sjmisc (version 2.6.3)

empty_cols: Return or remove variables or observations that are completely missing

Description

These functions check which rows or columns of a data frame completely contain missing values, i.e. which observations or variables completely have missing values, and either 1) returns their indices; or 2) removes them from the data frame.

Usage

empty_cols(x)
empty_rows(x)
remove_empty_cols(x)
remove_empty_rows(x)

Arguments

x

A data frame.

Value

For empty_cols and empty_rows, a numeric (named) vector with row or column indices of those variables that completely have missing values. For remove_empty_cols and remove_empty_rows, a tibble with "empty" columns or rows removed.

Examples

# NOT RUN {
tmp <- data.frame(a = c(1, 2, 3, NA, 5),
                  b = c(1, NA, 3, NA , 5),
                  c = c(NA, NA, NA, NA, NA),
                  d = c(1, NA, 3, NA, 5))

tmp

empty_cols(tmp)
empty_rows(tmp)

remove_empty_cols(tmp)
remove_empty_rows(tmp)

# }