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Statistics and Statistical Programming (Fall 2020)/pset7
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=== PC1 Import and update data === Data for all U.S. presidential elections 1952-2012 are [https://github.com/avehtari/ROS-Examples/raw/master/ElectionsEconomy/data/hibbs.dat available here]. Note that this points to a ".dat" file, which in this case is just a raw text file format that you can import using the following command: <code>read.table(url(<insert.url.here>), header=TRUE)</code>. (inserting the URL for the dataset in the appropriate spot). Each row corresponds to one presidential election since 1952. The variables provided are: * <code>year</code> The year of the presidential election. * <code>growth</code> Economic growth during the preceding four years (increase in per-capita income). * <code>vote</code> Proportion of the popular vote won by the incumbent party candidate. * <code>inc_party_candidate</code> Incumbent party candidate. * <code>other_candidate</code> Out-party candidate. The dataset does not include 2016, so we can add that by hand. You might recall that Hillary Clinton was the incumbent party candidate and Donald Trump was the out-party candidate that year. Clinton won approximately 51.1% of the popular vote and a reasonable estimate for per-capita income growth 2012-2016 is 2.2%. You can append this information to the imported dataset in a bunch of different ways. (I would personally do so using a call to <code>list()</code> nested inside a call to <code>rbind()</code> (e.g., <code>rbind(<hibbs_data>, list(<2016 row>))</code>). You could also explore the <code>add_row()</code> function in the tidyverse. As usual, your mileage may vary.)
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