Bind rows for colums with factors

Bind_rows works until there are factors with a set of different levels then it throws a wobbly. This handles that particular situation by combining factor levels.

Usage

bind_rows_with_factors(...)

Arguments

...

a list of dataframes

Value

the union of those dataframes. Factor levels are combined with a superset of all levels

Examples

library(tidyverse)
#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
#> ✔ dplyr     1.1.4     ✔ readr     2.1.5
#> ✔ forcats   1.0.0     ✔ stringr   1.5.1
#> ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
#> ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
#> ✔ purrr     1.0.2     
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag()    masks stats::lag()
#> ℹ Use the conflicted package to force all conflicts to become errors
bind_rows_with_factors(iris,
 ggplot2::diamonds %>% dplyr::rename(Species = cut)) %>%
 dplyr::pull(Species) %>%
 levels()
#> [1] "setosa"     "versicolor" "virginica"  "Fair"       "Good"      
#> [6] "Very Good"  "Premium"    "Ideal"