8  Summary

8.1 What did we learn?

8.1.1 Functions

  • Definitions of functions
  • Function argument
  • How to build and execute functions
  • How to use the dplyr mutate function
  • Some basic understanding of the seahtrue read_xfplate functions
  • Some of the seahtrue preprocess_xfplate functions
  • The run_seahtrue function

8.1.2 Outputs

  • What nested tibbles are, and why they are usefull
  • How to generate nested tibbles
  • How to use the purrr map function on nested tibbles
  • Get familiar with the semantics of the map function
  • The difference between .by and group_by
  • How to isolate or pluck data from a larger dataset
  • Get familiar with the seahtrue output nested tibble
  • The different parameters for time in a seahorse dataset
  • How to access the data in seahtrue output and use it in ggplot

8.2 What we did not learn?

  • How to run seahtrue on our own data
  • How all the assertions and input checking in the seahtrue package are implemented
  • More elaborate use cases of the map function from the purrr package, like map2 or map_dbl