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Drop rows containing missing values
drop_na.(.df, ...)
A data.frame or data.table
Optional: A selection of columns. If empty, all variables are selected.
tidyselect
compatible.
df <- data.table(
x = c(1, 2, NA),
y = c("a", NA, "b")
)
df %>%
drop_na()
df %>%
drop_na(x)
df %>%
drop_na(where(is.numeric))
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