library(tidyverse)
some_logicals <- function(n){
sample(c(TRUE, FALSE, NA), replace = TRUE, size = n)
}
dat_lgl <- tibble(
x = some_logicals(10),
y = some_logicals(10),
z = some_logicals(10)
)
dat_lgl
#> # A tibble: 10 × 3
#> x y z
#> <lgl> <lgl> <lgl>
#> 1 TRUE NA NA
#> 2 TRUE TRUE NA
#> 3 FALSE TRUE TRUE
#> 4 NA FALSE TRUE
#> 5 NA NA NA
#> 6 NA FALSE TRUE
#> 7 FALSE NA FALSE
#> 8 TRUE TRUE FALSE
#> 9 TRUE TRUE FALSE
#> 10 TRUE TRUE FALSE
dat_num <- dat_lgl |>
mutate(
across(
everything(),
as.numeric
)
)
dat_num
#> # A tibble: 10 × 3
#> x y z
#> <dbl> <dbl> <dbl>
#> 1 1 NA NA
#> 2 1 1 NA
#> 3 0 1 1
#> 4 NA 0 1
#> 5 NA NA NA
#> 6 NA 0 1
#> 7 0 NA 0
#> 8 1 1 0
#> 9 1 1 0
#> 10 1 1 0
waldo::compare(
rowSums(dat_lgl),
rowSums(dat_num)
)
#> ✔ No differencesCreated on 2025-07-17 with reprex v2.1.1
Session info
sessioninfo::session_info()
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