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, package = "reshape") 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) ))