Checks that data is in the correct format and manipulates it for plotting.
Examples
bpt_manipulate_data_plot(
event_data,
location_data
)
#> # A tibble: 12 × 19
#> location_id groupsize fa f1 f0 fu ma m3 m2 m1 m0
#> <fct> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int>
#> 1 LOCID1 11 2 1 0 1 1 2 1 0 2
#> 2 LOCID1 14 3 1 2 1 1 0 1 2 1
#> 3 LOCID1 2 1 0 0 0 0 0 0 0 1
#> 4 LOCID2 18 2 3 1 1 1 0 2 3 3
#> 5 LOCID2 27 10 1 4 1 0 2 2 4 0
#> 6 LOCID2 13 1 2 3 0 0 0 1 2 2
#> 7 LOCID3 9 2 1 0 1 1 1 0 0 2
#> 8 LOCID3 18 3 0 2 0 2 0 2 2 5
#> 9 LOCID3 4 1 0 1 0 0 0 0 0 0
#> 10 LOCID4 18 8 2 2 0 1 0 0 1 0
#> 11 LOCID4 25 10 2 4 1 2 0 2 2 1
#> 12 LOCID4 19 5 1 2 0 0 1 1 3 2
#> # ℹ 8 more variables: mu <int>, ua <int>, u1 <int>, u0 <int>, uu <int>,
#> # study_year <fct>, date_time <dttm>, year <fct>