Add Quantile Intervals to Income Variable — add_quantile

This function calculates weighted income quantiles and classifies households according to these. It can handle multiple income variables and applies weighted or unweighted quantiles based on the input.

Usage

add_quantile_interval(
  df,
  vars,
  cut_offs = c(0, 0.2, 0.4, 0.6, 0.8, 1),
  weight = NULL
)

Arguments

df: A dataframe containing the income variables.
vars: The variable or variables with income integer values.
cut_offs: The cut-offs for computation of quantiles. The default corresponds to the quantiles of the distribution, based on the weighted median.
weight: The sampling weights column name. If NULL, unweighted quantiles are calculated.

Value

A dataframe with additional columns:

*_qtl: For each input variable, a new column is added with the quantile interval classification. The naming format is 'original_variable_name'_qtl.