Generate a set of time bins for a specific event.

Usage

time_grid(data.point, coef.t, delta.t, N.exp., T1., T2.)

Arguments

data.point: Point for which the binning is calculated, list with elements time (ts, scalar), event index (idx.p, scalar). Names are mandatory and should not be changed
coef.t: TimeBinning parameter: look breaks_exp()
delta.t: TimeBinning parameter: look breaks_exp()
N.exp.: TimeBinning parameter: look breaks_exp()
T1.: Start of the temporal domain, scalar
T2.: End of the temporal domain scalar.

Value

A data.frame with as many rows as the number of bins and fixed number of columns. The columns are

t.start : starting point of the bin (minimum = T1.).
t.end : end point of the bin. (maximum = T2.).
t.bin.name : unique bin identifier.
t.ref_layer : bin identifier for calculations
ts : time provided in data.point
idx.p : identifier provided in data.point

The bins are only between T1. and T2. or containing T1.

Examples

## EXAMPLE 1
event <- list(ts = 0, idx.p = 1)
time_grid(data.point = event, coef.t = 1, delta.t = 0.1, N.exp. = 8, T1. = 1, T2. = 20)
#>   t.start t.end t.bin.name t.ref_layer ts idx.p
#> 1     1.0   1.6    0.8-1.6   between-1  0     1
#> 2     1.6   3.2    1.6-3.2           6  0     1
#> 3     3.2   6.4    3.2-6.4           7  0     1
#> 4     6.4  12.8   6.4-12.8           8  0     1
#> 5    12.8  20.0    12.8-20      last-1  0     1