Impute Missing Values with Half the Minimum

This function imputes missing values in numeric columns by replacing each NA with half the minimum non-missing value of that column. You can restrict imputation to a subset of columns using the cols argument.

Usage

impute_with_half_min(df, cols = NULL)

Arguments

df

A data frame containing numeric columns to impute.

cols

Optional. A character vector of column names to impute. If NULL, all numeric columns are imputed.

Value

A data frame with missing values imputed in specified (or all numeric) columns.

Examples

if (FALSE) { # \dontrun{
impute_with_half_min(df) # Impute all numeric columns
impute_with_half_min(df, cols = c("a", "b")) # Impute only columns a and b
} # }