R for Everyone
  1. Appendices
  2. A  Further resources
  • Start
    • 1  Introduction
  • Foundations & Objects
    • 2  Foundations of R
    • 3  Foundations of R exercises
    • 4  R objects
    • 5  R objects exercises
    • 6  R objects solutions
  • Files, Subsetting, & Tips
    • 7  Files and subsetting data
    • 8  Files exercises
    • 9  Files solutions
    • 10  Handy tips & tricks
    • 11  Handy exercises
    • 12  Handy Solutions
  • Plots
    • 13  Histograms and Line graphs
    • 14  Scatter plots and Box plot
    • 15  Plots exercises
    • 16  Plots solutions
  • Stats & Programming
    • 17  Basic stats
    • 18  Stats exercises
    • 19  Stats solutions
    • 20  Basic programming
    • 21  Student grades example
  • Appendices
    • A  Further resources

In this chapter

  • A.1 R user groups and forums
    • A.1.1 Chapter 7 files
    • A.1.2 Chapter 8 files
    • A.1.3 Chapter 10-11 files
    • A.1.4 Chapter 13-16 files
    • A.1.5 Chapter 17-19
    • A.1.6 Chapter 20-21
  • A.2 Base R books and links
  • A.3 R cheat sheets
  • A.4 Advanced R topics
  • A.5 Datasets

Appendix A — Further resources

A.1 R user groups and forums

  • https://jumpingrivers.github.io/meetingsR/r-user-groups.html#europe
  • https://www.r-consortium.org/blog/2019/09/09/r-community-explorer-r-user-groups
  • https://r-dir.com/community/forums.html

##Workshop files {#workshopfiles}

A.1.1 Chapter 7 files



A.1.2 Chapter 8 files



A.1.3 Chapter 10-11 files



A.1.4 Chapter 13-16 files



A.1.5 Chapter 17-19



A.1.6 Chapter 20-21






A.2 Base R books and links

Quick-R: https://www.statmethods.net/index.html

R Cookbook: https://rc2e.com/

A.3 R cheat sheets

https://rstudio.com/resources/cheatsheets/

A.4 Advanced R topics

R packages: https://r-pkgs.org/

Efficient R Programming: https://csgillespie.github.io/efficientR/

R for Data Science: https://r4ds.had.co.nz/

R Graphics Cookbook: https://r-graphics.org/

Fundamentals of Data Visualization: https://clauswilke.com/dataviz/

R BOOKDOWN (used to make this book): https://bookdown.org/

Hands-On Programming with R: https://rstudio-education.github.io/hopr/

Efficient R programming: https://csgillespie.github.io/efficientR/

A.5 Datasets

I got a lot of my datasets from Kaggle

21  Student grades example