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)
data |
data set using |
mapping |
aesthetics being used |
... |
other arguments passed to |
scale_max_size |
|
geom_text_args |
other arguments passed to |
Joseph Larmarange
# 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)) # 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) ))
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