quick_separate_trajectories: Quick version of separate_trajectories()

In pathviewr: Wrangle, Analyze, and Visualize Animal Movement Data

Quick version of separate_trajectories()

Description

Mostly meant for internal use but available nevertheless.

Usage

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

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

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).

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).

Author(s)

Vikram B. Baliga

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

pathviewr documentation built on March 31, 2023, 5:47 p.m.