library(lattice)
data(mtcars)
# Create first plot and assign it to variable
p1 = xyplot(mpg ~ wt, data = mtcars,
xlab = 'Car weight', ylab = 'Mileage')
# Create second plot and assign it to variable
p2 = xyplot(mpg ~ wt, group= factor(cyl), data = mtcars,
xlab = 'Car weight', ylab = '',
type=c('p', 'smooth'))
# print calls print.lattice, which takes a position
# argument.
print(p1, position = c(0, 0, 0.5, 1), more = TRUE)
print(p2, position = c(0.5, 0, 1, 1))
require(ggplot2)
# library(esquisse)
# esquisser(mtcars)
ggplot(mtcars) +
aes(x = mpg) +
geom_histogram(bins = 30L) +
facet_wrap(vars(gear)) + theme(panel.grid.major = element_line(colour = "gray95"),
panel.background = element_rect(fill = "gray81"),
plot.background = element_rect(fill = "antiquewhite",
colour = "aliceblue", linetype = "solid")) +labs(title = "titel", subtitle = "sub hallo",
caption = "caption hallo")
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