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 the axis or legend title. If


breaks  One of:

minor_breaks  One of:

labels  One of:

limits  A numeric vector of length two providing limits of the scale.
Use 
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 
oob  Function that handles limits outside of the scale limits
(out of bounds). The default replaces out of bounds values with 
na.value  Missing values will be replaced with this value. 
trans  Either the name of a transformation object, or the object itself. Builtin 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, its inverse,
and methods for generating breaks and labels. Transformation objects
are defined in the scales package, and are called 
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 
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 shortcut labs(). # Use NULL to suppress axis labels p1 + labs(x = NULL, y = NULL)#> Warning: Removed 27 rows containing missing values (geom_point).#> Warning: Removed 27 rows containing missing values (geom_point).# * 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)# 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