library(tidyverse)
test_data <-
tibble(
Group = sample(c("Apple", "Pear"), size = 10, replace = TRUE),
A = sample(c(NA_integer_, 1:3), size = 10, replace = TRUE),
B = sample(c(NA_integer_, 4:6), size = 10, replace = TRUE),
C = sample(c(NA_real_, seq(from = 6.01, to = 6.09, by = 0.01)), size = 10, replace = TRUE),
D = sample(c(NA, TRUE, FALSE), size = 10, replace = TRUE)
) %>%
dplyr::mutate(E = B)
duplicated_cols(test_data)
test_data %>%
select(-all_of(duplicated_cols(test_data)))
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