# delta.plot

From ape v5.3
0th

Percentile

##### Delta Plots

This function makes a $\delta$ plot following Holland et al. (2002).

Keywords
hplot
##### Usage
delta.plot(X, k = 20, plot = TRUE, which = 1:2)
##### Arguments
X

a distance matrix, may be an object of class dist''.

k

an integer giving the number of intervals in the plot.

plot

a logical specifying whether to draw the $\delta$ plot (the default).

which

a numeric vector indicating which plots are done; 1: the histogram of the $\delta_q$ values, 2: the plot of the individual $\bar{\delta}$ values. By default, both plots are done.

##### Details

See Holland et al. (2002) for details and interpretation.

The computing time of this function is proportional to the fourth power of the number of observations ($O(n^4)$), so calculations may be very long with only a slight increase in sample size.

##### Value

This function returns invisibly a named list with two components:

• countsthe counts for the histogram of $\delta_q$ values

• delta.barthe mean $\delta$ value for each observation

##### References

Holland, B. R., Huber, K. T., Dress, A. and Moulton, V. (2002) Delta plots: a tool for analyzing phylogenetic distance data. Molecular Biology and Evolution, 12, 2051--2059.

dist.dna

• delta.plot
##### Examples
# NOT RUN {
data(woodmouse)
d <- dist.dna(woodmouse)
delta.plot(d)
layout(1)
delta.plot(d, 40, which = 1)
# }

Documentation reproduced from package ape, version 5.3, License: GPL (>= 2)

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