stat_contour {ggplot2} | R Documentation |
Calculate contours of 3d data.
stat_contour(mapping = NULL, data = NULL, geom = "path", position = "identity", na.rm = FALSE, ...)
na.rm |
If |
mapping |
The aesthetic mapping, usually constructed
with |
data |
A layer specific dataset - only needed if you want to override the plot defaults. |
geom |
The geometric object to use display the data |
position |
The position adjustment to use for overlappling points on this layer |
... |
other arguments passed on to
|
A data frame with additional column:
level |
height of contour |
stat_contour
understands the following aesthetics (required aesthetics are in bold):
x
y
z
order
# Generate data library(reshape2) # for melt volcano3d <- melt(volcano) names(volcano3d) <- c("x", "y", "z") # Basic plot v <- ggplot(volcano3d, aes(x, y, z = z)) v + stat_contour() # Setting bins creates evenly spaced contours in the range of the data v + stat_contour(bins = 2) v + stat_contour(bins = 10) # Setting binwidth does the same thing, parameterised by the distance # between contours v + stat_contour(binwidth = 2) v + stat_contour(binwidth = 5) v + stat_contour(binwidth = 10) v + stat_contour(binwidth = 2, size = 0.5, colour = "grey50") + stat_contour(binwidth = 10, size = 1) # 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") # 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 = z, data = volcano3d, geom = "contour") qplot(x, y, z = z, data = volcano3d, stat = "contour", geom = "path")