Plot distances to group/time centroids from a beta_dispersion object
(output of compute_dispersion()) as violins, hollow boxplots and/or
jittered points, by level on the x-axis.
Usage
plot_dispersion(
x,
scope = "group",
contrast = "<global>",
show_violin = TRUE,
show_box = TRUE,
show_points = TRUE,
point_size = 1.5,
point_alpha = 0.6,
width_violin = 0.9,
width_box = 0.5,
jitter_width = 0.1,
jitter_height = 0,
add_pvalue = TRUE
)Arguments
- x
A
beta_dispersionobject returned bycompute_dispersion().- scope
Character scalar indicating which dispersion scope to plot. Typically one of
"group","time"or"group:time". Must match values inx$distances$scope. Default"group".- contrast
Character scalar indicating which contrast within
scopeto plot, e.g."<global>"or"A vs B". Must match values inx$distances$contrast. Default"<global>".- show_violin
Logical; if
TRUE(default) draw a violin layer.- show_box
Logical; if
TRUE(default) draw hollow boxplots (fill = NA) per level.- show_points
Logical; if
TRUE(default) draw jittered points.- point_size
Numeric point size for jitter layer. Default 1.5.
- point_alpha
Numeric alpha for jitter layer. Default 0.6.
- width_violin
Width of violin layer. Default 0.9.
- width_box
Width of boxplot layer. Default 0.5.
- jitter_width, jitter_height
Jitter width/height for points. Defaults:
0.1and0.- add_pvalue
Logical; if
TRUE(default) and a matching row is found inx$tests, the p-value is shown in the subtitle.
Examples
if (FALSE) { # \dontrun{
disp_res <- compute_dispersion(dist_bc, ps, group_col = "group_char")
# Global group dispersion:
plot_dispersion(disp_res, scope = "group", contrast = "<global>")
# Pairwise contrast, with only boxplots + points:
plot_dispersion(
disp_res,
scope = "group",
contrast = "dementia vs control",
show_violin = FALSE,
show_box = TRUE,
show_points = TRUE
)
} # }