyverse Blog](https://www.tidyverse.org/blog/)

  4. [Garrick Dan Buie](https://www.garrickadenbuie.com/blog/)

  5. [RWeekly](https://rweekly.org/)

  6. [DataCamp Blog](https://www.datacamp.com/blog)

  7. [Revolutions](https://blog.revolutionanalytics.com/about.html)

  8. [Flowing Data](https://flowingdata.com/)

  9. [Simply Statistics](https://simplystatistics.org/)

  10. [Yihui's Blog](https://yihui.org/en/)

  11. [statsandr](https://statsandr.com/)

## Github Repos

  1. [RStudio Github Repos](https://github.com/rstudio)