consecutive_id: Generate a unique identifier for consecutive combinations

In tidyverse/dplyr: A Grammar of Data Manipulation

Generate a unique identifier for consecutive combinations

Description

consecutive_id() generates a unique identifier that increments every time a variable (or combination of variables) changes. Inspired by data.table::rleid().

Usage

consecutive_id(...)

Arguments

...	Unnamed vectors. If multiple vectors are supplied, then they should have the same length.

Value

A numeric vector the same length as the longest element of ....

Examples

consecutive_id(c(TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, NA, NA))
consecutive_id(c(1, 1, 1, 2, 1, 1, 2, 2))

df <- data.frame(x = c(0, 0, 1, 0), y = c(2, 2, 2, 2))
df %>% group_by(x, y) %>% summarise(n = n())
df %>% group_by(id = consecutive_id(x, y), x, y) %>% summarise(n = n())

tidyverse/dplyr documentation built on Nov. 4, 2024, 2:44 a.m.