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GeomTile <- proto(Geom, {
reparameterise <- function(., df, params) {
df$width <- df$width %||% params$width %||% resolution(df$x, FALSE)
df$height <- df$height %||% params$height %||% resolution(df$y, FALSE)
transform(df,
xmin = x - width / 2, xmax = x + width / 2, width = NULL,
ymin = y - height / 2, ymax = y + height / 2, height = NULL
)
}
draw_groups <- function(., data, scales, coordinates, ...) {
# data$colour[is.na(data$colour)] <- data$fill[is.na(data$colour)]
GeomRect$draw_groups (data, scales, coordinates, ...)
}
objname <- "tile"
desc <- "Tile plot as densely as possible, assuming that every tile is the same size. "
details <- "<p>Similar to levelplot and image.</p>"
icon <- function(.) {
rectGrob(c(0.25, 0.25, 0.75, 0.75), c(0.25, 0.75, 0.75, 0.25), width=0.5, height=c(0.67, 0.5, 0.67, 0.5), gp=gpar(col="grey20", fill=c("#804070", "#668040")))
}
default_stat <- function(.) StatIdentity
default_aes <- function(.) aes(fill="grey20", colour=NA, size=0.1, linetype=1)
required_aes <- c("x", "y")
guide_geom <- function(.) "polygon"
examples <- function(.) {
# Generate data
pp <- function (n,r=4) {
x <- seq(-r*pi, r*pi, len=n)
df <- expand.grid(x=x, y=x)
df$r <- sqrt(df$x^2 + df$y^2)
df$z <- cos(df$r^2)*exp(-df$r/6)
df
}
p <- ggplot(pp(20), aes(x=x,y=y))
p + geom_tile() #pretty useless!
# Add aesthetic mappings
p + geom_tile(aes(fill=z))
# Change scale
p + geom_tile(aes(fill=z)) + scale_fill_gradient(low="green", high="red")
# Use qplot instead
qplot(x, y, data=pp(20), geom="tile", fill=z)
qplot(x, y, data=pp(100), geom="tile", fill=z)
# Missing values
p <- ggplot(pp(20)[sample(20*20, size=200),], aes(x=x,y=y,fill=z))
p + geom_tile()
# Input that works with image
image(t(volcano)[ncol(volcano):1,])
ggplot(melt(volcano), aes(x=X1, y=X2, fill=value)) + geom_tile()
# inspired by the image-density plots of Ken Knoblauch
cars <- ggplot(mtcars, aes(y=factor(cyl), x=mpg))
cars + geom_point()
cars + stat_bin(aes(fill=..count..), geom="tile", binwidth=3, position="identity")
cars + stat_bin(aes(fill=..density..), geom="tile", binwidth=3, position="identity")
cars + stat_density(aes(fill=..density..), geom="tile", position="identity")
cars + stat_density(aes(fill=..count..), geom="tile", position="identity")
# Another example with with unequal tile sizes
x.cell.boundary <- c(0, 4, 6, 8, 10, 14)
example <- data.frame(
x = rep(c(2, 5, 7, 9, 12), 2),
y = factor(rep(c(1,2), each=5)),
z = rep(1:5, each=2),
w = rep(diff(x.cell.boundary), 2)
)
qplot(x, y, fill=z, data=example, geom="tile")
qplot(x, y, fill=z, data=example, geom="tile", width=w)
qplot(x, y, fill=factor(z), data=example, geom="tile", width=w)
# You can manually set the colour of the tiles using
# scale_manual
col <- c("darkblue", "blue", "green", "orange", "red")
qplot(x, y, fill=col[z], data=example, geom="tile", width=w, group=1) + scale_fill_identity(labels=letters[1:5], breaks=col)
}
})
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