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This set of functions replaces missing values in specified variables.

  • impute_value() replaces all missing values with a specific value, while

  • impute_median() replaces missing values with the (weighted) median of the variable.

Usage

impute_value(df, vars, value)

impute_median(df, vars, group = NULL, weighted = FALSE, weight = NULL)

Arguments

df

A dataframe containing the variables to be imputed.

vars

A character vector of the variables to replace NA with.

value

The value to replace NA with.

group

A character vector of the grouping variables.

weighted

A boolean indicating whether to use the weighted median or not.

weight

The weight variable.

Value

A dataframe with imputed values:

  • vars: The specified variables with missing values replaced.

A dataframe with imputed values:

  • vars: The specified variables with missing values replaced by their respective (weighted) medians.