| select_x_percent {pathviewr} | R Documentation |
Select a region of interest within the tunnel
Description
Select data in the middle X percent of the length of the tunnel
Usage
select_x_percent(obj_name, desired_percent = 33, ...)
Arguments
obj_name |
The input viewr object; a tibble or data.frame with attribute
|
desired_percent |
Numeric, the percent of the total length of the tunnel that will define the region of interest. Measured from the center outwards. |
... |
Additional arguments passed to/from other pathviewr functions |
Value
A viewr object (tibble or data.frame with attribute
pathviewr_steps that includes "viewr") in which data outside
the region of interest have been removed.
Author(s)
Vikram B. Baliga
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(),
separate_trajectories(),
standardize_tunnel(),
trim_tunnel_outliers(),
visualize_frame_gap_choice()
Examples
motive_data <-
read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv",
package = 'pathviewr'))
## Clean the file. It is generally recommended to clean up to the
## "trimmed" step before running rotate_tunnel().
motive_rotated <-
motive_data %>%
relabel_viewr_axes() %>%
gather_tunnel_data() %>%
trim_tunnel_outliers() %>%
rotate_tunnel()
## Now select the middle 50% of the tunnel
motive_selected <-
motive_rotated %>%
select_x_percent(desired_percent = 50)
## Compare the ranges of lengths to see the effect
range(motive_rotated$position_length)
range(motive_selected$position_length)