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Don't repeat yourself or the DRY principle is one of the best practices to writing good R. When you repeat the same block of code you risk introducing errors. The solution is to write functions in R. Functions allow you to avoid repeating yourself and then you can call the function whenever you want to use that chunk of code. Pat demonstrates this by generating receiver operator characteristic (ROC) curves for data from a paper his lab published a few years ago. Pat will use RStudio and functions from the #ggplot2 package and other packages from #R and the tidyverse including #glue, #function, and more. The accompanying blog post can be found at https://www.riffomonas.org/code_club/.... Do you have a figure that you would like to receive a critique or help improving? Let me know and I'd be happy to arrange a guest appearance! If you're interested in taking an upcoming 3 day R workshop, email me at [email protected]! R: https://r-project.org RStudio: https://rstudio.com Raw data: https://github.com/riffomonas/raw_dat... Workshops: https://www.mothur.org/wiki/workshops You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Introduction 2:27 Dynamically filtering and recoding data w/ glue 6:06 Setting up a map function to create a column 7:31 Creating a function 14:05 Deploying function in map with unnest 15:38 Creating another function 16:52 Deploying for all three comparisons 18:39 Plotting ROC curves w/ geom_line 22:20 Recap