position_quasirandom: Separate coincident points with the vipor package

In csdaw/ggbeeswarm2: Categorical Scatter (Violin Point) Plots

Separate coincident points with the vipor package

Description

Offset points to avoid overplotting using the offsetSingleGroup function from the vipor package.

Usage

position_quasirandom(
  method = "quasirandom",
  width = NULL,
  varwidth = FALSE,
  bandwidth = 0.5,
  nbins = NULL,
  dodge.width = NULL
)

Arguments

method	string. Method for arranging points, default is "quasirandom". See details below.
width	numeric. Maximum spacing away from the centre for each group of points, default is 1.
varwidth	boolean. Adjust the width of each group based on the number of points in the group. Default is FALSE.
bandwidth	numeric. Specifies the bandwidth used to calculate the kernel density, default is 1. Smaller values = tighter fit. larger values = looser fit.
nbins	integer The number of points used to calculate density (default is 1000 for quasirandom and pseudorandom, and 100 for others).
dodge.width	numeric. Amount to dodge points from different aesthetic groups, default is NULL for no dodging.

Details

method: specifies the algorithm used to distribute the points.

"quasirandom": points are distributed within a kernel density estimate of the distribution with offset determined by quasirandom Van de Corput noise.

"pseudorandom": points are distributed within a kernel density estimate of the distribution with offset determined by pseudorandom noise a la jitter.

"maxout": points are distributed within a kernel density with points in a band distributed with highest value points on the outside and lowest in the middle.

"minout": points are distributed within a kernel density with points in a band distributed with highest value points in the middle and lowest on the outside.

"tukey": points are distributed as described in Tukey and Tukey, "Strips displaying empirical distributions: I. textured dot strips".

"tukeyDense": points are distributed as described in Tukey and Tukey but are constrained with the kernel density estimate.

See Also

position_beeswarm()

Examples

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csdaw/ggbeeswarm2 documentation built on Sept. 10, 2022, 9:23 a.m.