R resources

R(studio) basics

https://www.datacamp.com/courses/free-introduction-to-r

http://tryr.codeschool.com/

http://swirlstats.com/students.html

tidyverse

https://www.tidyverse.org/

http://r4ds.had.co.nz/

http://www.dataschool.io/dplyr-tutorial-part-2/

http://rpubs.com/bradleyboehmke/data_wrangling

Parsing text data (regular expressions)

https://cran.r-project.org/web/packages/stringr/vignettes/stringr.html

ggplot2

http://www.cookbook-r.com/Graphs/

https://ggplot2.tidyverse.org

Radiant

Documentation site: https://radiant-rstats.github.io/docs

• Data menu: http://radiant-rstats.github.io/radiant.data
• Design menu: http://radiant-rstats.github.io/radiant.design
• Basics menu: http://radiant-rstats.github.io/radiant.basics
• Model menu: http://radiant-rstats.github.io/radiant.model
• Multivariate menu: http://radiant-rstats.github.io/radiant.multivariate

In R(studio) enter: help(package = "radiant")

Blog: http://vnijs.github.io/blog/

News

http://www.r-bloggers.com/

Questions and answers

http://stackoverflow.com/questions/tagged/r

Other

http://www.cookbook-r.com/

http://www.statmethods.net/

Official documentation

http://rpackages.ianhowson.com/

http://www.rdocumentation.org/

© Vincent Nijs (2019)