crop_to: Reduce the time span of data
In tagtools: Work with Data from High-Resolution Biologging Tags

crop_to

R Documentation

Reduce the time span of data

Description

This function is used to reduce the time span of data by cropping out any data that falls before and after two time cues.

Usage

crop_to(X, sampling_rate = NULL, tcues, times = NULL)

Arguments

`X`	A sensor list, vector, or matrix. X can be regularly or irregularly samples data in any frame and unit.
`sampling_rate`	The sampling rate of X in Hz. This is only needed if X is not a sensor structure.
`tcues`	A two-element vector containing the start and end time cues in seconds of the data segment to keep (i.e., tcues <- c(start_time, end_time)).
`times`	A vector of sampling times for X. This is only needed if X is not a sensor list and X is not regularly sampled.

Value

Cropped data in the same format as X, unless X is irregularly sampled and NOT a sensor list. In that case, the function returns a list with 2 elements:

X: A sensor list, vector or matrix containing the cropped data segment. If the input is a sensor list, the output will also be. The output has the same units, frame and sampling characteristics as the input.
times: A vector of sampling times for Y. This is only returned if X is irregularly sampled and X is not a sensor list. (If X is a sensor list, the sampling times are stored in the list.)

Examples

         d <- find_dives(beaked_whale$P,300) 
         P2 <- crop_to(beaked_whale$P, tcues = c(d$start[1], d$end[1]))	#crop to 1st dive
         plott_base(X = list(P2), r=c(1), panel_labels=c('Depth'))

tagtools documentation built on June 28, 2024, 5:07 p.m.