| stat_contour {ggplot2} | R Documentation |
Contours of 3d data
stat_contour(mapping=NULL, data=NULL, geom="path", position="identity", na.rm=FALSE, ...)
mapping |
mapping between variables and aesthetics generated by aes |
data |
dataset used in this layer, if not specified uses plot dataset |
geom |
geometric used by this layer |
position |
position adjustment used by this layer |
na.rm |
NULL |
... |
ignored |
This page describes stat_contour, see layer and qplot for how to create a complete plot from individual components.
A layer
The following aesthetics can be used with stat_contour. Aesthetics are mapped to variables in the data with the aes function: stat\_contour(\code{aes}(x = var))
x: x position (required)
y: y position (required)
z: z position (required)
group: how observations are divided into different groups
Hadley Wickham, http://had.co.nz/
## Not run:
# Generate data
volcano3d <- rename(melt(volcano), c(X1="x", X2="y", value="z"))
v <- ggplot(volcano3d, aes(x=x,y=y,z=z))
v + stat_contour()
# Add aesthetic mappings
v + stat_contour(aes(size = ..level..))
v + stat_contour(aes(colour = ..level..))
# Change scale
v + stat_contour(aes(colour = ..level..), size=2) +
scale_colour_gradient(low="brown", high="white")
v + stat_contour() + scale_z_continuous(breaks=c(100, 150))
v + stat_contour(size=0.5) + scale_z_continuous(breaks=seq(95, 195, by=2))
v + stat_contour() + scale_z_log10()
# Set aesthetics to fixed value
v + stat_contour(colour="red")
v + stat_contour(size=2, linetype=4)
# Try different geoms
v + stat_contour(geom="polygon", aes(fill=..level..))
v + geom_tile(aes(fill=z)) + stat_contour()
# Use qplot instead
qplot(x, y, z, data=volcano3d, geom="contour")
qplot(x, y, z, data=volcano3d, stat="contour", geom="path")
## End(Not run)