| ggtile {ggplot} | R Documentation |
Add tiles to a plot
ggtile(plot = .PLOT, aesthetics=list(), ..., data=NULL)
plot |
the plot object to modify |
aesthetics |
named list of aesthetic mappings, see details for more information |
... |
other options, see details for more information |
data |
data source, if not specified the plot default will be used |
The tile grob will tile the plot surface as densly as possible, assuming
that every tile is the same size. It is similar to levelplot
or image.
Aesthetic mappings that this grob function understands:
x:x position (required)
y:y position (required)
width:width of the rectangle
height:height of the rectangle
fill:fill colour (see sccolour)
These can be specified in the plot defaults (see ggplot) or
in the aesthetics argument. If you want to modify the position
of the points or any axis options, you will need to add a position scale to
the plot. These functions start with ps, eg.
pscontinuous or pscategorical
Other options:
Hadley Wickham <h.wickham@gmail.com>
pp <- function (n,r=4) {
x <- seq(-r*pi, r*pi, len=n)
df <- expand.grid(x=x, y=x)
df$r <- sqrt(df$x^2 + df$y^2)
df$z <- cos(df$r^2)*exp(-df$r/6)
df
}
p <- ggplot(pp(20), aes=list(x=x,y=y))
ggtile(p) #pretty useless!
ggtile(p, list(fill=z))
ggtile(p, list(height=abs(z), width=abs(z)))
ggtile(ggplot(pp(100), aes=list(x=x,y=y,fill=z)))
ggtile(ggplot(pp(100, r=2), aes=list(x=x,y=y,fill=z)))
p <- ggplot(pp(20)[sample(20*20, size=200),], aes=list(x=x,y=y,fill=z))
ggtile(p)