time_point_spanning_seq() generates a regular sequence along the span of
x, i.e. along [min(x), max(x)]. The sequence is generated at the
precision of x.
Details
Missing values are automatically removed before the sequence is generated.
If you need more precise sequence generation, call range() and seq()
directly.
Examples
x <- as_naive_time(year_month_day(2019, c(1, 2, 1, 2), c(15, 4, 12, 2)))
x
#> <naive_time<day>[4]>
#> [1] "2019-01-15" "2019-02-04" "2019-01-12" "2019-02-02"
time_point_spanning_seq(x)
#> <naive_time<day>[24]>
#> [1] "2019-01-12" "2019-01-13" "2019-01-14" "2019-01-15" "2019-01-16"
#> [6] "2019-01-17" "2019-01-18" "2019-01-19" "2019-01-20" "2019-01-21"
#> [11] "2019-01-22" "2019-01-23" "2019-01-24" "2019-01-25" "2019-01-26"
#> [16] "2019-01-27" "2019-01-28" "2019-01-29" "2019-01-30" "2019-01-31"
#> [21] "2019-02-01" "2019-02-02" "2019-02-03" "2019-02-04"
# The sequence is generated at the precision of `x`
x <- as_naive_time(c(
year_month_day(2019, 1, 1, 5),
year_month_day(2019, 1, 2, 10),
year_month_day(2019, 1, 1, 3)
))
time_point_spanning_seq(x)
#> <naive_time<hour>[32]>
#> [1] "2019-01-01T03" "2019-01-01T04" "2019-01-01T05" "2019-01-01T06"
#> [5] "2019-01-01T07" "2019-01-01T08" "2019-01-01T09" "2019-01-01T10"
#> [9] "2019-01-01T11" "2019-01-01T12" "2019-01-01T13" "2019-01-01T14"
#> [13] "2019-01-01T15" "2019-01-01T16" "2019-01-01T17" "2019-01-01T18"
#> [17] "2019-01-01T19" "2019-01-01T20" "2019-01-01T21" "2019-01-01T22"
#> [21] "2019-01-01T23" "2019-01-02T00" "2019-01-02T01" "2019-01-02T02"
#> [25] "2019-01-02T03" "2019-01-02T04" "2019-01-02T05" "2019-01-02T06"
#> [29] "2019-01-02T07" "2019-01-02T08" "2019-01-02T09" "2019-01-02T10"