Using stat_summary from ggplot2 to add a statistics layer to plots in R (CC089)

Ever wonder what all of those stats functions do in ggplot2? In this episode of Code Club, Pat shows how you can use stat summary to add a summary layer to your data. No more creating summary data frames to plot on top of your raw data! Pat will use RStudio and functions from the #ggplot2 package including #stat_summary and other packages from the tidyverse. The accompanying blog post can be found at https://www.riffomonas.org/code_club/2021-04-07-stat_summary. 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] or check out https://www.riffomonas.org/workshops/! R: https://r-project.org RStudio: https://rstudio.com Raw data: https://github.com/riffomonas/raw_data/releases/latest Workshops: https://www.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 Introduction 4:28 Removing old code 7:23 Inserting stat_summary code to create different types of figures 11:51 Demo of fun.data functions 13:42 Demo of different geom options 17:38 Critique of figure created with point / linerange 19:35 Conclusion