ddecompose (version 1.0.0)

plot.dfl_decompose: Plot decomposition terms for quantiles

Description

The function plots decomposition terms for quantiles estimated with dfl_decompose over the unit interval.

Usage

# S3 method for dfl_decompose
plot(
  x,
  ...,
  confidence_bands = TRUE,
  confidence_level = 0.95,
  uniform_bands = FALSE
)

Value

a ggplot illustrating the decomposition terms for quantiles.

Arguments

x

an object of class "dfl_decompose", usually, a result of a call to [dfl_decompose()] with [statistics = "quantiles"].

...

other parameters to be passed through to plot function.

confidence_bands

If `TRUE` (default) and if standard errors have been bootstrapped, confidence bands are plotted.

confidence_level

numeric value between 0 and 1 (default = 0.95) that defines the confidence interval plotted as a ribbon and defined as qnorm((1-confidence_level)/2) * standard error.

uniform_bands

If `FALSE` (default), pointwise confidence bands are computed. Otherwise, uniform bands are constructed based on the bootstrapped Kolmogrov-Smirnov statistic (see summary.dfl_decompose).

Examples

data("men8305")
flf_model <- log(wage) ~ union * (education + experience) + education * experience
flf_male_inequality <- dfl_decompose(flf_model,
  data = men8305,
  weights = weights,
  group = year
)
plot(flf_male_inequality)