Insert NA gaps to regularize a time series
insert_NAs(data, int, units)
A data frame that minimally contains columns for animal ID, date,
and time step. These must be labeled
integer. An integer that characterizes the desired interval on which to insert new rows.
character. The units of the selected time interval
A data frame where new rows have been inserted to regularize the
date column. This results in values provided for
date, and dt while inserting NAs for all other columns. Additionally, observations with duplicate date-times are removed.
#load data data(tracks) #remove rows to show how function works (create irregular time series) set.seed(1) ind<- sort(sample(2:15003, 500)) tracks.red<- tracks[-ind,] #calculate step lengths, turning angles, net-squared displacement, and time steps tracks.red<- prep_data(dat = tracks.red, coord.names = c("x","y"), id = "id") #round times to nearest interval tracks.red<- round_track_time(dat = tracks.red, id = "id", int = c(3600, 7200, 10800, 14400), tol = 300, units = "secs") #insert NA gaps dat.out<- insert_NAs(tracks.red, int = 3600, units = "secs")