parallel.trends.plot: Generates plots to diagnose parallel trends for...

In skranz/ParallelTrendsPlot: Experimental Package: Plots to diagnose parallel trends in DID regression with additional control variables.

Description

Generates plots to diagnose parallel trends for difference-in-difference regressions with additional control variables

Usage

parallel.trends.plot(
  pt.dat,
  facet.mode = ".mode" %in% colnames(pt.dat),
  add.exp.line = c("first", "all", "none")[1],
  exp.line.opt = list(color = "black")
)

Arguments

pt.dat	A data frame as returned by the function parallel.trends.data
facet.mode	If TRUE generate a facet plot with one facet for trends of control group and experimental group with and without correction of the control variables
add.exp.line	How shall vertical lines be added to indicate the experimental periods? "first" means a line at the first experimental period, "all" means a line at all experimental periods. Use "none" to add no lines
exp.line.opt	Arguments passed to geom_vert to customize the vertical lines.

Value

A ggplot object

skranz/ParallelTrendsPlot documentation built on Dec. 23, 2021, 3:23 a.m.