GeomConfmat: Confusion Matrix
In ggpol: Visualizing Social Science Data with 'ggplot2'

Description Usage Arguments Examples

Plot a confusion matrix.

geom_confmat(
  mapping = NULL,
  data = NULL,
  stat = "confmat",
  position = "identity",
  width = NULL,
  height = NULL,
  annotate = TRUE,
  text.perc = FALSE,
  text.digits = 3,
  text.alpha = NULL,
  text.angle = NULL,
  text.colour = NULL,
  text.family = NULL,
  text.fontface = NULL,
  text.group = NULL,
  text.hjust = NULL,
  text.lineheight = NULL,
  text.size = NULL,
  text.vjust = NULL,
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

stat_confmat(
  mapping = NULL,
  data = NULL,
  geom = "tile",
  position = "identity",
  show.legend = NA,
  inherit.aes = TRUE,
  na.rm = FALSE,
  normalize = FALSE,
  ...
)

`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. A `function` can be created from a `formula` (e.g. `~ head(.x, 10)`).
`stat`	The statistical transformation to use on the data for this layer, as a string.
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`width`	The tile height.
`height`	The tile width.
`annotate`	Boolean indicator for whether to include values as text in each tile.
`text.perc`	Boolean indicator for whether to add '%' to the end of each value.
`text.digits`	Numeric vector equal to length one, indicating the number of digits to display. 'round(x, text.digits)'.
`text.alpha`	Alpha value for the text grobs.
`text.angle`	Angle value for the text grobs.
`text.colour`	Colour of the text grobs.
`text.family`	Font family of the text grobs.
`text.fontface`	Font face of the text grobs.
`text.group`	Groups of the text grobs.
`text.hjust`	Hjust of the text grobs.
`text.lineheight`	Lineheight of the text grobs.
`text.size`	Size of the text grobs.
`text.vjust`	Vjust of the text grobs.
`...`	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.
`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()`.
`geom`	The geometric object to use display the data
`normalize`	Boolean indicator for whether to scale the frequency values.

x <- sample(LETTERS[seq(4)], 50, replace = TRUE)
y <- sample(LETTERS[seq(4)], 50, replace = TRUE)

ggplot() + 
  geom_confmat(aes(x = x, y = y), normalize = TRUE, text.perc = TRUE)