pathviewr (version 1.1.8)

quick_separate_trajectories: Quick version of separate_trajectories()

Description

Mostly meant for internal use but available nevertheless.

Usage

quick_separate_trajectories(obj_name, max_frame_gap = 1, ...)

Value

A viewr object (tibble or data.frame with attribute pathviewr_steps that includes "viewr") in which a new column file_sub_traj is added, which labels trajectories within the data by concatenating file name, subject name, and a trajectory number (all separated by underscores).

Arguments

obj_name

The input viewr object; a tibble or data.frame with attribute pathviewr_steps that includes "viewr"

max_frame_gap

Unlike the corresponding parameter in separate_trajectories, must be a single numeric here.

...

Additional arguments passed to/from other pathviewr functions

Author

Vikram B. Baliga

Details

This function is designed to separate rows of data into separately labeled trajectories.

The max_frame_gap parameter determines how trajectories will be separated. max_frame_gap defines the largest permissible gap in data before a new trajectory is forced to be defined. In this function, only a single numeric can be supplied to this parameter (unlike the case in separate_trajectories).

See Also

Other data cleaning functions: gather_tunnel_data(), get_full_trajectories(), redefine_tunnel_center(), relabel_viewr_axes(), rename_viewr_characters(), rotate_tunnel(), select_x_percent(), separate_trajectories(), standardize_tunnel(), trim_tunnel_outliers(), visualize_frame_gap_choice()

Other functions that define or clean trajectories: get_full_trajectories(), separate_trajectories(), visualize_frame_gap_choice()

Examples

## This function is not recommended for general use.
## See separate_trajectories() instead