Plots treated and synthetic control trajectories and overlays a 2x2 diff-in-diff diagram of our estimator. In this overlay, the treatment effect is indicated by an arrow. The weights lambda defining our synthetic pre-treatment time period are plotted below. If a list of estimates is passed, plots all of them. By default, does this in different facets. To overlay estimates in the same facet, indicate a facet for each estimator in the argument 'facet'.

For SC estimates, i.e., if lambda is a vector of zeros, plots the trajectories and SC estimate of the effect, but no diagram.

synthdid_plot(
  estimates,
  treated.name = "treated",
  control.name = "synthetic control",
  spaghetti.units = c(),
  spaghetti.matrices = NULL,
  facet = NULL,
  facet.vertical = TRUE,
  lambda.comparable = !is.null(facet),
  overlay = 0,
  lambda.plot.scale = 3,
  trajectory.linetype = 1,
  effect.curvature = 0.3,
  line.width = 0.5,
  guide.linetype = 2,
  point.size = 1,
  trajectory.alpha = 0.5,
  diagram.alpha = 0.95,
  effect.alpha = 0.95,
  onset.alpha = 0.3,
  ci.alpha = 0.3,
  spaghetti.line.width = 0.2,
  spaghetti.label.size = 2,
  spaghetti.line.alpha = 0.3,
  spaghetti.label.alpha = 0.5,
  se.method = "jackknife",
  alpha.multiplier = NULL
)

Arguments

estimates,	a list of estimates output by synthdid_estimate. Or a single estimate.
treated.name,	the name of the treated curve that appears in the legend. Defaults to 'treated'
control.name,	the name of the control curve that appears in the legend. Defaults to 'synthetic control'
spaghetti.units,	a list of units to plot individually. spaghetti.unit %in% rownames(Y) must work. Defaults to the empty list.
spaghetti.matrices,	a list of matrices --- one for each element of estimates --- of trajectories to plot individually. The rows of these matrices should be the same length as the trajectories in Y and they must be named --- set rownames(spaghetti.trajectories[[i]]) --- so trajectories can be labeled in the plot.
facet,	a list of the same length as estimates indicating the facet in which to plot each estimate. The values of the elements of the list are used to label the facets. If NULL, plot each estimate in a different facet. Defaults to NULL.
facet.vertical,	TRUE if facets should be stacked vertically. Defaults to FALSE (horizonal).
lambda.comparable,	TRUE if the weights lambda should be plotted in such a way that the ribbons have the same mass from plot to plot, assuming the treated curve is the same. Useful for side-by-side or overlaid plots. Defaults to FALSE if facet is not passed, TRUE if passed.
overlay,	a number in [0,1] defaulting to 0, can be used to shift the control trajectory toward the treated trajectory. When a nonzero value is passed, we plot the control after subtracting that fraction of the diff-in-diff style adjustment for the difference between lambda-weighted pre-treatment averages of the treated and control. With intercept of almost one, this makes it easier to assess parallel-ness by making trajectories closer With intercept of one, this essentially overlays the curves, and plotting a diagram is suppressed as in the case of a SC estimate. To use different values for different plots, pass these values as an attribute 'overlay' of each estimate. If a vector is passed, plots at different intercept levels indicated by the 'frame' aesthetic. ggplotly will interpret this as an animation.
lambda.plot.scale	determines the scale of the plot of the weights lambda.
trajectory.linetype,	the linetype of the treated and synthetic control trajectories
effect.curvature,	the curvature of the arrows indicating the treatment effect. Defaults to zero. Nonzero values help avoid overplotting when plotting multiple estimates in one facet.
line.width	the line width.
guide.linetype	determines the (ggplot) linetype of the vertical segments of the parallelogram
point.size	determines the size of the points of the parallelogram
trajectory.alpha	determines transparency of trajectories
diagram.alpha	determines transparency of diff-in-diff diagram
effect.alpha	determines transparency of effect arrows
onset.alpha	determines transparency of vertical lines indicating onset of treatment
ci.alpha	determines transparency of the arrows illustrating upper and lower bounds of a 95% confidence interval for the effect
spaghetti.line.width	determines the width of spaghetti trajectories
spaghetti.label.size	determines the size of spaghetti labels
spaghetti.line.alpha	determines transparency of spaghetti trajectories
spaghetti.label.alpha	determines transparency of spaghetti trajectory labels
se.method	determines the method used to calculate the standard error used for this confidence interval. if 'none', don't show the interval
alpha.multiplier,	a vector of the same length as estimates, is useful for comparing multiple estimates in one facet but highlighting one or several. All plot elements associated with the estimate are displayed with alpha multiplied by the corresponding element of alpha.multiplier. Defaults to a vector of ones.

Details

Requires ggplot2 Due to differences between ggplot and ggplotly, this will warn about an unknown aesthetic frame.