geom Violin
A violin plot is a mirrored density plot with an additional grouping as for a boxplot.
Notes
Computed variables:
..violinwidth.. : density scaled for the violin plot, according to area, counts or to a constant maximum width (mapped by default).
..density.. : density estimate.
..count.. : density * number of points.
..scaled.. : density estimate, scaled to maximum of 1.
..quantile.. : quantile estimate.
To hide axis tooltips, set "blank" or the result of elementBlank()
to the axisTooltip
, axisTooltipX
or axisTooltipY
parameter of the theme()
.
Examples
Parameters
The data to be displayed in this layer. If null, the default, the data is inherited from the plot data as specified in the call to letsPlot.
default = Stat.yDensity()
. The statistical transformation to use on the data for this layer. Supported transformations: Stat.identity
, Stat.bin()
, Stat.count()
, etc. see Stat.
default = positionDodge()
. Position adjustment: positionIdentity
, positionStack()
, positionDodge()
, etc. see Position.
default = true. false - do not show legend for this layer.
default = true. false - do not combine the layer aesthetic mappings with the plot shared mappings.
String or result of the call to the layerKey()
function. The key to show in the manual legend. Specifies the text for the legend label or advanced settings using the layerKey()
function.
Result of the call to the samplingXxx()
function. To prevent any sampling for this layer pass value samplingNone
. For more info see sampling.html.
Result of the call to the layerTooltips()
function. Specifies appearance, style and content. Set tooltips = tooltipsNone
to hide tooltips from the layer.
Specifies the axis that the layer's stat and geom should run along. The default value (null
) automatically determines the orientation based on the aesthetic mapping. If the automatic detection doesn't work, it can be set explicitly by specifying the "x" or "y" orientation.
Draw horizontal lines at the given quantiles of the density estimate.
default = false. Show the quantile lines.
default = 0.
If -1 then it's drawing only half of each violin.
If 1 then it's drawing other half.
If 0 then violins looking as usual.
X-axis coordinates.
Y-axis coordinates.
Density scaled for the violin plot, according to area, counts or to a constant maximum width.
Transparency level of a layer. Understands numbers between 0 and 1.
Color of the geometry. For more info see: aesthetics.html#color-and-fill.
Fill color. For more info see: aesthetics.html#color-and-fill.
Type of the line of border. Accept codes or names (0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash", 5 = "longdash", 6 = "twodash"), a hex string (up to 8 digits for dash-gap lengths), or a pattern offset to listOf(dash, gap, ...)
/ listOf(dash, gap, ...)
. For more info see: aesthetics.html#line-types.
Lines width. Defines line width.
Width of violin bounding box.
Used by Stat.yDensity()
stat to compute weighted density.
default = "area".
If "area", all violins have the same area.
If "count", areas are scaled proportionally to the number of observations.
If "width", all violins have the same maximum width.
default = 3.0. Extends domain of each violin on tailsCutoff * bw
if trim = false
.
String or Double. The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd") or a double.
The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic").
The number of sampled points for plotting the function.
default = true. Trims the tails of the violins to the range of the data.
Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.
Maximum size of data to use density computation with "full scan". For bigger data, less accurate but more efficient density computation is applied.
default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the color aesthetic for the geometry.
default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the fill aesthetic for the geometry.
Set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".