The course ‘R for Publication’ was taught by Page Piccinini in 2016. The goal of this course is to give you the skills to do the statistics that are in current published papers, and make pretty figures to show off your results. While we will go over the mathematical concepts behind the statistics, this is NOT meant to be a classical statistics class. We will focus more on making the connection between the mathematical equation and the R code, and what types of variables fit into each slot of the equation.

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Much of the R code will come from the Tidyverse, including the well-known ggplot2, the less-well known dplyr, and the even less-well known (but still very useful!) purrr. If you already have experience with R, but are less familiar with these packages, this course will help you improve your R pipeline to be more readable and efficient.

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In addition to statistics and figure making, this course will get you acquainted with other aspects of R and RStudio to allow for more productive data analysis and management, including R Projects, Git, and Bitbucket.