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ggplot2 comes with numerous options for setting the overall appearance of a figure using its theme functions. Did you know you can create your own custom theme? In this Code Club, Pat will share how to create your own ggplot2 them by creating a theme_darkmode function and applying it to a slope plot that he has been creating in recent episodes. The data depict the percentage of people in 15 countries who would be willing to receive the COVID-19 vaccine as of August and October of 2020. Pat uses the #theme functions from #ggplot2 and a variety of functions from the dplyr, showtext, and ggtext packages in #RStudio. The accompanying blog post can be found at https://riffomonas.org/code_club/2021.... Want more practice on the concepts covered in Code Club? You can sign up for my weekly newsletter at https://shop.riffomonas.org/youtube to get practice problems, tips, and insights. R: https://r-project.org RStudio: https://rstudio.com Workshops: https://www.mothur.org/wiki/workshops If you're interested in taking an upcoming 3 day R workshop be sure to check out our schedule at https://riffomonas.org/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 Themes with ggplot2 4:15 Creating a framework for a new theme 6:21 ggplot2's %+replace% operator 9:27 Building theme_darkmode 15:01 Sending variables to theme_darkmode 18:28 Hiding portions of gridlines 21:47 Manipulating appearance of legend 22:56 Finalizing appearance of figure 23:49 Value of creating theme functions