time_point_count_between() counts the number of precision units between start and end (i.e., the number of days or hours). This count corresponds to the whole number of units, and will never return a fractional value.

This is suitable for, say, computing the whole number of days between two time points, accounting for the time of day.

## Usage

time_point_count_between(start, end, precision, ..., n = 1L)

## Arguments

start, end

[clock_time_point]

A pair of time points. These will be recycled to their common size.

precision

[character(1)]

One of:

• "week"

• "day"

• "hour"

• "minute"

• "second"

• "millisecond"

• "microsecond"

• "nanosecond"

...

These dots are for future extensions and must be empty.

n

[positive integer(1)]

A single positive integer specifying a multiple of precision to use.

## Value

An integer representing the number of precision units between start and end.

## Details

Remember that time_point_count_between() returns an integer vector. With extremely fine precisions, such as nanoseconds, the count can quickly exceed the maximum value that is allowed in an integer. In this case, an NA will be returned with a warning.

## Comparison Direction

The computed count has the property that if start <= end, then start + <count> <= end. Similarly, if start >= end, then start + <count> >= end. In other words, the comparison direction between start and end will never change after adding the count to start. This makes this function useful for repeated count computations at increasingly fine precisions.

## Examples

x <- as_naive_time(year_month_day(2019, 2, 3))
y <- as_naive_time(year_month_day(2019, 2, 10))

# Whole number of days or hours between two time points
time_point_count_between(x, y, "day")
#> [1] 7
time_point_count_between(x, y, "hour")
#> [1] 168

# Whole number of 2-day units
time_point_count_between(x, y, "day", n = 2)
#> [1] 3

# Leap years are taken into account
x <- as_naive_time(year_month_day(c(2020, 2021), 2, 28))
y <- as_naive_time(year_month_day(c(2020, 2021), 3, 01))
time_point_count_between(x, y, "day")
#> [1] 2 1

# Time of day is taken into account.
# 2020-02-02T04 -> 2020-02-03T03 is not a whole day (because of the hour)
# 2020-02-02T04 -> 2020-02-03T05 is a whole day
x <- as_naive_time(year_month_day(2020, 2, 2, 4))
y <- as_naive_time(year_month_day(2020, 2, 3, c(3, 5)))
time_point_count_between(x, y, "day")
#> [1] 0 1
time_point_count_between(x, y, "hour")
#> [1] 23 25

# Can compute negative counts (using the same example from above)
time_point_count_between(y, x, "day")
#> [1]  0 -1
time_point_count_between(y, x, "hour")
#> [1] -23 -25

# Repeated computation at increasingly fine precisions
x <- as_naive_time(year_month_day(
2020, 2, 2, 4, 5, 6, 200,
subsecond_precision = "microsecond"
))
y <- as_naive_time(year_month_day(
2020, 3, 1, 8, 9, 10, 100,
subsecond_precision = "microsecond"
))

days <- time_point_count_between(x, y, "day")
x <- x + duration_days(days)

hours <- time_point_count_between(x, y, "hour")
x <- x + duration_hours(hours)

minutes <- time_point_count_between(x, y, "minute")
x <- x + duration_minutes(minutes)

seconds <- time_point_count_between(x, y, "second")
x <- x + duration_seconds(seconds)

microseconds <- time_point_count_between(x, y, "microsecond")
x <- x + duration_microseconds(microseconds)

data.frame(
days = days,
hours = hours,
minutes = minutes,
seconds = seconds,
microseconds = microseconds
)
#>   days hours minutes seconds microseconds
#> 1   28     4       4       3       999900