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_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(...)
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.
NULL for no breaks
waiver() for the default breaks computed by the
A numeric vector of positions
A function that takes the limits as input and returns breaks as output
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.
NULL for no labels
waiver() for the default labels computed by the
A character vector giving labels (must be same length as
A function that takes the breaks as input and returns labels as output
A numeric vector of length two providing limits of the scale.
NA to refer to the existing minimum or maximum.
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
Function that handles limits outside of the scale limits (out of bounds). The default replaces out of bounds values with NA.
Missing values will be replaced with this value.
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
boxcox_trans. You can create your own
The position of the axis. "left" or "right" for vertical scales, "top" or "bottom" for horizontal scales
specifify a secondary axis
Other arguments passed on to
sec_axis for how to specify secondary axes
# 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))# * 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