scale_waist_continuous {ggsankeyfier}

Sankey edge waist line scales

Description

The waist scale can be used to control the waist (i.e., the width of the edge at its centre) of edges in Sankey diagrams, in order to put emphasis on specific edges.

Usage

scale_waist_continuous(..., range = c(0, 1))

scale_waist_datetime(..., range = c(0, 1))

scale_waist_binned(..., range = c(0, 1))

scale_waist_discrete(..., range = c(0, 1))

scale_waist_manual(..., values = NULL, breaks = ggplot2::waiver())

scale_waist_identity(..., guide = "none")

Arguments

...

arguments passed onto underpinning scale constructors.

range

A vector of two numeric values used to scale the waist in between. Should be ⁠>= 0⁠.

values

a set of aesthetic values to map data values to. The values will be matched in order (usually alphabetical) with the limits of the scale, or with breaks if provided. If this is a named vector, then the values will be matched based on the names instead. Data values that don't match will be given na.value.

breaks

One of:

• NULL for no breaks

• waiver() for the default breaks (the scale limits)

• A character vector of breaks

• A function that takes the limits as input and returns breaks as output

guide

Guide to use for this scale. Defaults to "none".

Details

This scale can be used to scale the centre of a Sankey edge. At one end of the scale the edge will be shaped like an hour glass, at the other end it will be shaped as an apple.

Value

Returns a ggplot2::Scale object which can be added to a ggplot2::ggplot to control the waist of Sankey diagram edges.

Author(s)

Pepijn de Vries

Examples

if (requireNamespace("ggplot2")) {
  library(ggplot2)
  data("ecosystem_services")

  p <-
    ggplot(ecosystem_services_pivot1, aes(x = stage, y = RCSES, group = node,
                                          connector = connector,
                                          edge_id = edge_id,
                                          waist = RCSES)) +
   geom_sankeyedge(v_space = "auto", ncp = 10) +
    geom_sankeynode(v_space = "auto")

  p + scale_waist_binned(range = c(0.1, 2))
  p + scale_waist_binned(range = c(2, 0.1))
}