Ridge Plot Visualization
Usage
jggridges(
data,
x_var,
y_var,
color_var = NULL,
facet_var = NULL,
plot_type = "density_ridges",
scale = 1,
rel_min_height = 0.01,
alpha = 0.8,
bandwidth = "nrd0",
quantile_lines = FALSE,
quantiles = "0.25, 0.5, 0.75",
jittered_points = FALSE,
point_alpha = 0.5,
color_palette = "viridis",
reverse_order = FALSE,
expand_panel = TRUE,
theme_style = "theme_ridges",
x_label = "",
y_label = "",
plot_title = "",
plot_subtitle = "",
show_mean = FALSE,
show_statistics = TRUE,
show_interpretation = TRUE
)Arguments
- data
R object to use
- x_var
Continuous variable for distribution visualization
- y_var
Grouping variable for separate ridges
- color_var
Variable for color mapping
- facet_var
Variable for facetting plots
- plot_type
Type of ridge plot to create
- scale
Scaling factor for ridge heights
- rel_min_height
Minimum height of ridges relative to overall scale
- alpha
Transparency level for ridges
- bandwidth
Bandwidth selection method for density estimation
- quantile_lines
Add quantile lines to ridges
- quantiles
Quantiles to display as lines (comma-separated)
- jittered_points
Add jittered points below ridges
- point_alpha
Transparency for jittered points
- color_palette
Color palette for ridges
- reverse_order
Reverse the order of groups on Y axis
- expand_panel
Remove space around plot area
- theme_style
ggplot2 theme style
- x_label
Custom label for X axis
- y_label
Custom label for Y axis
- plot_title
Title for the plot
- plot_subtitle
Subtitle for the plot
- show_mean
Add vertical lines at group means
- show_statistics
Display summary statistics
- show_interpretation
Display result interpretation