geom_smooth(data: Map<*, *>? = null, stat: StatOptions = Stat.smooth(), position: PosOptions = Pos.identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = null, x: Double? = null, y: Double? = null, ymin: Double? = null, ymax: Double? = null, size: Number? = null, linetype: Any? = null, color: Any? = null, fill: Any? = null, alpha: Number? = null, method: String? = null, n: Int? = null, level: Number? = null, se: Boolean? = null, span: Number? = null, deg: Int? = null, seed: Long? = null, maxN: Int? = null, mapping: SmoothMapping.() -> Unit = {})
Add a smoothed conditional mean.
data
- dictionary, optional.
The data to be displayed in this layer. If None, the default, the data
is inherited from the plot data as specified in the call to lets_plot.
stat
- string, optional.
The statistical transformation to use on the data for this layer.
position
- string, optional.
Position adjustment, either as a string ("identity", "stack", "dodge", ...), or the result of a call to a
position adjustment function.
tooltips
- result of the call to the layer_tooltips() function.
Specifies appearance, style and content.
y
- predicted (smoothed) value.
ymin
- lower pointwise confidence interval around the mean.
ymax
- upper pointwise confidence interval around the mean.
alpha
- transparency level of a layer.
Understands numbers between 0 and 1.
color
- (colour) color of a geometry.
Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
size
- lines width.
Defines line width for conditional mean and confidence bounds lines.
linetype
- type of the line of tile's border
Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
5 = "longdash", 6 = "twodash"
method
- smoothing method: lm (Linear Model) or loess (Locally Estimated Scatterplot Smoothing).
Default is 'lm'.
n
- number of points to evaluate smoother at. Default is 80.
se
- boolean, to display confidence interval around smooth. Default - true.
level
- level of confidence interval to use. Default - 0.95.
span
- number, optional. 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.
deg
- degree of polynomial for linear regression model. Default - 1.
seed
- random seed for LOESS sampling.
maxN
- maximum number of data-points for LOESS method. Default - 1000.
If this quantity exceeded random sampling is applied to data.
mapping
- set of aesthetic mappings.
Aesthetic mappings describe the way that variables in the data are
mapped to plot "aesthetics".