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Plot a self-organizing map of DEA efficiency

Source: R/plot-io-som.R
plot_io_som.Rd

Draws the hexagonal SOM as a property map, colouring each node by the mean efficiency of the DMUs assigned to it, and (optionally) labels the nodes with the DMU names. Uses base graphics, so the plot is produced as a side effect on the active device.

Usage

plot_io_som(
  som,
  labels = "all",
  max.overlaps.value = 10,
  jitter_sd = 0.1,
  seed = NULL,
  transparency = 0.7,
  subtitle = NULL,
  title = "SOM: mean efficiency per node",
  ...
)

Arguments

som

A dea_som object from compute_som, or a dea_data object / data frame, in which case the map is fitted first.

labels

Which DMUs to write on the map: "all" (default), "none", or the name/id of a single DMU to label only that one.

max.overlaps.value

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

jitter_sd

Standard deviation of the random jitter applied to label positions so co-located labels do not overlap (default 0.1).

seed

Optional single number making the label jitter reproducible without changing the session's random state.

transparency

Opacity of the markers/areas, a single number in [0, 1] (default 0.7).

subtitle

Optional subtitle shown beneath the title.

title

Plot title.

...

When som is data rather than a dea_som, further arguments passed to compute_som.

Value

The dea_som object, invisibly.

See also

compute_som

Examples

df <- data.frame(
  dmu  = paste0("D", 1:12),
  i_x1 = runif(12, 2, 9), i_x2 = runif(12, 1, 5),
  o_y1 = runif(12, 3, 9), o_y2 = runif(12, 1, 4)
)
som <- compute_som(df, xdim = 4, ydim = 4, seed = 1)
plot_io_som(som)