How to clean and join data from mothur with the dplyr R package (CC101)

With ggplot2, the dplyr R package is the foundation of the tidyverse. In this episode of Code Club, Pat shows how to use dplyr to clean and join data generated from the software package. He will cover select, rename, rename_all, mutate, separate, pivot_longer, str_replace, str_replace_all, group_by, summarize, inner_join, anti_join, and more. In this overview, you&get a sense of how powerful dplyr is for working with data. Do you have a figure that you would like to receive a critique or help improving? Let me know and I&be happy to arrange a guest appearance! You can also find complete tutorials for learning R with the tidyverse using... 0:00 Overview 6:02 Cleaning up metadata 8:26 Cleaning up OTU counts table 11:39 Cleaning up taxonomy data 17:54 Joining data frames 21:05 Calculating relative abundances 23:17 Tidying by taxonomy 24:53 Conclusion