lvls: Low-level functions for manipulating levels

In forcats: Tools for Working with Categorical Variables (Factors)

Low-level functions for manipulating levels

Description

lvls_reorder leaves values as they are, but changes the order. lvls_revalue changes the values of existing levels; there must be one new level for each old level. lvls_expand expands the set of levels; the new levels must include the old levels.

Usage

lvls_reorder(f, idx, ordered = NA)

lvls_revalue(f, new_levels)

lvls_expand(f, new_levels)

Arguments

f	A factor (or character vector).
idx	A integer index, with one integer for each existing level.
ordered	A logical which determines the "ordered" status of the output factor. NA preserves the existing status of the factor.
new_levels	A character vector of new levels.

Details

These functions are less helpful than the higher-level fct_ functions, but are safer than the very low-level manipulation of levels directly, because they are more specific, and hence can more carefully check their arguments.

Examples

f <- factor(c("a", "b", "c"))
lvls_reorder(f, 3:1)
lvls_revalue(f, c("apple", "banana", "carrot"))
lvls_expand(f, c("a", "b", "c", "d"))

forcats documentation built on Feb. 16, 2023, 8:57 p.m.