Counts of efficient and inefficient DMUs

Classifies the DMUs as efficient or inefficient (efficiency score equal to 1 within a tolerance) and draws a bar chart of the counts, annotated with the percentage of DMUs in each group.

Usage

plot_io_efficients(
  x,
  rts = c("crs", "vrs", "drs", "irs", "fdh", "add"),
  orientation = "in",
  tol = 1e-06,
  labels = TRUE,
  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 passed to compute_efficiency.
orientation: Measurement orientation passed to compute_efficiency.
tol: Tolerance for treating a score as efficient (default 1e-6).
labels: Logical; if TRUE (default) the count and percentage are printed on each bar.
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 geom_col.

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_io_efficients(df, rts = "crs")

Usage

Arguments

Value

See also

Examples