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Interactive 3-D scatter plot of a DEA problem

Source: R/plot-io-3dscatter.R
plot_io_3dscatter.Rd

Plots the DMUs in three dimensions, with each axis and the point colour set to any input/output variable or any DEA efficiency model (so a returns-to- scale efficiency such as "crs" or "vrs" can be used as a dimension). Efficiencies are computed only when referenced, each at most once. This plot is always interactive (plotly); it has no static form.

Usage

plot_io_3dscatter(
  x,
  dim_x,
  dim_y,
  dim_z,
  color = "crs",
  orientation = "in",
  labels = "none",
  max.overlaps.value = 10,
  transparency = 0.7,
  subtitle = NULL,
  title = NULL,
  ...
)

Arguments

x

A dea_data object, or a data frame coerced by as_dea_data.

dim_x, dim_y, dim_z

Names of the quantities to map to the three axes. Each is either an input/output variable name or an efficiency model ("crs", "vrs", "drs", "irs", "fdh", "add"; a trailing "_efficiency" is also accepted).

color

Quantity mapping to point colour (same options as the axes; default "crs").

orientation

Measurement orientation for efficiency scores, passed to compute_efficiency (default "in").

labels

Which DMUs to label: "none" (default), "all" / "max.overlaps" (label every point), or the name/id of a single DMU to label only that one.

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.

...

Additional arguments passed to plotly::plot_ly.

Value

A plotly object.

See also

compute_efficiency

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_3dscatter(df, dim_x = "x1", dim_y = "x2", dim_z = "y", color = "crs")