swim_summary.qmd

---
title: "Summary"
---

## What did we learn?

### 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

### 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

## 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`