ggplot2 (version 2.0.0)

scale_continuous: Continuous position scales (x & y).

Description

scale_x_continuous and scale_y_continuous are the key functions. The others, scale_x_log10, scale_y_sqrt etc, are aliases that set the trans argument to commonly used transformations.

Usage

scale_x_continuous(name = waiver(), breaks = waiver(),
  minor_breaks = waiver(), labels = waiver(), limits = NULL,
  expand = waiver(), oob = censor, na.value = NA_real_,
  trans = "identity")
scale_y_continuous(name = waiver(), breaks = waiver(),
  minor_breaks = waiver(), labels = waiver(), limits = NULL,
  expand = waiver(), oob = censor, na.value = NA_real_,
  trans = "identity")
scale_x_log10(...)
scale_y_log10(...)
scale_x_reverse(...)
scale_y_reverse(...)
scale_x_sqrt(...)
scale_y_sqrt(...)

Arguments

name

The name of the scale. Used as axis or legend title. If NULL, the default, the name of the scale is taken from the first mapping used for that aesthetic.

breaks

One of:

• NULLfor no breaks
• waiver()for the default breaks computed by the transformation object
• A numeric vector of positions
• A function that takes the limits as input and returns breaks as

minor_breaks

One of:

• NULLfor no minor breaks
• waiver()for the default breaks (one minor break between each major break)
• A numeric vector of positions
• A function that given the limits returns a vector of mino

labels

One of:

• NULLfor no labels
• waiver()for the default labels computed by the transformation object
• A character vector giving labels (must be same length asbreaks)
• A function that takes

limits

A numeric vector of length two providing limits of the scale. Use NA to refer to the existing minimum or maximum.

expand

A numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes. The defaults are c(0.05, 0) for continuous variables, and c(0, 0.6)<

oob

Function that handles limits outside of the scale limits (out of bounds). The default replaces out of bounds values with NA.

na.value

Missing values will be replaced with this value.

trans

Either the name of a transformation object, or the object itself. Built-in transformations include "asn", "atanh", "boxcox", "exp", "identity", "log", "log10", "log1p", "log2", "logit", "probability", "probit", "reciprocal", "reverse" and "sqrt".

...

Other arguments passed on to scale_(x|y)_continuous

See Also

scale_date for date/time position scales.

Examples

if (require(ggplot2movies)) {
m <- ggplot(subset(movies, votes > 1000), aes(rating, votes)) +
  geom_point(na.rm = TRUE)
m

# Manipulating the default position scales lets you:

#  * change the axis labels
m + scale_y_continuous("number of votes")
m + scale_y_continuous(quote(votes ^ alpha))

#  * modify the axis limits
m + scale_y_continuous(limits = c(0, 5000))
m + scale_y_continuous(limits = c(1000, 10000))
m + scale_x_continuous(limits = c(7, 8))

# you can also use the short hand functions xlim and ylim
m + ylim(0, 5000)
m + ylim(1000, 10000)
m + xlim(7, 8)

#  * choose where the ticks appear
m + scale_x_continuous(breaks = 1:10)
m + scale_x_continuous(breaks = c(1,3,7,9))

#  * manually label the ticks
m + scale_x_continuous(breaks = c(2,5,8), labels = c("two", "five", "eight"))
m + scale_x_continuous(breaks = c(2,5,8), labels = c("horrible", "ok", "awesome"))
m + scale_x_continuous(breaks = c(2,5,8), labels = expression(Alpha, Beta, Omega))

# There are a few built in transformation that you can use:
m + scale_y_log10()
m + scale_y_sqrt()
m + scale_y_reverse()
# You can also create your own and supply them to the trans argument.
# See ?scales::trans_new

# You can control the formatting of the labels with the formatter
# argument.  Some common formats are built into the scales package:
df <- data.frame(
  x = rnorm(10) * 100000,
  y = seq(0, 1, length.out = 10)
)
p <- ggplot(df, aes(x, y)) + geom_point()
p + scale_y_continuous(labels = scales::percent)
p + scale_y_continuous(labels = scales::dollar)
p + scale_x_continuous(labels = scales::comma)

# Other shortcut functions
ggplot(movies, aes(rating, votes)) +
  geom_point() +
  ylim(1e4, 5e4)
#   * axis labels
ggplot(movies, aes(rating, votes)) +
  geom_point() +
  labs(x = "My x axis", y = "My y axis")
#   * log scaling
ggplot(movies, aes(rating, votes)) +
  geom_point() +
  scale_x_log10() +
  scale_y_log10()
}