geom_quasirandom {ggbeeswarm} | R Documentation |
The quasirandom geom is a convenient means to offset points within categories to reduce overplotting. Uses the vipor package
geom_quasirandom( mapping = NULL, data = NULL, stat = "identity", ..., method = "quasirandom", width = NULL, varwidth = FALSE, bandwidth = 0.5, nbins = NULL, dodge.width = 0, groupOnX = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this
layer, either as a |
... |
Other arguments passed on to |
method |
the method used for distributing points
(quasirandom, pseudorandom, smiley, maxout, frowney, minout, tukey, tukeyDense).
See |
width |
the maximum amount of spread (default: 0.4) |
varwidth |
vary the width by the relative size of each group |
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. |
groupOnX |
|
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
@section Aesthetics:
geom_point()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
shape
size
stroke
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
vipor::offsetSingleGroup()
how spacing is determined,
ggplot2::geom_point()
for regular, unjittered points,
ggplot2::geom_jitter()
for jittered points,
geom_boxplot()
for another way of looking at the conditional
distribution of a variable
ggplot2::qplot(class, hwy, data = ggplot2::mpg, geom='quasirandom') # Generate fake data distro <- data.frame( 'variable'=rep(c('runif','rnorm'),each=100), 'value'=c(runif(100, min=-3, max=3), rnorm(100)) ) ggplot2::qplot(variable, value, data = distro, geom = 'quasirandom') ggplot2::ggplot(distro,aes(variable, value)) + geom_quasirandom(width=0.1)