
Visualize the consequence of using various max_frame_gap values
Source:R/plotting_functions.R
visualize_frame_gap_choice.RdRun separate_trajectories() with many different frame gaps to help determine what value to use
Value
A plot and a tibble, each of which shows the total number of
trajectories that result from using the specified range of
max_frame_gap values.
Details
The input viewr object (obj_name) should likely be an object
that has passed through the select_x_percent() step.
See also
Other data cleaning functions:
gather_tunnel_data(),
get_full_trajectories(),
quick_separate_trajectories(),
redefine_tunnel_center(),
relabel_viewr_axes(),
rename_viewr_characters(),
rotate_tunnel(),
select_x_percent(),
separate_trajectories(),
standardize_tunnel(),
trim_tunnel_outliers()
Other plotting functions:
plot_by_subject(),
plot_viewr_trajectories()
Other functions that define or clean trajectories:
get_full_trajectories(),
quick_separate_trajectories(),
separate_trajectories()
Examples
library(pathviewr)
## Import the example Motive data included in the package
motive_data <-
read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv",
package = 'pathviewr'))
motive_selected <-
motive_data %>%
relabel_viewr_axes() %>%
gather_tunnel_data() %>%
trim_tunnel_outliers() %>%
rotate_tunnel() %>%
get_velocity() %>%
select_x_percent(desired_percent = 50)
visualize_frame_gap_choice(motive_selected, loops = 10)
#> [[1]]
#> # A tibble: 10 × 3
#> frame_gap_allowed trajectory_count file_id
#> <dbl> <dbl> <chr>
#> 1 1 15 motive_selected
#> 2 2 13 motive_selected
#> 3 3 13 motive_selected
#> 4 4 13 motive_selected
#> 5 5 13 motive_selected
#> 6 6 13 motive_selected
#> 7 7 13 motive_selected
#> 8 8 13 motive_selected
#> 9 9 13 motive_selected
#> 10 10 13 motive_selected
#>
#> [[2]]
#> NULL
#>