Create professional violin plots for visualizing the distribution of continuous data across groups. Violin plots combine density estimation with boxplot elements to show both distribution shape and summary statistics.
Usage
jviolin(
data,
dep = NULL,
group = NULL,
col = NULL,
fill = NULL,
excl = FALSE,
flip = FALSE,
add_boxplot = FALSE,
add_points = FALSE,
add_mean = FALSE,
draw_quantiles = FALSE,
quantile_lines = "0.25,0.5,0.75",
trim_violin = TRUE,
scale_violin = "area",
violin_width = 1,
violin_alpha = 0.7,
boxplot_width = 0.1,
boxplot_alpha = 0.8,
point_size = 1.5,
point_alpha = 0.6,
point_jitter = TRUE,
color_palette = "default",
manual_colors = "",
themex = "minimal",
usexlabel = FALSE,
xlabel = "",
useylabel = FALSE,
ylabel = ""
)Arguments
- data
The data to be analyzed
- dep
Continuous variable for y-axis (violin height)
- group
Categorical variable for x-axis (groups)
- col
Optional variable for color mapping (uses grouping variable if empty)
- fill
Optional variable for fill mapping (uses grouping variable if empty)
- excl
Exclude observations with missing data from analysis
- flip
Swap x and y axes for horizontal violin plots
- add_boxplot
Add boxplot inside violin for summary statistics
- add_points
Add individual data points over violin
- add_mean
Add mean values as red diamond points
- draw_quantiles
Draw horizontal lines at specified quantiles
- quantile_lines
Comma-separated quantile values (e.g., 0.25,0.5,0.75)
- trim_violin
Trim violin tails to data range
- scale_violin
How to scale violin widths
- violin_width
Width multiplier for violins
- violin_alpha
Transparency level for violin fill
- boxplot_width
Width of boxplot overlay
- boxplot_alpha
Transparency level for boxplot
- point_size
Size of individual data points
- point_alpha
Transparency level for points
- point_jitter
Add horizontal jitter to prevent point overlap
- color_palette
Color palette for violin fills and outlines
- manual_colors
Comma-separated color values (e.g., red,blue,green)
- themex
Overall plot theme style
- usexlabel
Override default x-axis label
- xlabel
Custom label for x-axis
- useylabel
Override default y-axis label
- ylabel
Custom label for y-axis