Every gap between consecutive observations equal, within tolerance.
Computed from the data each time it is asked rather than recorded,
because dropping rows changes the answer and a stored logical would go
on claiming the old one.
Arguments
- data
An aniframe object.
- tolerance
Relative tolerance: a gap counts as equal to the interval when it differs by no more than
tolerance * interval. Timestamps are rarely exactly equal, so comparing them with==says "irregular" for data that is regular to any precision that matters. Raise it for noisy timestamps, lower it to be strict.
Examples
af <- example_aniframe(n_obs = 5, n_individuals = 2, n_keypoints = 1)
is_sampling_regular(af)
#> [1] TRUE
# A gap in the recording
irregular <- af |> dplyr::filter(time != 3)
is_sampling_regular(irregular)
#> [1] FALSE