http://varianceexplained.org/r/tidy-genomics-biobroom/
by David Robinson
https://www.rstudio.com/resources/webinars/getting-started-with-r-markdown/
This 60 minute webinar introduces you to R Markdown. It covers similar content to the readings in video form.
by Garrett Grolemund
http://proquest.safaribooksonline.com.ezproxy.stanford.eduvideo/programming/r/9781491917046
A video introduction to dplyr.
Refer to the first two parts of this book (“Installation” and “Connect Git, GitHub, RStudio” if you have problems getting set up with Git and Github.
http://stat545.com/block016_secrets-happy-graphing.html
Len Keifer is Deputy Chief Economist at Freddie Mac, and posts many interesting analyses of economic data.
http://simplystatistics.org/2016/02/17/non-tidy-data/
An example, by Jeff Leek, of when tidy data isn’t as useful as a non-tidy structure.
by Nicholas Tierny
https://github.com/njtierney/naniar
This is an ggplot2 extension that adds comprehensive tools for visulising missing data.
by John Rauser
Slides at http://www.slideshare.net/JohnRauser/how-humans-see-data
The official RStudio source of RMarkdown documentation. We’re only scraping the surface of RMarkdown’s capabilities in this course; read here to unlock more of its power.
by Todd W. Schneider
This analysis uses R (along with other tools) to analyse over 20 million bike rides in NYC. As you read through the analysis think how you would do it yourself using the techniques you have learned so far.
by Todd W. Schneider
http://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/
This analysis uses much more data than the previous analysis. What additional challenges did Todd need to solve to allow him to work with this much data?
by Charlotte Wickham
https://github.com/cwickham/purrr-tutorial
This purrr tutorial doesn’t assume any knowledge of functions, providing an approachable introduction.
https://www.jstatsoft.org/v59/i10/
This article lays out more of the details behind tidy data, and works through a few more case studies. However, it uses a previous iteration of the tools, using reshape2 instead of tidyr. To see the code translated into tidyr, read the tidy data vignette.
by Kara Woo
http://proquest.safaribooksonline.com.ezproxy.stanford.eduvideo/programming/r/9781491963661
A video introduction to ggplot2.