library(tidyverse)
dat <- tibble(
x = as.character(c("NA", "NA", 1, 2)),
y = as.character(c(1, 2, "NA", "NA"))
)
dat
#> # A tibble: 4 × 2
#> x y
#> <chr> <chr>
#> 1 NA 1
#> 2 NA 2
#> 3 1 NA
#> 4 2 NA
?model.matrix
model.matrix(~x-1, dat) |> as_tibble()
#> # A tibble: 4 × 3
#> x1 x2 xNA
#> <dbl> <dbl> <dbl>
#> 1 0 0 1
#> 2 0 0 1
#> 3 1 0 0
#> 4 0 1 0
library(fastDummies)
dummy_cols(dat)
#> # A tibble: 4 × 8
#> x y x_1 x_2 x_NA y_1 y_2 y_NA
#> <chr> <chr> <int> <int> <int> <int> <int> <int>
#> 1 NA 1 0 0 1 1 0 0
#> 2 NA 2 0 0 1 0 1 0
#> 3 1 NA 1 0 0 0 0 1
#> 4 2 NA 0 1 0 0 0 1
dat_na <- tibble(
x = as.character(c(NA, NA, 1, 2)),
y = as.character(c(1, 2, NA, NA))
)
dummy_cols(dat_na)
#> # A tibble: 4 × 8
#> x y x_1 x_2 x_NA y_1 y_2 y_NA
#> <chr> <chr> <int> <int> <int> <int> <int> <int>
#> 1 <NA> 1 NA NA 1 1 0 0
#> 2 <NA> 2 NA NA 1 0 1 0
#> 3 1 <NA> 1 0 0 NA NA 1
#> 4 2 <NA> 0 1 0 NA NA 1Created on 2025-07-16 with reprex v2.1.1
Session info
sessioninfo::session_info()
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#> setting value
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#> os macOS Sonoma 14.5
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz Australia/Brisbane
#> date 2025-07-16
#> pandoc 3.4 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/aarch64/ (via rmarkdown)
#> quarto 1.7.31 @ /usr/local/bin/quarto
#>
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