`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`

.

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(...)

- 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:

`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
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)`

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.`boxcox_trans`

. You can create your own transformation with`trans_new`

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

- sec.axis
specifify a secondary axis

- ...
Other arguments passed on to

`scale_(x|y)_continuous`

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

and `lims()`

instead.

`sec_axis`

for how to specify secondary axes

Other position scales: `scale_x_date`

,
`scale_x_discrete`

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