Visualization of the cumulative distribution of weights

Visualization of the cumulative distribution of weights

Usage

idid_viz_cumul(reg, var_interest, prop_weights = 0.2, color = "#300D49", ...)

Arguments

reg

A regression object.

var_interest

A string. The name of the main variable of interest.

prop_weights

A numeric (between 0 and 1). A proportion of weights that to consider as contributing the most to identification. Used to build the subtitle.

color

A string. Color of the graph.

...

Additional elements to pass to the regression function when partialling out controls.

Value

A ggplot2 graph of the cumulative distribution of weights.

Examples

reg_ex <- ggplot2::txhousing |>
  lm(formula = log(sales) ~ median + listings + city + as.factor(date))

idid_viz_cumul(reg_ex, "median")