Publications by R | JLaw's R Blog
Exploring College Football Non-Conference Rivalries with {ggraph}
We’re in the middle of College Football’s bowl post-season and I’d been wanting to do a more in-depth post on networks using {tidygraph} and {ggraph} for a while. So now seemed like as good a time as any to explore some College Football data. I had used {ggraph} in prior posts on exploring season’s of MTV’s The Challenge and when sequen...
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Examining College Football Conference Realignment with {ggraph}
In my previous post I looked at College Football Non-Conference games to create a network map overlaid on top of the United States using the {ggraph} package. In this post I’ll be extending that to examine Conference Realignment, which is when colleges change from one conference to the next. Over the years, this has been caused by reactions to ...
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Predicting When Kickers Get Iced with {tidymodels}
I’m constantly on the lookout for things I can use for future posts for this blog. My goal is usually two-fold. First, what is a tool or technique I want to try/learn and second is there an interesting data set that I can use with those tools. I’d been wanting to play around with {tidymodels} for a while but hadn’t found the right problem. ...
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Does Icing the Kicker Really Work? A Causal Inference Exercise
In my prior post I looked at when coaches were most likly to ice a kicker where ‘icing a kicker’ means for a defense to call a timeout right before the offense is about to kick a field goal. In this post, I’ll be looking to apply causal inference techniques to see whether icing the kicker even matters. In a perfect world we’d run an A/B t...
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