lead-lag.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lead-lag.R
\name{lead-lag}
\alias{lead-lag}
\alias{lag}
\alias{lead}
\title{Compute lagged or leading values}
\usage{
lag(x, n = 1L, default = NA, order_by = NULL, ...)
lead(x, n = 1L, default = NA, order_by = NULL, ...)
}
\arguments{
\item{x}{Vector of values}
\item{n}{Positive integer of length 1, giving the number of positions to
lead or lag by}
\item{default}{Value used for non-existent rows. Defaults to \code{NA}.}
\item{order_by}{Override the default ordering to use another vector or column}
\item{...}{Needed for compatibility with lag generic.}
}
\description{
Find the "previous" (\code{lag()}) or "next" (\code{lead()}) values in a vector.
Useful for comparing values behind of or ahead of the current values.
}
\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)
}