# scale_continuous

##### Position scales for continuous data (x & y)

`scale_x_continuous`

and `scale_y_continuous`

are the default
scales for continuous x and y aesthetics. There are three variants
that set the `trans`

argument for commonly used transformations:
`scale_*_log10`

, `scale_*_sqrt`

and `scale_*_reverse`

.

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

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

`waiver()`

, the default, the name of the scale is taken from the first mapping used for that aesthetic. If`NULL`

, the legend title will be omitted.- breaks
One of:

`NULL`

for no breaks`waiver()`

for the default breaks computed by the transformation objectA numeric vector of positions

A function that takes the limits as input and returns breaks as output

- minor_breaks
One of:

`NULL`

for 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 minor breaks.

- labels
One of:

`NULL`

for no labels`waiver()`

for the default labels computed by the transformation objectA character vector giving labels (must be same length as

`breaks`

)A function that takes the breaks as input and returns labels as output

- limits
A numeric vector of length two providing limits of the scale. Use

`NA`

to refer to the existing minimum or maximum.- expand
Vector of range expansion constants used to add some padding around the data, to ensure that they are placed some distance away from the axes. Use the convenience function

`expand_scale()`

to generate the values for the`expand`

argument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.- 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".

A transformation object bundles together a transform, it's inverse, and methods for generating breaks and labels. Transformation objects are defined in the scales package, and are called

`name_trans`

, e.g.`scales::boxcox_trans()`

. You can create your own transformation with`scales::trans_new()`

.- position
The position of the axis. "left" or "right" for vertical scales, "top" or "bottom" for horizontal scales

- sec.axis
specify a secondary axis

- ...
Other arguments passed on to

`scale_(x|y)_continuous`

##### Details

For simple manipulation of labels and limits, you may wish to use
`labs()`

and `lims()`

instead.

##### See Also

`sec_axis()`

for how to specify secondary axes

Other position scales: `scale_x_date`

,
`scale_x_discrete`

##### Examples

```
# NOT RUN {
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))
# * add what labels they have
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
# }
```

*Documentation reproduced from package ggplot2, version 3.0.0, License: GPL-2 | file LICENSE*