disana: Dissimilarity Analysis

Description

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

Usage

disana(x, panel='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

Arguments

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

Author

David W. Roberts droberts@montana.edu http://ecology.msu.montana.edu/droberts/droberts.html

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

Run this code

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

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