Reduce the time span of data — crop

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

crop_to(X, sampling_rate = NULL, tcues, T = 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)).
T	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.
T: 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(X = list(P2), r=c(1), panel_labels=c('Depth'))
         #plot shows the dive profile of the selected dive