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Plot the component planes of a DEA self-organizing map

Source: R/plot-io-som-components.R
plot_io_som_components.Rd

Draws one SOM property map per input/output variable – the "component planes" – each node coloured by that variable's codebook weight. This shows how each input and output varies across the trained map. Uses base graphics, so the panels are produced as a side effect on the active device.

Usage

plot_io_som_components(
  som,
  variables = NULL,
  ncol = 3,
  labels = TRUE,
  transparency = 0.7,
  subtitle = NULL,
  title = NULL,
  ...
)

Arguments

som

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

variables

Optional character vector selecting which variables to draw (default: all). Names are matched against the input/output column names.

ncol

Number of panels per row (positive integer; default 3).

labels

Logical; if TRUE (default) each panel is titled with its variable name.

transparency

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

subtitle

Optional subtitle shown beneath the title.

title

Optional overall title drawn above the panel grid.

...

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, plot_io_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_components(som)