rlanguage.Rmd

---
title: "The R language and environment"
---

vcfR is an R package.
Packages are collections of code that extend functionality to the basic R language.
Because of this, users will need a familiartiy with the R language before they will be successful with vcfR.
Here I've attempted to aggregate some links to help new R users familiarize themselves with the language.


* [Introductory Statistics with R](http://www.springer.com/us/book/9780387790534) by Peter Dalgaard.
This is part of how I learned R. One thing I like about it is that it is relatively short, so it only covers the basics and allows you to subsequently pusue your focus.


* [Tutorials for learning R](https://www.r-bloggers.com/how-to-learn-r-2/) from the R-bloggers.
The R-bloggers are a good source for all sorts of R information.
Here they've put together a list of links.


* [swirl](http://swirlstats.com/) a colleague recommended this.


* [The R Book](http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470973927.html) by Michael J. Crawley.
I don't have a lot of personal experience with this book, but it appears quite popular. 
This is an attempt to be more comprehensive than the Dalgaard book above.


* [R for Data Science](http://r4ds.had.co.nz/)
An introduction to R, data science and 'tidy data.'