Description
scale_x_continuous()
and scale_y_continuous()
are the defaultscales for continuous x and y aesthetics. There are three variantsthat set the transform
argument for commonly used transformations:scale_*_log10()
, scale_*_sqrt()
and scale_*_reverse()
.
Usage
scale_x_continuous( name = waiver(), breaks = waiver(), minor_breaks = waiver(), n.breaks = NULL, labels = waiver(), limits = NULL, expand = waiver(), oob = censor, na.value = NA_real_, transform = "identity", trans = deprecated(), guide = waiver(), position = "bottom", sec.axis = waiver())scale_y_continuous( name = waiver(), breaks = waiver(), minor_breaks = waiver(), n.breaks = NULL, labels = waiver(), limits = NULL, expand = waiver(), oob = censor, na.value = NA_real_, transform = "identity", trans = deprecated(), guide = waiver(), position = "left", sec.axis = waiver())
scale_x_log10(...)
scale_y_log10(...)
scale_x_reverse(...)
scale_y_reverse(...)
scale_x_sqrt(...)
scale_y_sqrt(...)
Arguments
The name of the scale. Used as the axis or legend title. If One of: A numeric vector of positions A function that takes the limits as input and returns breaksas output (e.g., a function returned by One of: A numeric vector of positions A function that given the limits returns a vector of minor breaks. Alsoaccepts rlang lambda function notation. Whenthe function has two arguments, it will be given the limits and majorbreaks. An integer guiding the number of major breaks. The algorithmmay choose a slightly different number to ensure nice break labels. Willonly have an effect if One of: A character vector giving labels (must be same length as An expression vector (must be the same length as breaks). See ?plotmath for details. A function that takes the breaks as input and returns labelsas output. Also accepts rlang lambda functionnotation. One of: A numeric vector of length two providing limits of the scale.Use A function that accepts the existing (automatic) limits and returnsnew limits. Also accepts rlang lambda functionnotation.Note that setting limits on positional scales will remove data outside of the limits.If the purpose is to zoom, use the limit argument in the coordinate system(see For position scales, a vector of range expansion constants used to add somepadding around the data to ensure that they are placed some distanceaway from the axes. Use the convenience function One of: Function that handles limits outside of the scale limits(out of bounds). Also accepts rlang lambdafunction notation. The default ( Missing values will be replaced with this value. For continuous scales, the name of a transformation objector the object itself. Built-in transformations include "asn", "atanh","boxcox", "date", "exp", "hms", "identity", "log", "log10", "log1p", "log2","logit", "modulus", "probability", "probit", "pseudo_log", "reciprocal","reverse", "sqrt" and "time". A transformation object bundles together a transform, its inverse,and methods for generating breaks and labels. Transformation objectsare defined in the scales package, and are called A function used to create a guide or its name. See For position scales, The position of the axis. Other arguments passed on to waiver()
, the default, the name of the scale is taken from the firstmapping used for that aesthetic. If NULL
, the legend title will beomitted.NULL
for no breakswaiver()
for the default breaks computed by thetransformation objectscales::extended_breaks()
).Also accepts rlang lambda function notation.NULL
for no minor breakswaiver()
for the default breaks (one minor break betweeneach major break)breaks = waiver()
. Use NULL
to use the defaultnumber of breaks given by the transformation.NULL
for no labelswaiver()
for the default labels computed by thetransformation objectbreaks
)NULL
to use the default scale rangeNA
to refer to the existing minimum or maximumcoord_cartesian()
).expansion()
to generate the values for the expand
argument. The defaults are toexpand the scale by 5% on each side for continuous variables, and by0.6 units on each side for discrete variables.scales::censor()
) replaces out ofbounds values with NA
.scales::squish()
for squishing out of bounds values into range.scales::squish_infinite()
for squishing infinite values into range.transform_<name>
. Iftransformations require arguments, you can call them from the scalespackage, e.g. scales::transform_boxcox(p = 2)
.You can create your own transformation with scales::new_transform()
.guides()
for more information.left
or right
for y axes, top
or bottom
for x axes.sec_axis()
is used to specify a secondary axis.scale_(x|y)_continuous()
Details
For simple manipulation of labels and limits, you may wish to uselabs()
and lims()
instead.
See Also
The position documentation.
Other position scales: scale_x_binned()
,scale_x_date()
,scale_x_discrete()
Examples
p1 <- ggplot(mpg, aes(displ, hwy)) + geom_point()p1# Manipulating the default position scales lets you:# * change the axis labelsp1 + scale_x_continuous("Engine displacement (L)") + scale_y_continuous("Highway MPG")# You can also use the short-cut labs().# Use NULL to suppress axis labelsp1 + labs(x = NULL, y = NULL)# * modify the axis limitsp1 + 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 appearp1 + scale_x_continuous(breaks = c(2, 4, 6))# * choose your own labelsp1 + 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:set.seed(1)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::label_percent())p2 + scale_y_continuous(labels = scales::label_dollar())p2 + scale_x_continuous(labels = scales::label_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(transform = scales::transform_reciprocal())# You can also create your own. See ?scales::new_transform
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