resources

This page will grow as the semester progresses. If you come across something useful for you, chances are it'll be useful for others too. Let me know and I'll add it here.

There is also the closed resources page where we'll put everything related to Marlboro, the code snippets from class and more.

Things Everyone Will Need

• OpenIntro Stats book
• Getting R. You probably want one of the following two choices: *free software R; this will get you the main package and you can then interact with it via other text files and spreadsheets. *RStudio, which has more peripheral things built-in.
• The homepage for Calling Bullshit.

Things Related to R and ggplot2

• Cheat sheet with lots of the basic R commands.
• R-bloggers. What it sounds like. It aggregates blogs about R from lots (~750) different bloggers. Very varied and lots of good stuff on lots of topics.
• Text Editors:
  • Notepad++ (windows)
  • Atom (all platforms)
• A good collection of many of the standard graph types and how to create them with ggplot2.
• I'm not the only person to think that using ggplot2 in a first course is the best option.
• Quick-R (Note that it teaches both base graphics and ggplot2; if you work through any of this site, be sure to pick the gplot2 path).
• Step-by-step tutorial for getting started with ggplot2 (I've linked to the middle where it starts on ggplot2; they've already talked about data manipulation. I think all you need to know to get the ggplot stuff working though is that you might need to use install.packages if the library commands aren't working).
• Another ggplot2 starter tutorial (seems a bit bare bones, but has a batch of good templates to follow).
• An hour-long youtube intro to ggplot2. I've just looked at snatches here and there and it seems promising. Uses RStudio.
• Basic starter guide to ggplot2 that focuses on the qplot function, which is a bit easier but less powerful than ggplot.
• Another ggplot2 tutorial, with the official Claire O'Pray seal of approval.

Data Things

• Documentation for the built-in data sets.
• The guide to the fivethirtyeight data set.
• The data sets used in the OpenIntro text.
• A long list of varied data sets. However, these are not necessarily primed and ready to use in R.

Data Visualization

• Charts do's and don't's -- do you agree?
• Misleading with Statistics
• Data looks better naked
• How dreamy is Matt Damon? (scroll down for the graph)
• Skeptical science graphics
• Information is beautiful
• Data visualizations that make no sense
• 7 Basic rules for charts and graphs
• Paths to Congress
• 538 2018
• Fundamentals of Data Visualization by Wilke. Looks to be an excellent, comprehensive exploration of making clear charts.

More fun stuff

• Spurious correlations
• Storks deliver babies
• The Monty Hall Problem
• Monty Hall Simulation
• Radiolab episode with the Milgram experiment.
• Another relevant Radiolab episode about stereotype threat.