sdamr (version 0.2.0)

plot_raincloud: Create a raincloud plot

Description

plot_raincloud creates a raincloud plot to display the distribution of data by a combination of a a boxplot, a kernel density plot, and a scatterplot. The boxplot includes the median (displayed as a horizontal line) and the mean (displayed as a point). It does not indicate potential outliers, as these can be seen in the scatter plot. The kernel density plot provides a nonparametric estimate of the distribution. The scatterplot depicts all values in y with random jittering on the x-axis. The data can be grouped by supplying a grouping factor in the groups argument, in which case multiple raincloud plots are shown side by side. As plot_raincloud provides a ggplot2::ggplot object, it can be combined with further layers and functionality from the ggplot2 package.

Usage

plot_raincloud(data, y, horizontal = FALSE, groups, point_size = 0.5, ...)

Value

An object of class gg, i.e. a ggplot object from the ggplot2 package

Arguments

data

Data.frame (or tibble)

y

The unquoted name of the variable in data for which to create the raincloud plot

horizontal

(logical) change the orientation of the plot

groups

An unquoted name of grouping variable in data (ideally a factor)

point_size

Size of the jittered points

...

Other arguments, passed to ggplot(aes(...))

See Also

ggplot2::ggplot() for information about ggplot objects, ggplot2::theme() for information about changing various aspects of the plot, and ggplot2::facet_wrap() and ggplot2::facet_grid() for creating multiple raincloud plots for different levels of grouping factors beyond those specified in groups.

Examples

data(anchoring)
plot_raincloud(anchoring,y=everest_feet)
plot_raincloud(anchoring,y=everest_feet,groups=anchor)
plot_raincloud(anchoring,y=everest_feet,groups=anchor) + 
    ggplot2::facet_wrap(~us_or_international) + 
    ggplot2::ylab("How high is Mount Everest (in feet)?")