plot_distributions: Plot distributions with pairwise annotations and flexibility

In keshavmot2/ggexp: Publication Quality Exploratory Data Visualization Using ggplot2

Description

Plot distributions with pairwise annotations and flexibility

Usage

plot_distributions(
  data,
  x,
  y,
  type = "quasirandom",
  add_boxplot = ifelse(type %in% c("density", "ridge", "line"), FALSE, TRUE),
  group = NULL,
  color = NULL,
  fill = NULL,
  alpha = 1,
  point_size = 1,
  text_size = 2,
  scale = "default",
  annotate_counts = TRUE,
  pairwise_annotation = NULL,
  pairwise_annotation_label = "p_signif",
  pairwise_annotation_exclude = c(),
  pairwise_annotation_tier_width = 0.16,
  lower_quantile = 0,
  upper_quantile = 1,
  drop_outliers = FALSE,
  facet_rows = c(),
  facet_columns = c(),
  facet_type = "grid",
  ...
)

Arguments

data	data frame containing dataset to use for plotting
x	column for x-axis
y	column for y-axis
type	type of plot - can be "line", "sina", "quasirandom", "density", "violin", "box", or "ridge"
add_boxplot	boolean to add boxplot on top of selected plot type
group	column for group aesthethic, used if type == "line"
color	column for color
fill	column for fill
alpha	alpha of points
point_size	size of points for plot types with individual points
text_size	text size for count annotations
scale	either "default" for linearly-spaced scale or "log" for log-spaced
annotate_counts	boolean whether to annotate counts per group or not
pairwise_annotation	data frame containing pairwise annotations
pairwise_annotation_label	column of pairwise_annotation data to use for annotation text
pairwise_annotation_exclude	values to not annotate on pairwise annotations
pairwise_annotation_tier_width	relative distance between tiers for pairwise annotations, between 0 and 1
lower_quantile	lower quantile beyond which to limit axis
upper_quantile	upper quantile beyond which to limit axis
drop_outliers	whether to drop outliers, or not (mask values at the limits)
facet_rows	columns for faceting by row
facet_columns	columns for faceting by column
facet_type	either "wrap" or "grid", corresponding to facet_wrap and facet_grid respectively
...	params passed into either facet_wrap or facet_grid, depending on facet_type parameter

Value

ggplot object

keshavmot2/ggexp documentation built on Feb. 6, 2021, 1:38 a.m.