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supplements.yml
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supplements.yml
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- slug: wickham-purrr
href: https://github.com/cwickham/purrr-tutorial
text: RStudio conference purrr tutorial
author: Charlotte Wickham
desc: >
This purrr tutorial doesn't assume any knowledge of functions, providing
an approachable introduction.
- slug: rmarkdown
href: http://rmarkdown.rstudio.com/
text: R Markdown homepage
desc: >
The official RStudio source of R Markdown documentation.
We're only scraping the surface of R Markdown's capabilities in
this course; read here to unlock more of its power.
- slug: happy-git
href: http://happygitwithr.com
text: Happy Git and GitHub for the useR
desc: >
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.
needs: [setup]
- slug: rauser-how-humans-see
href: https://youtu.be/fSgEeI2Xpdc
text: How humans see data
author: John Rauser
desc: Slides at <http://www.slideshare.net/JohnRauser/how-humans-see-data>
needs: [vis-theory]
- slug: grolemund-wrangle
safari: video/programming/r/9781491917046
text: Expert data wrangling with R
author: Garrett Grolemund
desc: A video introduction to dplyr.
needs: [manip-basics]
- slug: woo-vis
safari: video/programming/r/9781491963661
text: Data Visualisation in R with ggplot2
author: Kara Woo
desc: A video introduction to ggplot2.
needs: [vis-basics]
- slug: grolemund-rmarkdown
href: https://www.rstudio.com/resources/webinars/getting-started-with-r-markdown/
text: Getting Started with R Markdown
desc: >
This 60 minute webinar introduces you to R Markdown. It covers
similar content to the readings in video form.
needs: [rmarkdown-basics]
- slug: keifer-blog
href: http://lenkiefer.com
text: Len Keifer's blog
desc: >
Len Keifer is Deputy Chief Economist at Freddie Mac, and posts many
interesting analyses of economic data.
needs: [vis-basics, manip-basics]
- slug: schneider-bikes
href: http://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/
text: "A Tale of Twenty-Two Million Citi Bike Rides: Analyzing the NYC Bike Share System"
author: Todd W. Schneider
desc: >
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.
- slug: schneider-taxis
href: http://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/
text: Analyzing 1.1 Billion NYC Taxi and Uber Trips, with a Vengeance
author: Todd W. Schneider
desc: >
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?
- slug: naniar
href: https://github.com/njtierney/naniar
text: naniar
author: Nicholas Tierny
desc: >
This is an ggplot2 extension that adds comprehensive tools for
visulising missing data.
needs: [missing-values]
- slug: biobroom
href: http://varianceexplained.org/r/tidy-genomics-biobroom/
text: Tidying computational biology models with biobroom
desc: by David Robinson
needs: [tidy-tibble, model-basics]
- slug: leek-non-tidy
href: http://simplystatistics.org/2016/02/17/non-tidy-data/
text: Non-tidy data
desc: >
An example, by Jeff Leek, of when tidy data isn't as useful as
a non-tidy structure.
needs: [tidy-tibble]
- slug: wickham-tidy-data
href: https://www.jstatsoft.org/v59/i10/
text: "Tidy Data"
desc: >
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](https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html).
needs: [tidy-tibble]
- slug: happy-graphing
href: http://stat545.com/block016_secrets-happy-graphing.html
text: Secrets of a happy graphing life
needs: [vis-basics, tidy-tibble]