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.
Source
Allen M, Poggiali D, Whitaker K et al. Raincloud plots: a multi-platform tool for robust data visualization. Wellcome Open Res 2019, 4:63 (tools:::Rd_expr_doi("10.12688/wellcomeopenres.15191.1") )
plot_raincloud(data, y, horizontal =FALSE, groups, point_size =0.5,...)
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(...))
Returns
An object of class gg, i.e. a ggplot object from the ggplot2 package
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)?")
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.