plotClustersMulti {colordistance}

Plot several different cluster sets together

Description

Plots cluster sets from several different dataframes on a single plot for easy comparison.

Usage

plotClustersMulti(
  cluster.list,
  color.space = "rgb",
  p = "all",
  title = "",
  ref.white,
  to = "sRGB"
)

Arguments

cluster.list

A list of identically sized dataframes with 4 columns each as output by extractClusters, getLabHistList, or getHistList.

color.space

The color space ("rgb", "hsv", or "lab") in which to plot pixels.

p

Numeric vector of indices for which elements to plot; otherwise all of the cluster sets provided will be plotted together.

title

Optional title for the plot.

ref.white

The reference white passed to convertColorSpace; must be specified if using color.space = "lab".

to

Display color space of image if clustering in CIE Lab space, probably either "sRGB" or "Apple RGB", depending on your computer.

Value

A single plot_ly plot of every cluster in a list of cluster sets. Each cluster is colored by cluster color, proportional to cluster size, and labeled according to the image from which it originated.

Note

Each cluster plotted is colored according to its actual color, and labeled according to the image from which it originated.

Examples

## Not run: 
# Takes >10 seconds
cluster.list <- colordistance::getHistList(dir(system.file("extdata",
"Heliconius/", package="colordistance"), full.names=TRUE), plotting=FALSE,
lower=rep(0.8, 3), upper=rep(1, 3))

colordistance::plotClustersMulti(cluster.list, p=c(1:4), title="Orange and
black Heliconius")

colordistance::plotClustersMulti(cluster.list, p=c(5:8), title="Black, yellow,
and red Heliconius")

clusterListHSV <- colordistance::getHistList(dir(system.file("extdata",
"Heliconius/", package="colordistance"), full.names=TRUE), hsv=TRUE,
plotting=FALSE, lower=rep(0.8, 3), upper=rep(1, 3))

colordistance::plotClustersMulti(clusterListHSV, p=c(1:3, 7:8), hsv=TRUE)

## End(Not run)