labdsv (version 1.8-0)

disana: Dissimilarity Analysis

Description

Dissimilarity analysis is a graphical analysis of the distribution of values in a dissimilarity matrix

Usage

disana(x, panel='all')

Arguments

x

an object of class ‘dist’ such as returned by dist, vegdist or dsvdis

panel

a switch to specify which panel of graphics should be displayed. Can be either an integer from 1 to 3, or the word ‘all’.

Value

Plots three graphs to the current graphical device, and returns an (invisible) list with four components:

min

the minimum dissimilarity of each sample to all others

mean

the mean dissimilarity of each sample to all others

max

the maximum dissimilarity of each sample to all others

plots

a vector of samples identified in the last panel

Details

Calculates three vectors: the minimum, mean, and maximum dissimilarity for each sample in a dissimilarity matrix. By default it produces three plots: the sorted dissimilarity values, the sorted min, mean, and maximum dissimilarity for each sample, and the mean dissimilarity versus the minimum dissimilarity for each sample. Optionally, you can identify sample plots in the last panel with the mouse.

References

http://ecology.msu.montana.edu/labdsv/R/labs/lab8/lab8.html

Examples

# NOT RUN {
    data(bryceveg) # returns a data.frame called veg
    dis.bc <- dsvdis(bryceveg,'bray/curtis')
    disana(dis.bc)
# }