Function reference • forcats

Change order of levels

Keep the values of the levels the same, but change their order. These are particularly useful for models, tables, and visualisations.

fct_relevel(): Reorder factor levels by hand

fct_inorder() fct_infreq() fct_inseq(): Reorder factor levels by first appearance, frequency, or numeric order

fct_reorder() fct_reorder2() last2() first2(): Reorder factor levels by sorting along another variable

fct_shuffle(): Randomly permute factor levels

fct_rev(): Reverse order of factor levels

fct_shift(): Shift factor levels to left or right, wrapping around at end

Change value of levels

Change factor levels, while preserving order (as much as possible).

fct_anon(): Anonymise factor levels

fct_collapse(): Collapse factor levels into manually defined groups

fct_lump() fct_lump_min() fct_lump_prop() fct_lump_n() fct_lump_lowfreq(): Lump uncommon factor together levels into "other"

fct_other(): Manually replace levels with "other"

fct_recode(): Change factor levels by hand

fct_relabel(): Relabel factor levels with a function, collapsing as necessary

Add/remove levels

Leave existing data as is, but add or remove levels.

fct_expand(): Add additional levels to a factor

fct_drop(): Drop unused levels

fct_na_value_to_level() fct_na_level_to_value(): Convert between NA values and NA levels

fct_unify(): Unify the levels in a list of factors

Combine multiple factors

fct_c(): Concatenate factors, combining levels

fct_cross(): Combine levels from two or more factors to create a new factor

Other helpers

fct(): Create a factor

as_factor(): Convert input to a factor

fct_count(): Count entries in a factor

fct_match(): Test for presence of levels in a factor

fct_unique(): Unique values of a factor, as a factor

lvls_reorder() lvls_revalue() lvls_expand(): Low-level functions for manipulating levels

lvls_union(): Find all levels in a list of factors

Data

gss_cat: A sample of categorical variables from the General Social survey