assign_date | R Documentation |
assign_date()
assigns dates to two sequential hours, assuming that the
interval between the start
and end
hour is less than or equal to 24
hours.
This function facilitates time arithmetic by placing time values without a date reference onto a timeline.
assign_date(start, end, ambiguity = 0)
start , end |
An |
ambiguity |
(Optional) a |
ambiguity
argumentIn cases when start
is equal to end
, there are two possibilities of
intervals between the two hours (ambiguity). That's because start
and end
can be at the same point in time or they can distance themselves by one day,
considering a two-day timeline.
start,end start,end start,end start,end start end start end 10:00 10:00 10:00 10:00 -----|---------------|---------------|---------------|-----> 0h 0h 0h 0h 24h 24h 24h
You must instruct assign_date()
on how to deal with this problem if it
occurs. There are three options to choose.
ambiguity = 0
: to consider the interval between start
and end
as 0
hours, i.e., start
and end
are located at the same point in time
(default).
ambiguity = 24
: to consider the interval between start
and end
as 24
hours, i.e., start
and end
distance themselves by one day.
ambiguity = NA
: to disregard these cases, assigning NA
as value.
assign_date()
uses the
Unix epoch (1970-01-01) date as
the start date for creating intervals.
The output will always have "UTC"
set as timezone. Learn more about
time zones in ?timezone
.
POSIXt
objectsPOSIXt
objects passed as argument to start
or end
will be stripped of their dates. Only the time will be considered.
Both POSIXct
and POSIXlt
are
objects that inherits the class POSIXt
. Learn more about it in
?DateTimeClasses
.
NA
valuesassign_date()
will return an Interval
NA
-NA
if start
or end
are NA
.
An Interval
object.
Other circular time functions:
cycle_time()
,
link_to_timeline()
,
shorter_int()
## Scalar example
start <- hms::parse_hms("23:11:00")
end <- hms::parse_hms("05:30:00")
assign_date(start, end)
#> [1] 1970-01-01 23:11:00 UTC--1970-01-02 05:30:00 UTC # Expected
start <- hms::parse_hms("10:15:00")
end <- hms::parse_hms("13:25:00")
assign_date(start, end)
#> [1] 1970-01-01 10:15:00 UTC--1970-01-01 13:25:00 UTC # Expected
start <- hms::parse_hms("05:42:00")
end <- hms::as_hms(NA)
assign_date(start, end)
#> [1] NA--NA # Expected
## Vector example
start <- c(hms::parse_hm("09:45"), hms::parse_hm("20:30"))
end <- c(hms::parse_hm("21:15"), hms::parse_hm("04:30"))
assign_date(start, end)
#> [1] 1970-01-01 09:45:00 UTC--1970-01-01 21:15:00 UTC # Expected
#> [2] 1970-01-01 20:30:00 UTC--1970-01-02 04:30:00 UTC # Expected
## To assign a 24 hours interval to ambiguities
start <- lubridate::as_datetime("1985-01-15 12:00:00")
end <- lubridate::as_datetime("2020-09-10 12:00:00")
assign_date(start, end, ambiguity = 24)
#> [1] 1970-01-01 12:00:00 UTC--1970-01-02 12:00:00 UTC # Expected
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