make_density: Create a density plot from a data frame through ggplotly

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Description

Create a density plot from a data frame through ggplotly

Usage

make_density(
  dt,
  value,
  groups = NULL,
  faceted = TRUE,
  scales = "fixed",
  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.
faceted	If TRUE (default), each group will be plotted separately.
scales	From ggplot2::facet_wrap: Should scales be 'fixed', 'free', or free in one dimension ('free_x', 'free_y'). Default is 'fixed'.
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 density plot.

Examples

make_density(dt = iris,
             value = 'Sepal.Length',
             groups = 'Species')
make_density(dt = iris,
             value = 'Sepal.Length',
             groups = 'Species',
             faceted = FALSE)

chronicle documentation built on June 25, 2021, 9:09 a.m.