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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.
tidyselect
# NOT RUN { 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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