Reorder the levels of a categorical variable either manually or automatically
Usage
reorder_levels(
data,
var,
new_levels = NULL,
auto = c("freq", "order", "seq"),
name = NULL
)
Arguments
- data
a dataframe to reorder
- var
a categorical variable to reorder
- new_levels
a character vector of the new factor order; overrides
auto
if notNULL
- auto
only meaningful if
new_levels
isNULL
: the method to auto-reorder the levels, seefct_inorder
- name
name for the new variable
Value
original dataframe containing a new column of the reordered categorical variable with tidyverse code attached
Examples
reordered <- reorder_levels(iris,
var = "Species",
new_levels = c("versicolor", "virginica", "setosa")
)
cat(code(reordered))
#> iris |> dplyr::mutate(Species.reord = factor(Species, c("versicolor", "virginica", "setosa")), .after = Species)
head(reordered)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species Species.reord
#> 1 5.1 3.5 1.4 0.2 setosa setosa
#> 2 4.9 3.0 1.4 0.2 setosa setosa
#> 3 4.7 3.2 1.3 0.2 setosa setosa
#> 4 4.6 3.1 1.5 0.2 setosa setosa
#> 5 5.0 3.6 1.4 0.2 setosa setosa
#> 6 5.4 3.9 1.7 0.4 setosa setosa
reordered <- reorder_levels(iris,
var = "Species",
auto = "freq"
)
cat(code(reordered))
#> iris |> dplyr::mutate(Species.reord = forcats::fct_infreq(Species), .after = Species)
head(reordered)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species Species.reord
#> 1 5.1 3.5 1.4 0.2 setosa setosa
#> 2 4.9 3.0 1.4 0.2 setosa setosa
#> 3 4.7 3.2 1.3 0.2 setosa setosa
#> 4 4.6 3.1 1.5 0.2 setosa setosa
#> 5 5.0 3.6 1.4 0.2 setosa setosa
#> 6 5.4 3.9 1.7 0.4 setosa setosa