Convert movement variables from continuous to discrete values for analysis by segment_behavior.

discrete_move_var(dat, lims, varIn, varOut)



A data frame that contains the variable(s) of interest to convert from continuous to discrete values.


A list of the bin limits for each variable. Each element of the list should be a vector of real numbers.


A vector of names for the continuous variable stored as columns within dat.


A vector of names for the storage of the discrete variables returned by the function.


A data frame with new columns of discretized variables as labeled by varOut.


#load data data(tracks) #subset only first track tracks<- tracks[tracks$id == "id1",] #calculate step lengths and turning angles tracks<- prep_data(dat = tracks, coord.names = c("x","y"), id = "id") #round times to nearest interval of interest (e.g. 3600 s or 1 hr) tracks<- round_track_time(dat = tracks, id = "id", int = 3600, tol = 180, = "UTC", units = "secs") #create list from data frame tracks.list<- df_to_list(dat = tracks, ind = "id") #filter observations to only 1 hr (or 3600 s) tracks_filt.list<- filter_time(dat.list = tracks.list, int = 3600) #define bin number and limits for turning angles and step lengths angle.bin.lims=seq(from=-pi, to=pi, by=pi/4) #8 bins dist.bin.lims=quantile(tracks[tracks$dt == 3600,]$step, c(0,0.25,0.50,0.75,0.90,1), na.rm=TRUE) #5 bins # Assign bins to observations tracks_disc.list<- purrr::map(tracks_filt.list, discrete_move_var, lims = list(dist.bin.lims, angle.bin.lims), varIn = c("step", "angle"), varOut = c("SL", "TA"))