# scale_continuous

0th

Percentile

##### 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 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 object
• A 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 object
• A 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
##### Details

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

##### Aliases
• scale_x_continuous
• scale_y_continuous
• scale_x_log10
• scale_y_log10
• scale_x_reverse
• scale_y_reverse
• scale_x_sqrt
• scale_y_sqrt
##### Examples
library(ggplot2) 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 2.2.1, License: GPL-2 | file LICENSE

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