missing_values: Find missing values
In julianhatwell/arulesimp: Association Rules Based Method for Imputation

Description Usage Arguments Value See Also Examples

This utility function finds and counts any NA values in each variable of a data frame.

1	missing_values(dt, sorted = TRUE)

`dt`	A vector, matrix, data frame or S3 object of `mim` class.
`sorted`	A logical scalar value. Do you want to sort the results? Default = `TRUE`.

A named numeric. Names are the column names if the input is a data frame, column numbers for a matrix or index positions if a vector. Values are the count of NA found in that variable

missing_matrix

missing_values(c(1, 1, 1, NA, NA, 1))
missing_values(matrix(c(1, 1, NA, NA), ncol = 2))
missing_values(data.frame(x = c("foo", NA, NA), y = c(NA, "bar", "bar")))
missing_values(data.frame(x = c("foo", NA, NA), y = c(NA, "bar", "bar")), sorted = FALSE)