Display contours of a 3d surface in 2d.
Display contours of a 3d surface in 2d.
geom_contour( mapping = NULL, data = NULL, stat = "contour", position = "identity", ..., lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) stat_contour( mapping = NULL, data = NULL, geom = "contour", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
other arguments passed on to |
lineend |
Line end style (round, butt, square) |
linejoin |
Line join style (round, mitre, bevel) |
linemitre |
Line mitre limit (number greater than 1) |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
geom |
The geometric object to use display the data |
geom_contour
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
linetype
size
weight
height of contour
geom_density_2d
: 2d density contours
#' # Basic plot v <- ggplot(faithfuld, aes(waiting, eruptions, z = density)) v + geom_contour() # Or compute from raw data ggplot(faithful, aes(waiting, eruptions)) + geom_density_2d() # Setting bins creates evenly spaced contours in the range of the data v + geom_contour(bins = 2) v + geom_contour(bins = 10) # Setting binwidth does the same thing, parameterised by the distance # between contours v + geom_contour(binwidth = 0.01) v + geom_contour(binwidth = 0.001) # Other parameters v + geom_contour(aes(colour = ..level..)) v + geom_contour(colour = "red") v + geom_raster(aes(fill = density)) + geom_contour(colour = "white")
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