Function reference • scales

Axis labels Use these functions with the `labels` argument to ggplot2 scales to control the formatting of axis labels and legend keys.
`label_bytes()`	Label bytes (1 kb, 2 MB, etc)
`label_date()` `label_date_short()` `label_time()` `date_format()` `time_format()`	Label date/times
`label_dollar()` `dollar_format()` `dollar()`	Label currencies ($100, $2.50, etc)
`label_number()` `label_comma()` `comma()` `number_format()` `comma_format()`	Label numbers in decimal format (e.g. 0.12, 1,234)
`label_number_auto()`	Label numbers, avoiding scientific notation where possible
`label_number_si()`	Label numbers with SI prefixes (2k, 1M, 5T etc)
`label_ordinal()` `ordinal_english()` `ordinal_french()` `ordinal_spanish()` `ordinal_format()` `ordinal()`	Label ordinal numbers (1st, 2nd, 3rd, etc)
`label_parse()` `label_math()` `parse_format()` `math_format()`	Label with mathematical annotations
`label_percent()` `percent_format()` `percent()`	Label percentages (2.5%, 50%, etc)
`label_pvalue()` `pvalue_format()` `pvalue()`	Label p-values (e.g. <0.001, 0.25, p >= 0.99)
`label_scientific()` `scientific_format()` `scientific()`	Label numbers with scientific notation (e.g. 1e05, 1.5e-02)
`label_wrap()` `wrap_format()`	Label strings by wrapping across multiple lines
Axis breaks Use these functions with the `breaks` argument to ggplot2 scales to control the position of axis breaks and values of legend keys.
`breaks_extended()`	Automatic breaks for numeric axes
`breaks_log()`	Breaks for log axes
`breaks_pretty()`	Pretty breaks for date/times
`breaks_width()`	Equally spaced breaks
`minor_breaks_width()` `minor_breaks_n()`	Minor breaks
Bounds: ranges & rescaling Functions for rescaling data and adjusting scale ranges.
`rescale()`	Rescale continuous vector to have specified minimum and maximum
`rescale_max()`	Rescale numeric vector to have specified maximum
`rescale_mid()`	Rescale vector to have specified minimum, midpoint, and maximum
`rescale_none()`	Don't perform rescaling
`rescale_pal()`	Rescale palette (continuous)
`expand_range()`	Expand a range with a multiplicative or additive constant
`zero_range()`	Determine if range of vector is close to zero, with a specified tolerance
`oob_censor()` `oob_censor_any()` `oob_discard()` `oob_squish()` `oob_squish_any()` `oob_squish_infinite()` `oob_keep()` `censor()` `discard()` `squish()` `squish_infinite()`	Out of bounds handling
Transformations Functions to describe common and custom scale transformations their inverses, and ways of generating breaks and labels.
`asn_trans()`	Arc-sin square root transformation
`atanh_trans()`	Arc-tangent transformation
`boxcox_trans()` `modulus_trans()`	Box-Cox & modulus transformations
`date_trans()`	Transformation for dates (class Date)
`exp_trans()`	Exponential transformation (inverse of log transformation)
`hms_trans()`	Transformation for times (class hms)
`identity_trans()`	Identity transformation (do nothing)
`log_trans()` `log10_trans()` `log2_trans()` `log1p_trans()` `pseudo_log_trans()`	Log transformations
`probability_trans()` `logit_trans()` `probit_trans()`	Probability transformation
`reciprocal_trans()`	Reciprocal transformation
`reverse_trans()`	Reverse transformation
`sqrt_trans()`	Square-root transformation
`time_trans()`	Transformation for date-times (class POSIXt)
`yj_trans()`	Yeo-Johnson transformation
Colour palettes & colour mapping Functions for specifying colour palettes, colour mapping, and various helper functions.
`brewer_pal()`	Colour Brewer palette (discrete)
`dichromat_pal()`	Dichromat (colour-blind) palette (discrete)
`div_gradient_pal()`	Diverging colour gradient (continuous).
`gradient_n_pal()`	Arbitrary colour gradient palette (continuous)
`grey_pal()`	Grey scale palette (discrete)
`hue_pal()`	Hue palette (discrete)
`seq_gradient_pal()`	Sequential colour gradient palette (continuous)
`rescale_pal()`	Rescale palette (continuous)
`viridis_pal()`	Viridis palette
`col2hcl()`	Modify standard R colour in hcl colour space.
`col_numeric()` `col_bin()` `col_quantile()` `col_factor()`	Colour mapping
`colour_ramp()`	Fast colour interpolation
`muted()`	Mute standard colour
`alpha()`	Modify colour transparency
Non-colour palette functions Functions to help scale non-colour aesthetics.
`area_pal()` `abs_area()`	Area palettes (continuous)
`identity_pal()`	Identity palette
`linetype_pal()`	Line type palette (discrete)
`manual_pal()`	Manual palette (discrete)
`rescale_pal()`	Rescale palette (continuous)
`shape_pal()`	Shape palette (discrete)
Creating your own scales and mutable ranges Scales control the details of how data values are translated to visual properties. The following functions help users create (and update) custom scales: pulling together palettes, bounding functions and transformations to provide a complete pathway from raw data to perceptual properties.
`cscale()`	Continuous scale
`dscale()`	Discrete scale
`train_continuous()`	Train (update) a continuous scale
`train_discrete()`	Train (update) a discrete scale
`Range`	Mutable ranges

Reference

Axis labels

Axis breaks

Bounds: ranges & rescaling

Transformations

Colour palettes & colour mapping

Non-colour palette functions

Creating your own scales and mutable ranges