I am a big Boston Bruins fan and have enjoyed the ups and downs over the last few years, regardless of the catastrophes that have occurred during the playoffs. The team struggled a few weeks ago, but have recently seemed to find their stride.
During that time frame, in my opinion Nathan Horton was a significant factor in those wins. For a long chunk of the season though, it felt like he was in a rut. It got me thinking about how we could actually use some data to see how “streaky” a player is. In this case, Nathan Horton.
The code below uses R to collect what we need from the web and plot the cumulative goals over the course of a season. Each dot on the line should represent a game, so it is easy to view games played versus production across each season of a career.
A big thank you to @Bernd on stackoverflow for his help and Hadley for making some great R packages. Also, I am starting to warm up to R Studio and think its a great tool for those coming from software like SAS or SPSS..
Resulting plot:
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
