filter_data: Function to filter trajectories based on movement and...

In pennekampster/bemovi: BEMOVI, software for extracting BEhaviour and MOrphology from VIdeos

Description

The function creates a dataframe containing all trajectories that are valid for further analysis by selecting on minimum net displacement, detection rate, trajectory length and the median step_length

Usage

filter_data(raw_data, net_filter, duration_filter, detect_filter,
  median_step_filter)

Arguments

raw_data	dataframe containing the rawdata: X- and Y-coordinates, frame, file and trajectory name, morphology and movement metrics
net_filter	minimum net displacement to be considered a valid trajectory (in the length scale specified)
duration_filter	minimum duration to be considered a valid trajectory (in seconds)
detect_filter	minimum detection rate to be considered a valid trajectory (a proportion between 0 and 1)
median_step_filter	threshold such that half of the step lengths are above the specified value

Value

returns a dataset with all fixes of valid trajectories

pennekampster/bemovi documentation built on May 25, 2019, 12:46 a.m.