Efficiency scores of the DMUs

Summarises the DEA efficiency scores of the decision-making units as a histogram (default), a boxplot, or a per-DMU bar chart. More than one returns-to-scale model can be requested at once: histograms are then stacked vertically (one panel per model) and boxplots are drawn side by side, each model in its own colour.

Usage

plot_efficiency_distributions(
  x,
  rts = "crs",
  orientation = "in",
  type = c("histogram", "box", "bar"),
  bins = 30,
  labels = "none",
  max.overlaps.value = 10,
  transparency = 0.7,
  subtitle = NULL,
  title = NULL,
  interactive = FALSE,
  ...
)

Arguments

x: A dea_data object, or a data frame coerced by as_dea_data.
rts: Returns-to-scale model(s) passed to compute_efficiency; a character vector with any of "crs" (default), "vrs", "drs", "irs", "fdh", "add". Supplying more than one compares models.
orientation: Measurement orientation passed to compute_efficiency.
type: "histogram" (default), "box", or "bar" (one bar per DMU).
bins: Number of histogram bins (used when type = "histogram").
labels: Which DMUs to mark: "none" (default), "all" (rug on histograms, jittered points on boxplots), or the name/id of a single DMU to mark with a dashed line (histogram), a point (boxplot), or a highlighted axis label (bar).
max.overlaps.value: Accepted for API consistency; unused here (default 10).
transparency: Opacity of the markers/areas, a single number in [0, 1] (default 0.7).
subtitle: Optional subtitle shown beneath the title.
title: Optional plot title.
interactive: Logical; static ggplot2 (default) or interactive plotly.
...: Additional arguments passed to the underlying geom.

Value

A ggplot2 object, or a plotly object when interactive = TRUE.

Examples

df <- data.frame(
  dmu  = paste0("D", 1:6),
  i_x1 = c(4, 7, 8, 4, 2, 5),
  i_x2 = c(3, 3, 1, 2, 4, 2),
  o_y  = c(5, 8, 6, 7, 3, 9)
)
plot_efficiency_distributions(df, rts = "crs")

plot_efficiency_distributions(df, rts = c("crs", "vrs"), type = "box")

Usage

Arguments

Value

See also

Examples