scale_identity | R Documentation |
Use this set of scales when your data has already been scaled, i.e. it
already represents aesthetic values that ggplot2 can handle directly.
These scales will not produce a legend unless you also supply the breaks
,
labels
, and type of guide
you want.
scale_colour_identity(
name = waiver(),
...,
guide = "none",
aesthetics = "colour"
)
scale_fill_identity(name = waiver(), ..., guide = "none", aesthetics = "fill")
scale_shape_identity(name = waiver(), ..., guide = "none")
scale_linetype_identity(name = waiver(), ..., guide = "none")
scale_linewidth_identity(name = waiver(), ..., guide = "none")
scale_alpha_identity(name = waiver(), ..., guide = "none")
scale_size_identity(name = waiver(), ..., guide = "none")
scale_discrete_identity(aesthetics, name = waiver(), ..., guide = "none")
scale_continuous_identity(aesthetics, name = waiver(), ..., guide = "none")
name |
The name of the scale. Used as the axis or legend title. If
|
... |
Other arguments passed on to |
guide |
Guide to use for this scale. Defaults to |
aesthetics |
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 |
The functions scale_colour_identity()
, scale_fill_identity()
, scale_size_identity()
,
etc. work on the aesthetics specified in the scale name: colour
, fill
, size
,
etc. However, the functions scale_colour_identity()
and scale_fill_identity()
also
have an optional aesthetics
argument that can be used to define both colour
and
fill
aesthetic mappings via a single function call. The functions
scale_discrete_identity()
and scale_continuous_identity()
are generic scales that
can work with any aesthetic or set of aesthetics provided via the aesthetics
argument.
The identity scales section of the online ggplot2 book.
Other shape scales: scale_shape()
, scale_shape_manual()
.
Other linetype scales: scale_linetype()
, scale_linetype_manual()
.
Other alpha scales: scale_alpha()
, scale_alpha_manual()
.
Other size scales: scale_size()
, scale_size_manual()
.
Other colour scales:
scale_alpha()
,
scale_colour_brewer()
,
scale_colour_continuous()
,
scale_colour_gradient()
,
scale_colour_grey()
,
scale_colour_hue()
,
scale_colour_manual()
,
scale_colour_steps()
,
scale_colour_viridis_d()
ggplot(luv_colours, aes(u, v)) +
geom_point(aes(colour = col), size = 3) +
scale_color_identity() +
coord_fixed()
df <- data.frame(
x = 1:4,
y = 1:4,
colour = c("red", "green", "blue", "yellow")
)
ggplot(df, aes(x, y)) + geom_tile(aes(fill = colour))
ggplot(df, aes(x, y)) +
geom_tile(aes(fill = colour)) +
scale_fill_identity()
# To get a legend guide, specify guide = "legend"
ggplot(df, aes(x, y)) +
geom_tile(aes(fill = colour)) +
scale_fill_identity(guide = "legend")
# But you'll typically also need to supply breaks and labels:
ggplot(df, aes(x, y)) +
geom_tile(aes(fill = colour)) +
scale_fill_identity("trt", labels = letters[1:4], breaks = df$colour,
guide = "legend")
# cyl scaled to appropriate size
ggplot(mtcars, aes(mpg, wt)) +
geom_point(aes(size = cyl))
# cyl used as point size
ggplot(mtcars, aes(mpg, wt)) +
geom_point(aes(size = cyl)) +
scale_size_identity()
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