Distributions of inputs and outputs

Shows the distribution of every input and output, either as faceted histograms (default) or as boxplots. By default the variables are standardised so they share a common scale.

Usage

plot_io_distributions(
  x,
  type = c("histogram", "box"),
  bins = 30,
  scale = TRUE,
  labels = "none",
  max.overlaps.value = 10,
  transparency = 0.7,
  x_angle = NULL,
  subtitle = NULL,
  title = NULL,
  interactive = FALSE,
  ...
)

Arguments

x: A dea_data object, or a data frame coerced by as_dea_data.
type: "histogram" (default) or "box".
bins: Number of histogram bins (used when type = "histogram").
scale: Logical; if TRUE (default) variables are standardised (z-scored) before plotting.
labels: Which DMUs to mark: "none" (default), "all" (a rug of every DMU on histograms, jittered points on boxplots), or the name/id of a single DMU to mark it with a dashed vertical line (histogram) or a point (boxplot).
max.overlaps.value: Accepted for API consistency with the other plots; unused here (default 10).
transparency: Opacity of the markers/areas, a single number in [0, 1] (default 0.7).
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; if FALSE (default) returns a static ggplot2 object, if TRUE an interactive plotly object.
...: Additional arguments passed to the underlying geom (geom_histogram or geom_boxplot).

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_distributions(df)

plot_io_distributions(df, type = "box")

Usage

Arguments

Value

See also

Examples