R: Draw rectangular bars and labels on hive axes

geom_axis_hive {ggraph} | R Documentation

## Draw rectangular bars and labels on hive axes

### Description

This function lets you annotate the axes in a hive plot with labels and color coded bars.

### Usage

    geom_axis_hive(mapping = NULL, data = NULL, position = "identity",
      label = TRUE, axis = TRUE, show.legend = NA, ...)

### Arguments

`mapping` | Set of aesthetic mappings created by `aes()` or `aes_()`. If specified and `inherit.aes = TRUE` (the default), it is combined with the default mapping at the top level of the plot. You must supply `mapping` if there is no plot mapping.
`data` | The data to be displayed in this layer. There are three options: If `NULL`, the default, the data is inherited from the plot data as specified in the call to `ggplot()`. A `data.frame`, or other object, will override the plot data. All objects will be fortified to produce a data frame. See `fortify()` for which variables will be created. A `function` will be called with a single argument, the plot data. The return value must be a `data.frame.`, and will be used as the layer data.
`position` | Position adjustment, either as a string, or the result of a call to a position adjustment function.
`label` | Should the axes be labelled. Defaults to `TRUE`
`axis` | Should a rectangle be drawn along the axis. Defaults to `TRUE`
`show.legend` | logical. Should this layer be included in the legends? `NA`, the default, includes if any aesthetics are mapped. `FALSE` never includes, and `TRUE` always includes. It can also be a named logical vector to finely select the aesthetics to display.
`...` | Other arguments passed on to `layer()`. These are often aesthetics, used to set an aesthetic to a fixed value, like `color = "red"` or `size = 3`. They may also be parameters to the paired geom/stat.

### Aesthetics

geom_axis_hive understand the following aesthetics.

- alpha

- colour

- fill

- size

- linetype

- label_size

- family

- fontface

- lineheight

### Author(s)

Thomas Lin Pedersen

### Examples

    # Plot the flare import graph as a hive plot
    library(igraph)
    flareGr <- graph_from_data_frame(flare$imports)
    # Add some metadata to divide nodes by
    V(flareGr)$type <- 'Both'
    V(flareGr)$type[degree(flareGr, mode = 'in') == 0] <- 'Source'
    V(flareGr)$type[degree(flareGr, mode = 'out') == 0] <- 'Sink'
    analyticsNodes <- grep('flare.analytics', V(flareGr)$name)
    E(flareGr)$type <- 'Other'
    E(flareGr)[inc(analyticsNodes)]$type <- 'Analytics'
    ggraph(flareGr, 'hive', axis = 'type') +
        geom_edge_hive(aes(colour = type), edge_alpha = 0.1) +
        geom_axis_hive(aes(colour = type)) +
        coord_fixed()

[Package ggraph version 1.0.2 Index]