data(singer)
p11 <- histogram( ~ height | voice.part, data = singer, xlab="Height")
p12 <- densityplot( ~ height | voice.part, data = singer, xlab = "Height")
p2 <- histogram( ~ height, data = singer, xlab = "Height")
data(sunspot)
p3 <- xyplot(sunspot~1:37, aspect="xy", type = "l")
## simple positioning by split
print.trellis(p11, split=c(1,1,1,2), more=TRUE)
print.trellis(p2, split=c(1,2,1,2))
## Combining split and position:
print.trellis(p11, position = c(0,0,.75,.75), split=c(1,1,1,2), more=TRUE)
print.trellis(p12, position = c(0,0,.75,.75), split=c(1,2,1,2), more=TRUE)
print.trellis(p3, position = c(.5,.75,1,1), more=FALSE)
## Embedding lattice plots inside a grid viewport
## Note: this is lattice specific, won't work in S-Plus
data(iris)
cur.settings <- trellis.par.get()
grid.newpage()
lset(list(background = list(col = "transparent")))
grid.rect(gp = gpar(fill = "#fffff0"))
push.viewport(viewport(x = .6, y = .8, h = .25, w = .8, angle = 5))
print(densityplot(~ Petal.Length | Species, iris, plot.p = FALSE, col = 4,
layout = c(3, 1)), newpage = FALSE)
pop.viewport()
push.viewport(viewport(x = .6, y = .6, h = .25, w = .75, angle = 25))
print(densityplot(~ Petal.Width | Species, iris, plot.p = FALSE, col = 3,
layout = c(3, 1)), newpage = FALSE)
pop.viewport()
push.viewport(viewport(x = .6, y = .3, h = .25, w = .7, angle = -5))
print(densityplot(~ Sepal.Length | Species, iris, plot.p = FALSE, col = 2,
layout = c(3, 1)), newpage = FALSE)
pop.viewport()
push.viewport(viewport(x = .15, y = .5, h = .8, w = .25, angle = 10))
lset(list(background = list(col = "#f0ffff")))
print(densityplot(~ Sepal.Width | Species, iris, plot.p = FALSE, col = 1,
layout = c(1, 3)), newpage = FALSE)
grid.rect()
pop.viewport()
grid.text(lab = "Densities by Species in the Iris Data",
vp = viewport(x = .6, y = .1))
lset(cur.settings)
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