Scatterplot for continuous and categorical variables

Make scatterplots compatible with both continuous and categorical variables using geom_autopoint from package ggforce.

ggally_autopoint(data, mapping, ...)

ggally_autopointDiag(data, mapping, ...)

Arguments

data

data set using

mapping

aesthetics being used

...

other arguments passed to geom_autopoint(...)

Author

Joseph Larmarange

Examples

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

data(tips)
p_(ggally_autopoint(tips, mapping = aes(x = tip, y = total_bill)))

p_(ggally_autopoint(tips, mapping = aes(x = tip, y = sex)))

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

p_(ggally_autopoint(tips, mapping = aes(x = smoker, y = sex, color = day)))

p_(ggally_autopoint(tips, mapping = aes(x = smoker, y = sex), size = 8))

p_(ggally_autopoint(tips, mapping = aes(x = smoker, y = sex), alpha = .9))


p_(ggpairs(
  tips,
  mapping = aes(colour = sex),
  upper = list(discrete = "autopoint", combo = "autopoint", continuous = "autopoint"),
  diag = list(discrete = "autopointDiag", continuous = "autopointDiag")
))
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.