dplyr (version 1.0.10)

lead-lag: Compute lagged or leading values

Description

Find the "previous" (lag()) or "next" (lead()) values in a vector. Useful for comparing values behind of or ahead of the current values.

Usage

lag(x, n = 1L, default = NA, order_by = NULL, ...)
lead(x, n = 1L, default = NA, order_by = NULL, ...)

Arguments

x

Vector of values

n

Positive integer of length 1, giving the number of positions to lead or lag by

default

Value used for non-existent rows. Defaults to NA.

order_by

Override the default ordering to use another vector or column

...

Needed for compatibility with lag generic.

Examples

lag(1:5)
lead(1:5)

x <- 1:5
tibble(behind = lag(x), x, ahead = lead(x))

# If you want to look more rows behind or ahead, use `n`
lag(1:5, n = 1)
lag(1:5, n = 2)

lead(1:5, n = 1)
lead(1:5, n = 2)

# If you want to define a value for non-existing rows, use `default`
lag(1:5)
lag(1:5, default = 0)

lead(1:5)
lead(1:5, default = 6)

# If data are not already ordered, use `order_by`
scrambled <- slice_sample(tibble(year = 2000:2005, value = (0:5) ^ 2), prop = 1)

wrong <- mutate(scrambled, previous_year_value = lag(value))
arrange(wrong, year)

right <- mutate(scrambled, previous_year_value = lag(value, order_by = year))
arrange(right, year)