geomSmooth

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.smooth(). The statistical transformation to use on the data for this layer. Supported transformations: Stat.identity, Stat.bin(), Stat.count(), etc. see Stat.

Position adjustment: positionIdentity, positionStack(), positionDodge(), etc. see Position.

default = true. false - do not show legend for this layer.

Result of the call to the samplingXxx() function. To prevent any sampling for this layer pass value samplingNone. For more info see sampling.md.

Result of the call to the layerTooltips() function. Specifies appearance, style and content.

Specifies the axis that the layer's stat and geom should run along, default = "x". Possible values: "x", "y".

X-axis value.

Predicted (smoothed) value.

Lower pointwise confidence interval around the mean.

Upper pointwise confidence interval around the mean.

Transparency level of a layer. Understands numbers between 0 and 1.

Color of the geometry. String in the following formats:

• RGB/RGBA (e.g. "rgb(0, 0, 255)")

• HEX (e.g. "#0000FF")

• color name (e.g. "red")

• role name ("pen", "paper" or "brush")

Or an instance of the java.awt.Color class.

Filling color for the confidence interval around the line. String in the following formats:

• RGB/RGBA (e.g. "rgb(0, 0, 255)")

• HEX (e.g. "#0000FF")

• color name (e.g. "red")

• role name ("pen", "paper" or "brush")

Or an instance of the java.awt.Color class.

Lines width. Defines line width for conditional mean and confidence bounds lines.

Type of the line of conditional mean line. Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash", 5 = "longdash", 6 = "twodash"

default = "lm". Smoothing method: lm (Linear Model) or loess (Locally Estimated Scatterplot Smoothing).

default = 80. Number of points to evaluate smoother at.

default = true. To display confidence interval around smooth.

default = 0.95. Level of confidence interval to use.

default = 0.5. Only for LOESS method. The fraction of source points closest to the current point is taken into account for computing a least-squares regression. A sensible value is usually 0.25 to 0.5.

default = 1. Degree of polynomial for linear regression model.

Random seed for LOESS sampling.

default = 1000. Maximum number of data-points for LOESS method. If this quantity exceeded random sampling is applied to data.

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".