Remove columns based on NA values

remove_columns_based_on_NA(data, threshold = 0.5)

Arguments

data: A data frame or tibble
threshold: The proportion of NA values allowed in a column (default: 0.5)

Value

A data frame with columns removed if they have more than the specified threshold of NA values

Examples

# Create sample data frame with NA values
df <- data.frame(
  a = c(1, 2, NA, 4, 5),
  b = c(NA, NA, NA, 4, 5),
  c = c(1, 2, 3, NA, 5)
)

# Remove columns with more than 50% NA values
remove_columns_based_on_NA(df)
#>    a  c
#> 1  1  1
#> 2  2  2
#> 3 NA  3
#> 4  4 NA
#> 5  5  5

# Use stricter threshold of 10% NA values
remove_columns_based_on_NA(df, threshold = 0.1)
#> data frame with 0 columns and 5 rows