plot.dfl_decompose {ddecompose} | R Documentation |

## 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 class 'dfl_decompose'
plot(
x,
...,
confidence_bands = TRUE,
confidence_level = 0.95,
uniform_bands = FALSE
)
```

### 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 |

`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). |

### Value

a ggplot illustrating the decomposition terms for quantiles.

### 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)
```

*ddecompose*version 1.0.0 Index]