View source: R/scale_sequential.R
scale_colour_binned_sequential | R Documentation |
Binned ggplot2 color scales using the color palettes generated by sequential_hcl
.
scale_colour_binned_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 = "coloursteps", aesthetics = "colour", n_interp = 11, ... ) scale_color_binned_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 = "coloursteps", aesthetics = "colour", n_interp = 11, ... ) scale_fill_binned_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 binned color scale. 11 will work fine in most cases. |
... |
common binned 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_fermenter
. 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") # 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_binned_sequential(palette = "Terrain", rev = FALSE) + coord_fixed(expand = FALSE)
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