Skip to contents

Interactive event-study plot with hover details

Source: R/plot_es_interactive.R
plot_es_interactive.Rd

Creates an interactive plotly visualization of event study results with hover-over displays showing coefficients, confidence intervals, and other details.

Usage

plot_es_interactive(
  data,
  ci_level = 0.95,
  vline_val = 0,
  hline_val = 0,
  vline_color = "#000",
  hline_color = "#000",
  color = "#B25D91FF",
  fill = "#B25D91FF",
  alpha = 0.2,
  linewidth = 2,
  markersize = 8,
  show_ribbon = TRUE,
  show_simultaneous = FALSE,
  height = NULL,
  width = NULL
)

Arguments

data

An object of class es_result returned by run_es().

ci_level

Confidence level to display (e.g., 0.95). Default is 0.95.

vline_val

Numeric location for vertical reference line (default 0).

hline_val

Numeric location for horizontal reference line (default 0).

vline_color

Color for vertical reference line (default "#000").

hline_color

Color for horizontal reference line (default "#000").

color

Point and line color (default "#B25D91FF").

fill

Ribbon/band fill color (default "#B25D91FF").

alpha

Ribbon transparency (default 0.2).

linewidth

Line width (default 2).

markersize

Marker size (default 8).

show_ribbon

Logical; if TRUE, shows confidence interval as a ribbon band (default TRUE).

show_simultaneous

Logical; if TRUE, overlays a second (lighter) ribbon for the simultaneous bootstrap CI and extends the hover tooltip with simultaneous CI bounds. Requires bootstrap = TRUE in the originating run_es() call. Default FALSE.

height

Plot height in pixels (default NULL for auto).

width

Plot width in pixels (default NULL for auto).

Value

A plotly object that can be displayed interactively.

Details

The hover tooltip displays:

  • Relative time to treatment

  • Point estimate (coefficient)

  • Confidence interval bounds

  • Standard error

  • P-value

  • Simultaneous CI bounds (when show_simultaneous = TRUE)

Examples

if (FALSE) { # \dontrun{
# Assuming res <- run_es(...)
plot_es_interactive(res)
plot_es_interactive(res, ci_level = 0.99, show_ribbon = FALSE)
plot_es_interactive(res, show_simultaneous = TRUE)
} # }