R ggplot2 scale_continuous 连续数据的位置比例(x 和 y)

scale_x_continuous(
  name = waiver(),
  breaks = waiver(),
  minor_breaks = waiver(),
  n.breaks = NULL,
  labels = waiver(),
  limits = NULL,
  expand = waiver(),
  oob = censor,
  na.value = NA_real_,
  trans = "identity",
  guide = waiver(),
  position = "bottom",
  sec.axis = waiver()
)

scale_y_continuous(
  name = waiver(),
  breaks = waiver(),
  minor_breaks = waiver(),
  n.breaks = NULL,
  labels = waiver(),
  limits = NULL,
  expand = waiver(),
  oob = censor,
  na.value = NA_real_,
  trans = "identity",
  guide = waiver(),
  position = "left",
  sec.axis = waiver()
)

scale_x_log10(...)

scale_y_log10(...)

scale_x_reverse(...)

scale_y_reverse(...)

scale_x_sqrt(...)

scale_y_sqrt(...)

其他位置刻度：scale_x_binned()、scale_x_date()、scale_x_discrete()

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))
#> Warning: Removed 27 rows containing missing values (`geom_point()`).

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


# you can also use the short hand functions `xlim()` and `ylim()`
p1 + xlim(2, 6)
#> Warning: Removed 27 rows containing missing values (`geom_point()`).


#  * 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:
set.seed(1)
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