Examples for 'ggplot2::scale_x_continuous'

### ** Examples

p1 <- ggplot(mpg, aes(displ, hwy)) +
  geom_point()
p1

# Manipulating the default position scales lets you:
#  * change the axis labels
p1 +
  scale_x_continuous("Engine displacement (L)") +
  scale_y_continuous("Highway MPG")

# You can also use the short-cut labs().
# Use NULL to suppress axis labels
p1 + labs(x = NULL, y = NULL)

#  * modify the axis limits
p1 + scale_x_continuous(limits = c(2, 6))

p1 + scale_x_continuous(limits = c(0, 10))

# you can also use the short hand functions `xlim()` and `ylim()`
p1 + xlim(2, 6)

#  * choose where the ticks appear
p1 + scale_x_continuous(breaks = c(2, 4, 6))

#  * choose your own labels
p1 + scale_x_continuous(
  breaks = c(2, 4, 6),
  label = c("two", "four", "six")
)

# Typically you'll pass a function to the `labels` argument.
# Some common formats are built into the scales package:
df <- data.frame(
  x = rnorm(10) * 100000,
  y = seq(0, 1, length.out = 10)
)
p2 <- ggplot(df, aes(x, y)) + geom_point()
p2 + scale_y_continuous(labels = scales::percent)

p2 + scale_y_continuous(labels = scales::dollar)

p2 + scale_x_continuous(labels = scales::comma)

# You can also override the default linear mapping by using a
# transformation. There are three shortcuts:
p1 + scale_y_log10()

p1 + scale_y_sqrt()

p1 + scale_y_reverse()

# Or you can supply a transformation in the `trans` argument:
p1 + scale_y_continuous(trans = scales::reciprocal_trans())

# You can also create your own. See ?scales::trans_new