group_numeric: Group Numeric

In aedobbyn/dobtools: dobtools

Description

Mutate a dataframe by assigning each row a group based on its value in a certain column.

Usage

group_numeric(df, col, vec, add_first_last = FALSE)

Arguments

df	A dataframe
col	A numeric or date column. If the value here is outside the vector range, the 'group' colum will be set to NA for that row.
vec	A vector of cuts.
add_first_last	Should the first and last element of the vector be used as the lower and upper bounds, respectively, for the 1st and nth element? Or should those In other words, should the 1st element of the vector be considered the lower (add_first_last = FALSE) or upper (add_first_last = TRUE) bound of the first group?

Examples

mpg_cuts <- c(15, 20, 25, 30)
group_numeric(mtcars, "mpg", mpg_cuts, add_first_last = TRUE)

mtcars$some_dates <- (rnorm(n = 32) * 5) %>% lubridate::as_date()
date_cuts <- c("1969-11-01", "1969-12-29", "1970-01-01", "1970-01-04", "1970-02-01")
group_numeric(mtcars, "some_dates", date_cuts, add_first_last = FALSE)

aedobbyn/dobtools documentation built on May 28, 2019, 2:33 a.m.