Further reading

There are many excellent R resources available online. Some are:

• R for data science: https://r4ds.had.co.nz/
• Dynamic document generation: https://yihui.org/knitr/
• Writing your own R package: https://r-pkgs.org/
• Advanced R: https://adv-r.hadley.nz/
• Efficient R programming: https://bookdown.org/csgillespie/efficientR/
• plotly for R book: https://plotly-r.com/index.html
• Blog posts contributed by R users: https://www.r-bloggers.com/

Programming services & version control:

• Hosting Shiny Apps: https://www.shinyapps.io/
• Version control software, e.g. git: https://git-scm.com/
• GitHub: https://github.com/
• Continuous integration services: https://travis-ci.org/
• Code coverage services: https://codecov.io/