Extract cluster data from a model into a list of data frames.
This function provides a generic mechanism to extract relevant plotting data, typically line segments and labels, from a variety of cluster models.
Extract line segment and label data from stats::dendrogram() or stats::hclust() object. The resulting object is a list of data frames containing line segment data and label data.
dendro_data(model, ...)
## Default S3 method:
dendro_data(model, ...)
## S3 method for class 'dendrogram'
dendro_data(model, type = c("rectangle", "triangle"), ...)
## S3 method for class 'hclust'
dendro_data(model, type = c("rectangle", "triangle"), ...)
## S3 method for class 'twins'
dendro_data(model, type = c("rectangle", "triangle"), ...)model |
object of type |
... |
ignored |
type |
The type of plot, indicating the shape of the dendrogram. "rectangle" will draw rectangular lines, while "triangle" will draw triangular lines. |
For stats::dendrogram() and tree::tree() models, extracts line segment
data and labels.
a list of data frames that contain the data appropriate to each cluster model
A list with components:
segments |
Line segment data |
labels |
Label data |
There are several implementations for specific cluster algorithms:
To extract the data for line segments, labels or leaf labels use:
segment(): the
line segment data
label(): the text for each end segment
leaf_label(): the leaf labels of a tree diagram
Other dendro_data methods:
dendro_data.rpart(),
dendro_data.tree(),
dendrogram_data(),
rpart_labels()
Other dendrogram/hclust functions:
dendrogram_data()
require(ggplot2)
### Demonstrate dendro_data.dendrogram
model <- hclust(dist(USArrests), "ave")
dendro <- as.dendrogram(model)
# Rectangular lines
ddata <- dendro_data(dendro, type = "rectangle")
ggplot(segment(ddata)) +
geom_segment(aes(x = x, y = y, xend = xend, yend = yend)) +
coord_flip() +
scale_y_reverse(expand = c(0.2, 0)) +
theme_dendro()
# Triangular lines
ddata <- dendro_data(dendro, type = "triangle")
ggplot(segment(ddata)) +
geom_segment(aes(x = x, y = y, xend = xend, yend = yend)) +
theme_dendro()
# Demonstrate dendro_data.hclust
require(ggplot2)
hc <- hclust(dist(USArrests), "ave")
# Rectangular lines
hcdata <- dendro_data(hc, type = "rectangle")
ggplot(segment(hcdata)) +
geom_segment(aes(x = x, y = y, xend = xend, yend = yend)) +
coord_flip() +
scale_y_reverse(expand = c(0.2, 0)) +
theme_dendro()
# Triangular lines
hcdata <- dendro_data(hc, type = "triangle")
ggplot(segment(hcdata)) +
geom_segment(aes(x = x, y = y, xend = xend, yend = yend)) +
theme_dendro()
### Demonstrate the twins of agnes and diana, from package cluster
if (require(cluster)) {
model <- agnes(votes.repub, metric = "manhattan", stand = TRUE)
dg <- as.dendrogram(model)
ggdendrogram(dg)
}
if (require(cluster)) {
model <- diana(votes.repub, metric = "manhattan", stand = TRUE)
dg <- as.dendrogram(model)
ggdendrogram(dg)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.