View source: R/scale_sequential.R
scale_colour_continuous_sequential | R Documentation |
Continuous ggplot2 color scales using the color palettes generated by sequential_hcl
.
scale_colour_continuous_sequential(
palette = NULL,
c1 = NULL,
c2 = NULL,
cmax = NULL,
l1 = NULL,
l2 = NULL,
h1 = NULL,
h2 = NULL,
p1 = NULL,
p2 = NULL,
alpha = 1,
rev = TRUE,
begin = 0,
end = 1,
na.value = "grey50",
guide = "colourbar",
aesthetics = "colour",
n_interp = 11,
...
)
scale_color_continuous_sequential(
palette = NULL,
c1 = NULL,
c2 = NULL,
cmax = NULL,
l1 = NULL,
l2 = NULL,
h1 = NULL,
h2 = NULL,
p1 = NULL,
p2 = NULL,
alpha = 1,
rev = TRUE,
begin = 0,
end = 1,
na.value = "grey50",
guide = "colourbar",
aesthetics = "colour",
n_interp = 11,
...
)
scale_fill_continuous_sequential(..., aesthetics = "fill")
palette |
The name of the palette to be used. Run |
c1 |
Beginning chroma value. |
c2 |
Ending chroma value. |
cmax |
Maximum chroma value. |
l1 |
Beginning luminance value. |
l2 |
Ending luminance value. |
h1 |
Beginning hue value. |
h2 |
Ending hue value. If set to |
p1 |
Control parameter determining how chroma should vary (1 = linear, 2 = quadratic, etc.). |
p2 |
Control parameter determining how luminance should vary (1 = linear, 2 = quadratic, etc.). |
alpha |
Numeric vector of values in the range |
rev |
If |
begin |
Number in the range of |
end |
Number in the range of |
na.value |
Color to be used for missing data points. |
guide |
Type of legend. Use |
aesthetics |
The ggplot2 aesthetics to which this scale should be applied. |
n_interp |
Number of discrete colors that should be used to interpolate the continuous color scale. 11 will work fine in most cases. |
... |
common continuous scale parameters: 'name', 'breaks', 'labels', and 'limits'. See
|
If both a valid palette name and palette parameters are provided then the provided palette parameters overwrite the parameters in the named palette. This enables easy customization of named palettes.
Compared to sequential_hcl
the ordering of the colors in the sequential ggplot2 scale
are reversed by default (i.e., rev = TRUE
) to be more consistent with ggplot2's own scales such as
scale_color_brewer
. For most named palettes this leads to darker and more
colorful colors for larger values on the scale. This is typically the better default on light/white
backgrounds.
library("ggplot2")
# base plot
gg <- ggplot(iris, aes(x = Species, y = Sepal.Width, color = Sepal.Length)) +
geom_jitter(width = 0.3) + theme_minimal()
# default settings
gg + scale_color_continuous_sequential()
# switch palette and overwrite some default values
gg + scale_color_continuous_sequential(palette = "Reds", l1 = 20, c2 = 70, p1 = 1)
# select a range out of the entire palette
gg + scale_color_continuous_sequential(palette = "Heat", begin = 0.2, end = 0.8)
# volcano plot
df <- data.frame(height = c(volcano), x = c(row(volcano)), y = c(col(volcano)))
ggplot(df, aes(x, y, fill = height)) +
geom_raster() + scale_fill_continuous_sequential(palette = "Terrain", rev = FALSE) +
coord_fixed(expand = FALSE)
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