desplot (version 1.10)

geom_tileborder: Borders between tiles

Description

`geom_tileborder` draws a border between tiles of different classes. The required aesthetics are `aes(x,y,grp)`, where `grp` is the grouping classification that separates tiles.

Usage

geom_tileborder(
  mapping = NULL,
  data = NULL,
  geom = "segment",
  position = "identity",
  na.rm = TRUE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping

Set of aesthetic mappings created by 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. A function can be created from a formula (e.g. ~ head(.x, 10)).

geom

The geometric object to use to display the data, either as a ggproto Geom subclass or as a string naming the geom stripped of the geom_ prefix (e.g. "point" rather than "geom_point")

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

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.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().

...

Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

Details

Note, we cannot use `aes(group)` because it groups the interaction of ALL discrete variables including facets. Since we do not want to draw a border between facets, we had to define a new aesthetic. See: # http://ggplot2.tidyverse.org/reference/aes_group_order.html

Also, we do not want to split the data into separate groups for each level of `grp`, so we need to include `aes(group=1)`.

Examples

dd <- data.frame(
  x=c(1,2,1,2,3,1,2,1,2,3),
  y=c(2,2,2,2,2,1,1,1,1,1),
  loc=factor(c(1,1,2,2,2,1,1,2,2,2)),
  rep=factor(c(2,2,1,2,3,1,1,1,2,3)))
library(ggplot2)
ggplot(dd, aes(x=x, y=y)) +
  facet_wrap( ~ loc) +
  geom_tile(aes(fill=rep)) +
  geom_tileborder(aes(group=1, grp=rep), lwd=1.5)
# Compare to lattice version of desplot
# desplot::desplot(rep ~ x*y|loc, data=dd, out1=rep)