references.Rmd

---
title: "References"
---

## Some useful sites (from which I shamelessly stole material for the course)

* [Advanced R](http://adv-r.had.co.nz/) by Hadley Wickham
* [R for Data Science](http://r4ds.had.co.nz/) by Garrett Grolemund and Hadley Wickham
* [RStudio Cheatsheets](https://www.rstudio.com/resources/cheatsheets/)
* [The R Inferno](http://www.burns-stat.com/documents/books/the-r-inferno/)
* [Bioconductor Workflows](https://www.bioconductor.org/help/workflows/)
* [CRAN Task Views](https://cran.r-project.org/web/views/)
* [UBC STAT 545](http://stat545.com/)
* [R Markdown reference](http://rmarkdown.rstudio.com/)

## A few useful blogs

* [Variance Explained](http://varianceexplained.org/)
* [Getting Genetics Done](http://www.gettinggeneticsdone.com/)
* [Rstudio's Blog](https://blog.rstudio.org/)
* [Revolutions](http://blog.revolutionanalytics.com/)
* [Dean Attali's blog](http://deanattali.com/)