labdsv (version 1.2-0)

disana: Dissimilarity Analysis

Description

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

Usage

disana(x)

Arguments

x

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

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

Examples

data(bryceveg) # returns a data.frame called veg
    dis.bc <- dsvdis(bryceveg,'bray/curtis')
    disana(dis.bc)