warp_boundary: Locate period boundaries for a date vector

In warp: Group Dates

Locate period boundaries for a date vector

Description

warp_boundary() detects a change in time period along x, for example, rolling from one month to the next. It returns the start and stop positions for each contiguous period chunk in x.

Usage

warp_boundary(x, period, ..., every = 1L, origin = NULL)

Arguments

x	⁠[Date / POSIXct / POSIXlt]⁠ A date time vector.
period	⁠[character(1)]⁠ A string defining the period to group by. Valid inputs can be roughly broken into: "year", "quarter", "month", "week", "day" "hour", "minute", "second", "millisecond" "yweek", "mweek" "yday", "mday"
...	⁠[dots]⁠ These dots are for future extensions and must be empty.
every	⁠[positive integer(1)]⁠ The number of periods to group together. For example, if the period was set to "year" with an every value of 2, then the years 1970 and 1971 would be placed in the same group.
origin	⁠[Date(1) / POSIXct(1) / POSIXlt(1) / NULL]⁠ The reference date time value. The default when left as NULL is the epoch time of ⁠1970-01-01 00:00:00⁠, in the time zone of the index. This is generally used to define the anchor time to count from, which is relevant when the every value is ⁠> 1⁠.

Details

The stop positions are just the warp_change() values, and the start positions are computed from these.

Value

A two column data frame with the columns start and stop. Both are double vectors representing boundaries of the date time groups.

Examples

x <- as.Date("1970-01-01") + -4:5
x

# Boundaries by month
warp_boundary(x, "month")

# Bound by every 5 days, relative to "1970-01-01"
# Creates boundaries of:
# [1969-12-27, 1970-01-01)
# [1970-01-01, 1970-01-06)
# [1970-01-06, 1970-01-11)
warp_boundary(x, "day", every = 5)

# Bound by every 5 days, relative to the smallest value in our vector
origin <- min(x)
origin

# Creates boundaries of:
# [1969-12-28, 1970-01-02)
# [1970-01-02, 1970-01-07)
warp_boundary(x, "day", every = 5, origin = origin)

warp documentation built on Nov. 3, 2023, 1:07 a.m.