geom Pie
Draws pie chart.
Notes
Computed variables:
..count.. : number of points with same (x,y) coordinate.
..sum.. : total number of points with same (x,y) coordinate.
..prop.. : groupwise proportion.
..proppct.. : groupwise proportion in percent.
..sumprop.. : proportion of points with same (x,y) coordinate among all points in the dataset.
..sumpct.. : proportion of points with same (x,y) coordinate among all points in the dataset in percent.
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.count2d()
. 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.
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.
Data-structure containing series of planar shapes and, optionally, associates data series (for example: names of States and their boundaries).
Supported shapes: Point and MultiPoint.
All coordinates should be encoded as decimal degrees in WGS84 coordinate reference system. Can be used with parameter mapJoin
for joining data and map coordinates.
Pair of Names or Pair of Lists of Names. Specifies column names to join the data
and the map
coordinates on.
Pair.first: column name or list of column names in the
data
dataframe.Pair.second: column name or list of column names in the
map
dataframe.
By default, all coordinates are converted into degrees of longitude and latitude, and these map coordinates are projected onto the screen coordinates using Mercator projection. Specify useCRS = "provided" to keep the SpatialDataset's original coordinate reference system (CRS).
X-axis value.
Y-axis value.
Values associated to pie sectors.
Values to explode slices away from their center point, detaching it from the main pie.
Pie diameter.
Fill color. For more info see: aesthetics.html#color-and-fill.
Transparency level of a layer. Understands numbers between 0 and 1.
Color of inner and outer arcs of pie sector. For more info see: aesthetics.html#color-and-fill.
Width of inner and outer arcs of pie sector.
Used by Stat.count2d()
stat to compute weighted sum instead of simple count.
default = 0.0. A multiplicative factor applied to the pie diameter to draw donut-like chart. Understands numbers between 0 and 1.
default = "both" ("outer", "inner", "both"). Defines which arcs of pie sector should have a stroke.
default = 0.75. Line width between sectors. Spacers are not applied to exploded sectors and to sides of adjacent sectors.
Color for spacers between sectors. By default, the "paper" color is used. For more info see: aesthetics.html#color-and-fill.
Relates the size of the pie chart to the length of the unit step along one of the axes. Possible values: "x", "y". If not specified, no fitting is performed.
default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the fill aesthetic for the geometry.
default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the color aesthetic for the geometry.
Set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".