Rounds sampling intervals that are close, but not exactly the time interval
of interest (e.g., 240 s instead of 300 s). This can be performed on multiple
time intervals, but only using a single tolerance value. This function
prepares the data to be analyzed by
requires that all time intervals exactly match the primary time interval when
analyzing step lengths and turning angles. Columns storing the time intervals
and dates must be labeled
date, respectively, where
dates are of class
round_track_time(dat, id, int, tol, time.zone = "UTC", units)
A data frame that contains the sampling interval of the observations.
character. The name of the column storing the animal IDs.
numeric. A vector of the time interval(s) of on which to perform rounding.
numeric. A single tolerance value on which to round any
character. Specify the time zone for which the date-times
were recorded. Set to UTC by default. Refer to
character. The units of the selected time interval
A data frame where
date are both adjusted based
upon the rounding of time intervals according to the specified tolerance.
#load data data(tracks) #subset only first track tracks<- tracks[tracks$id == "id1",] #calculate step lengths and turning angles tracks<- prep_data(dat = tracks, coord.names = c("x","y"), id = "id") #round times to nearest interval of interest (e.g. 3600 s or 1 hr) tracks<- round_track_time(dat = tracks, id = "id", int = 3600, tol = 180, time.zone = "UTC", units = "secs")