make_raincloud {chronicle}

Create a raincloud plot from a data frame through ggplotly

Description

Create a raincloud plot from a data frame through ggplotly

Usage

make_raincloud(
  dt,
  value,
  groups = NULL,
  adjust = 0.5,
  include_boxplot = TRUE,
  include_mean = FALSE,
  include_median = TRUE,
  force_all_jitter_obs = FALSE,
  ggtheme = "minimal",
  x_axis_label = NULL,
  plot_palette = NULL,
  plot_palette_generator = "plasma",
  static = FALSE
)

Arguments

dt

data.frame containing the data to plot.

value

Name of the column to use as values on the y axis of the plot.

groups

Name of the column containing the different groups.

adjust

Width of the kernel bins. The smaller the value, the higher the resolution of the density. For full details, see ?ggplot2::stat_density.

include_boxplot

Include a boxplot over the raincloud. Default is TRUE.

include_mean

Mark the median of each distribution. Default is TRUE.

include_median

Mark the mean of each distribution. Default is FALSE.

force_all_jitter_obs

When the data has more than 1000 observations, the function will sample 1000 observations in order to keep the object reasonably small. If you need to override it, set this value to TRUE.

ggtheme

ggplot2 theme function to apply. Default is ggplot2::theme_minimal.

x_axis_label

Label for the x axis.

plot_palette

Character vector of hex codes specifying the colors to use on the plot.

plot_palette_generator

Palette from the viridis package used in case plot_palette is unspecified or insufficient for the number of colors required.

static

If TRUE (or if the dataset is over 10,000 rows), the output will be static ggplot chart instead of an interactive ggplotly chart. Default is FALSE.

Value

A plotly-ized version of a ggplot raincloud plot.

Examples

make_raincloud(dt = iris, value = 'Sepal.Width')
make_raincloud(dt = iris, value = 'Sepal.Width', adjust = 1)
make_raincloud(dt = iris, value = 'Petal.Length', groups = 'Species', static = TRUE, adjust = 1)
make_raincloud(dt = iris, value = 'Sepal.Length', groups = 'Species', adjust = 1)