`scale_*_steps`

creates a two colour binned gradient (low-high),
`scale_*_steps2`

creates a diverging binned colour gradient (low-mid-high),
and `scale_*_stepsn`

creates a n-colour binned gradient. These scales are
binned variants of the gradient scale family and
works in the same way.

```
scale_colour_steps(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)
```scale_colour_steps2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)

scale_colour_stepsn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour",
colors
)

scale_fill_steps(
...,
low = "#132B43",
high = "#56B1F7",
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill"
)

scale_fill_steps2(
...,
low = muted("red"),
mid = "white",
high = muted("blue"),
midpoint = 0,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill"
)

scale_fill_stepsn(
...,
colours,
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill",
colors
)

- ...
Arguments passed on to

`binned_scale`

`n.breaks`

The number of break points to create if breaks are not given directly.

`nice.breaks`

Logical. Should breaks be attempted placed at nice values instead of exactly evenly spaced between the limits. If

`TRUE`

(default) the scale will ask the transformation object to create breaks, and this may result in a different number of breaks than requested. Ignored if breaks are given explicitly.`right`

Should values on the border between bins be part of the right (upper) bin?

`show.limits`

should the limits of the scale appear as ticks

`name`

The name of the scale. Used as the axis or legend title. If

`waiver()`

, the default, the name of the scale is taken from the first mapping used for that aesthetic. If`NULL`

, the legend title will be omitted.`breaks`

One of:

`NULL`

for no breaks`waiver()`

for the default breaks computed by the transformation objectA numeric vector of positions

A function that takes the limits as input and returns breaks as output (e.g., a function returned by

`scales::extended_breaks()`

). Also accepts rlang lambda function notation.

`labels`

One of:

`NULL`

for no labels`waiver()`

for the default labels computed by the transformation objectA character vector giving labels (must be same length as

`breaks`

)A function that takes the breaks as input and returns labels as output. Also accepts rlang lambda function notation.

`limits`

One of:

`NULL`

to use the default scale rangeA numeric vector of length two providing limits of the scale. Use

`NA`

to refer to the existing minimum or maximumA function that accepts the existing (automatic) limits and returns new limits. Also accepts rlang lambda function notation. 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`coord_cartesian()`

).

`oob`

One of:

Function that handles limits outside of the scale limits (out of bounds). Also accepts rlang lambda function notation.

The default (

`scales::censor()`

) replaces out of bounds values with`NA`

.`scales::squish()`

for squishing out of bounds values into range.`scales::squish_infinite()`

for squishing infinite values into range.

`expand`

For position scales, a 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

`expansion()`

to generate the values for the`expand`

argument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.`trans`

For continuous scales, the name of a transformation object or 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 objects are defined in the scales package, and are called

`<name>_trans`

(e.g.,`scales::boxcox_trans()`

). You can create your own transformation with`scales::trans_new()`

.`position`

For position scales, The position of the axis.

`left`

or`right`

for y axes,`top`

or`bottom`

for x axes.`super`

The super class to use for the constructed scale

Colours for low and high ends of the gradient.

Colours for low and high ends of the gradient.

colour space in which to calculate gradient. Must be "Lab" - other values are deprecated.

Colour to use for missing values

Type of legend. Use `"colourbar"`

for continuous
colour bar, or `"legend"`

for discrete colour legend.

Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful, for
example, to apply colour settings to the `colour`

and `fill`

aesthetics at the
same time, via `aesthetics = c("colour", "fill")`

.

colour for mid point

The midpoint (in data value) of the diverging scale. Defaults to 0.

Vector of colours to use for n-colour gradient.

if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
`colours`

vector. See `rescale()`

for a convenience function
to map an arbitrary range to between 0 and 1.

Vector of colours to use for n-colour gradient.

Default colours are generated with munsell and
`mnsl(c("2.5PB 2/4", "2.5PB 7/10"))`

. Generally, for continuous
colour scales you want to keep hue constant, but vary chroma and
luminance. The munsell package makes this easy to do using the
Munsell colour system.

`scales::seq_gradient_pal()`

for details on underlying
palette, `scale_colour_gradient()`

for continuous scales without binning.

Other colour scales:
`scale_alpha()`

,
`scale_colour_brewer()`

,
`scale_colour_continuous()`

,
`scale_colour_gradient()`

,
`scale_colour_grey()`

,
`scale_colour_hue()`

,
`scale_colour_viridis_d()`

```
df <- data.frame(
x = runif(100),
y = runif(100),
z1 = rnorm(100)
)
# Use scale_colour_steps for a standard binned gradient
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_steps()
# Get a divergent binned scale with the *2 variant
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_steps2()
# Define your own colour ramp to extract binned colours from
ggplot(df, aes(x, y)) +
geom_point(aes(colour = z1)) +
scale_colour_stepsn(colours = terrain.colors(10))
```

Run the code above in your browser using DataLab