Extract distances from donut_analysis model — plot

Convenience function to extract distances from donut_analysis model. Input needs to be a (list of) donut_analysis models. Consider adding theme(legend.text.align = 1) to right-align the p-value legend.

Usage

plot_significance(
  donut_models,
  var,
  filter_80 = TRUE,
  p_value,
  dep_var,
  se = NULL,
  ...
)

Arguments

donut_models: List of donut_analysis models
var: The dependent variable in all donut_analysis models which should be plotted.
filter_80: Boolean: Should only those regressions be displayed for which the treatment group is >= 80% of the whole population? Defaults to TRUE.
p_value: Alternative to donut_models: already ready p-value data set.
dep_var: If p_value param is chosen: dependent variable. Character.
se: If p_value is chosen: How standard errors are corrected. Character.
...: additional parameters to be passed to ggplot

Value

A ggplot2 plot

Examples

data(donut_data)
models <-
donut_models(inner = 2:4, outer = c(10, 15, 20), ds = donut_data,
dep_var = "wealth_index", indep_vars = "age", fe = "id")
plot <- plot_significance(models, var = "dist")
plot

plot$data |> plot_significance(p_value = _, var = "dist", dep_var = "wealth_index",
se = "Clustered standard errors.")