Description Usage Arguments Value Examples

`sort_average`

sorts a dendrogram object based on
the average distance of its subtrees, recursively.
The tighter cluster, in other words the cluster with smaller
average distance, is placed on the left side of branch.
When a leaf merge with a cluster, the leaf is placed on the
right side.

1 | ```
sort_average(d)
``` |

`d` |
A dendrogram object. |

output A sorted dendrogram object.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ```
#generate sample data
set.seed(1234); par(mar=c(0,0,0,0))
x <- rnorm(10, mean=rep(1:5, each=2), sd=0.4)
y <- rnorm(10, mean=rep(c(1,2), each=5), sd=0.4)
dataFrame <- data.frame(x=x, y=y, row.names=c(1:10))
#calculate Euclidian distance
distxy <- dist(dataFrame)
#hierachical clustering "complete" linkage by default
hc <- hclust(distxy)
#sort dendrogram
dd <- dendsort(as.dendrogram(hc))
hc_sorted <- as.hclust(dd)
#sort in reverse, you can also pass hclust object
plot(dendsort(hc, isReverse=TRUE))
#sort by average distance
plot(dendsort(hc, type="average"))
#plot the result
par(mfrow = c(1, 3), mai=c(0.8,0.8,2,0.8))
plot(x, y, col="gray", pch=19, cex=2)
text(x, y, labels=as.character(1:10), cex=0.9)
plot(hc,main="before sorting", xlab="", sub="")
plot(hc_sorted, main="after sorting", xlab="", sub="")
``` |

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