geom
Displays a 1d distribution by dividing variable mapped to x axis into bins and counting the number of observations in each bin.
Notes
Computed variables:
..count.. : number of points with x-axis coordinate in the same bin.
..density.. : normalised number of points so that plot area is 1.
..sumprop.. : normalised number of points so that sum of y-values is 1.
..sumpct.. : normalised number of points so that sum of y-values is 100.
..binwidth.. : width of each bin.
To hide axis tooltips, set "blank" or the result of elementBlank() to the axisTooltip or axisTooltipX 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.bin(). The statistical transformation to use on the data for this layer. Supported transformations: Stat.identity, Stat.bin(), Stat.count(), etc. see Stat.
default = positionStack(). 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.
Result of the call to the layerLabels() function. Specifies style and content of the annotations.
Specifies the axis that the layer's stat and geom should run along, default = "x". Possible values: "x", "y".
X-axis value (this value will produce cases or bins for bars).
Y-axis value (this value will be used to multiply the bar heights), setting y to "..density.." produces normalized (density) histogram.
Transparency level of a layer. Understands numbers between 0 and 1.
Color of geometry lines. For more info see: aesthetics.html#color-and-fill.
Fill color. For more info see: aesthetics.html#color-and-fill.
Defines bar line width.
Used by Stat.bin() to compute weighted sum instead of simple count.
Number of bins. Overridden by binWidth.
The width of the bins. The default is to use bin widths that cover the entire range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data.
Specifies x-value to align bin centers to.
Specifies x-value to align bin boundary (i.e. point between bins) to.
default = null Only bins with a ..count.. greater than the threshold will be displayed. This is useful for free scales in facets - use threshold=0 to make the plot take up the entire panel space.
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".