These functions allow you to remove rows or columns with NA values quickly.
NA
has_na(): Check for NA values in the data and return a logical value.
has_na()
remove_rows_na(): Remove rows with NA values.
remove_rows_na()
remove_cols_na(): Remove columns with NA values.
remove_cols_na()
remove_rows_na(.data, verbose = TRUE)remove_cols_na(.data, verbose = TRUE)has_na(.data)
remove_cols_na(.data, verbose = TRUE)
has_na(.data)
A data frame or tibble
Logical argument. If TRUE (default) shows in console the rows or columns deleted.
TRUE
A data frame with rows or columns with NA values deleted.
# NOT RUN { library(metan) data_with_na <- data_g data_with_na[c(1, 5, 10), c(3:5, 10:15)] <- NA data_with_na has_na(data_with_na) remove_cols_na(data_with_na) remove_rows_na(data_with_na) # }
Run the code above in your browser using DataLab