Heatmap of secondary-goal multiplier weights

Draws a heatmap of each DMU's secondary-goal (benevolent or aggressive) multiplier weights, one row per DMU and one column per input/output. By default the weights are row-standardised (input weights sum to one, output weights sum to one within each DMU) so the relative emphasis is comparable across units.

Usage

plot_cem_weights_heatmap(
  x,
  approach = c("benevolent", "aggressive"),
  standardize = TRUE,
  labels = "all",
  max.overlaps.value = 10,
  transparency = 1,
  fade = TRUE,
  x_angle = NULL,
  subtitle = NULL,
  title = NULL,
  interactive = FALSE,
  ...
)

Arguments

x

A weights list from compute_cross_efficiency_weights, or a dea_data object / data frame from which the weights are computed.

approach

Secondary goal used when the weights are computed from data: "benevolent" (default) or "aggressive". Ignored when x is an already-computed weights list.

standardize

Logical; if TRUE (default) the weights are row-standardised with standardize_weights before plotting.

labels

DMU tick labels: "all" (default) shows them, "none" hides them, and the name/id of a single DMU highlights that DMU's label(s) in colour.

max.overlaps.value

Accepted for API consistency; unused here (default 10).

transparency

Opacity of the markers/areas, a single number in [0, 1] (default 1).

fade

Controls the single-DMU focus view. When one DMU is given to labels, all other marks (and, for the network plots, everything outside that DMU's sub-network; for the panel biplot, the other trajectories) are faded so the chosen DMU stands out. TRUE (default) uses a sensible fade level; FALSE disables it; a single number in [0, 1] sets the alpha of the faded marks directly, where larger values fade them less (e.g. 0.4 leaves them more visible).

x_angle

Angle in degrees for the x-axis tick labels, useful when the input/output (or DMU) names on the x-axis are long and overlap. NULL (default) keeps the plot's standard orientation; for example x_angle = 45 tilts the labels to make them readable.

subtitle

Optional subtitle shown beneath the title.

title

Optional plot title.

interactive

Logical; static ggplot2 (default) or interactive plotly.

...

When x is data, further arguments passed to compute_cross_efficiency_weights.

Value

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

References

Doyle, J., & Green, R. (1994). Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. Journal of the Operational Research Society, 45(5), 567–578. doi:10.1057/jors.1994.84

See also

compute_cross_efficiency_weights, standardize_weights

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_cem_weights_heatmap(df, approach = "benevolent")