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, package = "reshape") 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`.