Plots the number of observations

Plot the number of observations by using square points with proportional areas. Could be filled according to chi-squared statistics computed by stat_cross(). Labels could also be added (see examples).

ggally_cross(data, mapping, ..., scale_max_size = 20, geom_text_args = NULL)

Arguments

data

data set using

mapping

aesthetics being used

...

other arguments passed to ggplot2::geom_point()

scale_max_size

max_size argument supplied to ggplot2::scale_size_area()

geom_text_args

other arguments passed to ggplot2::geom_text()

Author

Joseph Larmarange

Examples

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

data(tips)
p_(ggally_cross(tips, mapping = aes(x = smoker, y = sex)))

p_(ggally_cross(tips, mapping = aes(x = day, y = time)))


# Custom max size
p_(ggally_cross(tips, mapping = aes(x = smoker, y = sex)) +
  scale_size_area(max_size = 40))
#> Scale for size is already present.
#> Adding another scale for size, which will replace the existing scale.


# Custom fill
p_(ggally_cross(tips, mapping = aes(x = smoker, y = sex), fill = "red"))


# Custom shape
p_(ggally_cross(tips, mapping = aes(x = smoker, y = sex), shape = 21))


# Fill squares according to standardized residuals
d <- as.data.frame(Titanic)
p_(ggally_cross(
  d,
  mapping = aes(x = Class, y = Survived, weight = Freq, fill = after_stat(std.resid))
) +
  scale_fill_steps2(breaks = c(-3, -2, 2, 3), show.limits = TRUE))


# Add labels
p_(ggally_cross(
  tips,
  mapping = aes(
    x = smoker, y = sex, colour = smoker,
    label = scales::percent(after_stat(prop))
  )
))


# Customize labels' appearance and same size for all squares
p_(ggally_cross(
  tips,
  mapping = aes(
    x = smoker, y = sex,
    size = NULL, # do not map size to a variable
    label = scales::percent(after_stat(prop))
  ),
  size = 40, # fix value for points size
  fill = "darkblue",
  geom_text_args = list(colour = "white", fontface = "bold", size = 6)
))