plotColorClusters {recolorize} | R Documentation |
Plot color clusters in a color space
Description
Plots color clusters in a 3D color space.
Usage
plotColorClusters(
centers,
sizes,
scaling = 10,
plus = 0,
color_space = "sRGB",
phi = 35,
theta = 60,
alpha = 0.5,
...
)
Arguments
centers |
A matrix of color centers, with rows for centers and columns as channels. These are interpreted as coordinates. |
sizes |
A vector of color sizes. Can be relative or absolute; it's going to be scaled for plotting. |
scaling |
Factor for scaling the cluster sizes. If your clusters are way too big or small on the plot, tinker with this. |
plus |
Value to add to each scaled cluster size; can be helpful for seeing small or empty bins when they are swamped by larger clusters. |
color_space |
The color space of the centers. Important for setting the
axis ranges and for converting the colors into hex codes for plotting. The
function assumes that the |
phi , theta |
Viewing angles (in degrees). |
alpha |
Transparency (0-1 range). |
... |
Further parameters passed to plot3D::scatter3D. |
Details
This function does very little on your behalf (e.g. labeling the
axes, setting the axis ranges, trying to find nice scaling parameters,
etc). You can pass those parameters using the ...
function to
plot3D::scatter3D, which is probably a good idea.
Value
Nothing; plots a 3D scatterplot of color clusters, with corresponding colors and sizes.
Examples
corbetti <- system.file("extdata/corbetti.png", package = "recolorize")
init_fit <- recolorize(corbetti,
color_space = "Lab",
method = "k",
n = 30)
# we still have to convert to Lab color space first, since the centers are always RGB:
centers <- grDevices::convertColor(init_fit$centers, "sRGB", "Lab")
plotColorClusters(centers, init_fit$sizes,
scaling = 25,
color_space = "Lab",
xlab = "Luminance",
ylab = "a (red-green)",
zlab = "b (blue-yellow)",
cex.lab = 0.5)