position_quasirandom: Arrange points using quasirandom noise to avoid overplotting

In eclarke/ggbeeswarm: Categorical Scatter (Violin Point) Plots

Arrange points using quasirandom noise to avoid overplotting

Description

Arrange points using quasirandom noise to avoid overplotting

Usage

position_quasirandom(
  method = "quasirandom",
  width = NULL,
  varwidth = FALSE,
  bandwidth = 0.5,
  nbins = NULL,
  dodge.width = 0,
  orientation = NULL,
  groupOnX = NULL,
  na.rm = FALSE
)

Arguments

method	Method used for distributing points. Options are "quasirandom" (default), "pseudorandom", "smiley", "maxout", "frowney", "minout", "tukey", "tukeyDense". See vipor::offsetSingleGroup() for the details of each method.
width	Maximum amount of spread (default: 0.4)
varwidth	Vary the width by the relative size of each group. (default: FALSE)
bandwidth	the bandwidth adjustment to use when calculating density Smaller numbers (< 1) produce a tighter "fit". (default: 0.5)
nbins	the number of bins used when calculating density (has little effect with quasirandom/random distribution)
dodge.width	Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor. To disable dodging between groups, set this to NULL. (default: 0)
orientation	The orientation (i.e., which axis to group on) is inferred from the data. This can be overridden by setting orientation to either "x" or "y".
groupOnX	See orientation.
na.rm	if FALSE (default), missing values are removed with a warning. If TRUE, missing values are silently removed.

See Also

vipor::offsetSingleGroup(), geom_quasirandom()

Other position adjustments: offset_beeswarm(), position_beeswarm()

eclarke/ggbeeswarm documentation built on Nov. 16, 2024, 5:26 p.m.