GGally: stat_cross – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

GGally

stat_cross

Compute cross-tabulation statistics

Description

Computes statistics of a 2-dimensional matrix using augment.htest from broom.

Usage

stat_cross(
  mapping = NULL,
  data = NULL,
  geom = "point",
  position = "identity",
  ...,
  na.rm = TRUE,
  show.legend = NA,
  inherit.aes = TRUE,
  keep.zero.cells = FALSE
)

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. A `function` can be created from a `formula` (e.g. `~ head(.x, 10)`).
`geom`	Override the default connection between `geom_point` and `stat_prop`.
`position`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`...`	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 `TRUE`, 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()`.
`keep.zero.cells`	If `TRUE`, cells with no observations are kept.

Aesthetics

stat_prop requires the x and the y aesthetics.

Computed variables

observed: number of observations in x,y
prop: proportion of total
row.prop: row proportion
col.prop: column proportion
expected: expected count under the null hypothesis
resid: Pearson's residual
std.resid: standardized residual

Examples

# Small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive

d <- as.data.frame(Titanic)

# plot number of observations
p_(ggplot(d) +
 aes(x = Class, y = Survived, weight = Freq, size = after_stat(observed)) +
 stat_cross() +
 scale_size_area(max_size = 20))

# custom shape and fill colour based on chi-squared residuals
p_(ggplot(d) +
 aes(
   x = Class, y = Survived, weight = Freq,
   size = after_stat(observed), fill = after_stat(std.resid)
 ) +
 stat_cross(shape = 22) +
 scale_fill_steps2(breaks = c(-3, -2, 2, 3), show.limits = TRUE) +
 scale_size_area(max_size = 20))

# plotting the number of observations as a table
p_(ggplot(d) +
 aes(
   x = Class, y = Survived, weight = Freq, label = after_stat(observed)
 ) +
 geom_text(stat = "cross"))

# Row proportions with standardized residuals
p_(ggplot(d) +
  aes(
    x = Class, y = Survived, weight = Freq,
    label = scales::percent(after_stat(row.prop)),
    size = NULL, fill = after_stat(std.resid)
  ) +
  stat_cross(shape = 22, size = 30) +
  geom_text(stat = "cross") +
  scale_fill_steps2(breaks = c(-3, -2, 2, 3), show.limits = TRUE) +
  facet_grid(Sex ~ .) +
  labs(fill = "Standardized residuals") +
  theme_minimal())

# can work with continuous or character variables
data(tips, package = "reshape")
p_(ggplot(tips) +
  aes(x = tip, y = as.character(day), size = after_stat(observed)) +
  stat_cross(alpha = .1, color = "blue") +
  scale_size_area(max_size = 12))

GGally

Extension to 'ggplot2'

v2.1.1

GPL (>= 2.0)

Authors

Barret Schloerke [aut, cre], Di Cook [aut, ths], Joseph Larmarange [aut], Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths], Hadley Wickham [ths]

Initial release

stat_cross

Description

Usage

Arguments

Aesthetics

Computed variables

Examples

GGally

We don't support your browser anymore