# NOT RUN {
ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
geom_bar(position = "dodge2")
# By default, dodging with `position_dodge2()` preserves the width of each
# element. You can choose to preserve the total width with:
ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
geom_bar(position = position_dodge(preserve = "total"))
# }
# NOT RUN {
ggplot(diamonds, aes(price, fill = cut)) +
geom_histogram(position="dodge2")
# see ?geom_bar for more examples
# In this case a frequency polygon is probably a better choice
ggplot(diamonds, aes(price, colour = cut)) +
geom_freqpoly()
# }
# NOT RUN {
# Dodging with various widths -------------------------------------
# To dodge items with different widths, you need to be explicit
df <- data.frame(x = c("a","a","b","b"), y = 2:5, g = rep(1:2, 2))
p <- ggplot(df, aes(x, y, group = g)) +
geom_col(position = "dodge", fill = "grey50", colour = "black")
p
# A line range has no width:
p + geom_linerange(aes(ymin = y - 1, ymax = y + 1), position = "dodge")
# So you must explicitly specify the width
p + geom_linerange(
aes(ymin = y - 1, ymax = y + 1),
position = position_dodge(width = 0.9)
)
# The same principle applies to error bars, which are usually
# narrower than the bars
p + geom_errorbar(
aes(ymin = y - 1, ymax = y + 1),
width = 0.2,
position = "dodge"
)
p + geom_errorbar(
aes(ymin = y - 1, ymax = y + 1),
width = 0.2,
position = position_dodge(width = 0.9)
)
# Box plots use position_dodge2 by default, and bars can use it too
ggplot(data = iris, aes(Species, Sepal.Length)) +
geom_boxplot(aes(colour = Sepal.Width < 3.2))
ggplot(data = iris, aes(Species, Sepal.Length)) +
geom_boxplot(aes(colour = Sepal.Width < 3.2), varwidth = TRUE)
ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
geom_bar(position = position_dodge2(preserve = "single"))
ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
geom_bar(position = position_dodge2(preserve = "total"))
# }
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