DisplayTreatment: Visualize the treatment distribution across units and time in...

In PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

Visualize the treatment distribution across units and time in a panel data set

Description

Visualize the treatment distribution across units and time in a panel data set

Usage

DisplayTreatment(
  panel.data,
  color.of.treated = "red",
  color.of.untreated = "blue",
  title = "Treatment Distribution \n Across Units and Time",
  xlab = "Time",
  ylab = "Unit",
  x.size = NULL,
  y.size = NULL,
  legend.position = "none",
  x.angle = NULL,
  y.angle = NULL,
  legend.labels = c("not treated", "treated"),
  decreasing = FALSE,
  matched.set = NULL,
  show.set.only = FALSE,
  hide.x.tick.label = FALSE,
  hide.y.tick.label = FALSE,
  gradient.weights = FALSE,
  dense.plot = FALSE
)

Arguments

panel.data	PanelData object
color.of.treated	Color of the treated observations provided as a character string (this includes hex values). Default is red.
color.of.untreated	Color of the untreated observations provided as a character string (this includes hex values). Default is blue.
title	Title of the plot provided as character string
xlab	Character label of the x-axis
ylab	Character label of the y-axis
x.size	Numeric size of the text for xlab or x axis tick labels. Assign x.size = NULL to use built in ggplot2 method of determining label size. When the length of the time period is long, consider setting to NULL and adjusting size and ratio of the plot.
y.size	Numeric size of the text for ylab or y axis tick labels. Assign y.size = NULL to use built in ggplot2 method of determining label size. When the number of units is large, consider setting to NULL and adjusting size and ratio of the plot.
legend.position	Position of the legend. Provide this according to ggplot2 standards.
x.angle	Angle (in degrees) of the tick labels for x-axis
y.angle	Angle (in degrees) of the tick labels for y-axis
legend.labels	Character vector of length two describing the labels of the legend to be shown in the plot. ggplot2 standards are used.
decreasing	Logical. Determines if display order should be increasing or decreasing by the amount of treatment received. Default is decreasing = FALSE.
matched.set	(optional) a matched.set object containing a single treated unit and a set of matched controls. If provided, this set will be highlighted on the resulting plot.
show.set.only	(optional) logical. If TRUE, only the treated unit and control units contained in the provided matched.set object will be shown on the plot. Default is FALSE. If no matched.set is provided, then this argument will have no effect.
hide.x.tick.label	logical. If TRUE, x axis tick labels are not shown. Default is FALSE.
hide.y.tick.label	logical. If TRUE, y axis tick labels are not shown. Default is FALSE.
gradient.weights	(optional) logical. If TRUE, the "darkness"/shade of units in the provided matched.set object will be displayed according to their weight. Control units with higher weights will appear darker on the resulting plot. Control units with lower weights will appear lighter. This argument has no effect unless a matched.set is provided.
dense.plot	logical. if TRUE, lines between tiles are removed on resulting plot. This is useful for producing more readable plots in situations where the number of units and/or time periods is very high.

Value

DisplayTreatment returns a treatment variation plot (generated via ggplot2 geom_tile() or geom_raster()), which visualizes the variation of treatment across units and time. The results can be customized using ggplot2 syntax.

Author(s)

In Song Kim <[e-mail]>, Erik Wang <[e-mail]>, Adam Rauh <[e-mail]>, and Kosuke Imai <[e-mail]>

Examples

dem.panel <- PanelData(panel.data = dem, 
              unit.id = "wbcode2", 
              time.id = "year", 
              treatment = "dem", 
              outcome = "y")
DisplayTreatment(panel.data = dem.panel,
                 legend.position = "none",
                 xlab = "year", ylab = "Country Code")

PanelMatch documentation built on April 3, 2025, 6:34 p.m.