Make tile plot or density plot as compact as possible.
ggally_facetdensitystrip(data, mapping, ..., den_strip = FALSE)Arguments
- data
data set using
- mapping
aesthetics being used
- ...
other arguments being sent to either geom_histogram or stat_density
- den_strip
boolean to decide whether or not to plot a density strip(TRUE) or a facet density(FALSE) plot.
Examples
example(ggally_facetdensity)
#>
#> gglly_> # Small function to display plots only if it's interactive
#> gglly_> p_ <- GGally::print_if_interactive
#>
#> gglly_> data(tips)
#>
#> gglly_> p_(ggally_facetdensity(tips, mapping = ggplot2::aes(x = total_bill, y = sex)))
#>
#> gglly_> p_(ggally_facetdensity(
#> gglly_+ tips,
#> gglly_+ mapping = ggplot2::aes(sex, total_bill, color = sex)
#> gglly_+ ))
example(ggally_denstrip)
#>
#> gglly_> # Small function to display plots only if it's interactive
#> gglly_> p_ <- GGally::print_if_interactive
#>
#> gglly_> data(tips)
#>
#> gglly_> p_(ggally_denstrip(tips, mapping = ggplot2::aes(x = total_bill, y = sex)))
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> Warning: Removed 15 rows containing missing values (`geom_bar()`).
#>
#> gglly_> p_(ggally_denstrip(
#> gglly_+ tips,
#> gglly_+ mapping = ggplot2::aes(sex, tip), binwidth = 0.2
#> gglly_+ ) + ggplot2::scale_fill_gradient(low = "grey80", high = "black"))
#> Warning: Removed 41 rows containing missing values (`geom_bar()`).
