beeStripBox: plot quantitative x categorical data

In lukereding/redingPlot: Collection of plotting functions

Description

plots a histogram of your individual data points alongside a boxplot for each group

Usage

beeStripBox(data, group, lab = rep(c(), length(data)), point_size = 1.4,
  beeMethod = "center", line_width = 3, point_col = ifelse(is.list(data)
  %>% rep(20), viridis(length(data) + 1)[1:length(data)],
  viridis(nlevels(group) + 1)[1:nlevels(group)]),
  y_limits = c(ifelse(is.list(data), min(unlist(data)), min(data)),
  ifelse(is.list(data), max(unlist(data), max(unlist(data))))), mean = FALSE,
  sample_size = T, side = -1, stats = T, box_thickness = 0.2,
  box_color = FALSE, ...)

Arguments

data	list of groups you want to plot, or, if group is not left blank, a data frame
group	if you gave a dataframe for data, group is the name of the column containing group identities
lab	labels for groups
point_size	size of plotting characters. defaults to 1.4
beeMethod	see beeswarm. defaults to "center"
line_width	width of the line
point_col	color of the each group. defaults to viridis colors
y_limits	limits of the y axis
mean	does nothing right now
sample_size	logical. plot sample size under each group?
side	defaults to -1. determines whether the histogram are stacked to the right or the left
stats	logical. do an ANOVA and print the p-value to the plot?
box_thickness	thickness of the lines that form the boxplot. defaults to 0.2
box_color	defaults to FALSE. color of the lines that form the boxes
...	other arguments to pass to par()

Value

ANOVA results

Examples

data(iris); beeStripBox(iris$Sepal.Length,iris$Species,xlab="species",ylab="sepal length",main="beeStripBox() example")

lukereding/redingPlot documentation built on May 21, 2019, 8:58 a.m.