geomSina

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.sina(). 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.

X-axis coordinates.

Y-axis coordinates.

Density scaled for the sina 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.

Shape of the sina points. For more info see: aesthetics.html#point-shapes.

Lines width. Defines line width.

Width of the shape border. Applied only to the shapes having border.

Width of sina bounding box.

Used by Stat.sina() stat to compute weighted density.

A random seed to make the jitter reproducible. If null (the default value), the seed is initialised with a random value.

default = 0.

• If -1, only half of each group is drawn.

• If 1, another half is drawn.

• If 0, sina look as usual.

Draw horizontal lines at the given quantiles of the density estimate.

default = "area".

• If "area", all groups have the same area.

• If "count", areas are scaled proportionally to the number of observations.

• If "width", all groups have the same maximum width.

default = true. Trim the tails of the violins, which limit the area for sina points, to the range of the data.

default = 3.0. Extend domain of each violin, which limit the area for sina points, on tailsCutoff * bw if trim = false.

The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic").

String or Double. The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd") or a double.

Adjusts the value of bandwidth by multiplying it. Changes how smooth the frequency curve is.

The number of sampled points for plotting the function.

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".