by

J. Podani

Department of Plant Taxonomy and Ecology, Eotvos
University, H-1083 Ludovika ter, Budapest, Hungary.
Fax: +36 1 1338 764 (From October 30, 1996: +36 1 3338
764). *Email:*
PODANI@LUDENS.ELTE.HU

Minimum spanning trees.

Canonical correlation analysis. Variances and redundancy. Interset and intraset correlations. Bartlett tests. Scatterplots for various combinations of axes. Correspondence analysis with symmetric and asymmetric weighting of rows and columns. COA Joint plots. Principal coordinates analysis (metric multidimensional scaling) and nonmetric multidimensional scaling with the same coefficients as agglomerative clustering. Shepard diagrams. Flexible shortest path adjusment of input distances to diminish arch effect. Scatterplots. Canonical variates analysis. Discriminant functions, spherized on non-spherized scores, Bartlett tests, biplots visualizing correlation between variables and functions, isodensity and confidence circles. Eigenanalysis of symmetric matrices. Scree graphs showing relative magnitude of eigenvalues.

Ordering of variables based on cross products, sum of squares, variances or information statistics. Elimination of residuals or simple ranking. Save of reordered matrices.

Simulation of the distribution of coefficients of partition agreement, dendrogram dissimilarity and Procrustes distance.

Evaluation of the importance of variables in hierarchical and non-hierarchical clustering. Finding the optimum number of clusters in dendrograms based on dissimilarity- compatible ranking methods. Probability ellipses to enhance ordination interpretability.

Graphics data may be saved for future visualization. Font type and size, and the colors in graphs may be specified by the user. Main features available in modules wherever appropriate: dendrograms with and without labels, minimum spanning tree topologies, scattergrams for objects, biplots and joint plots, ternary plots for 3-group fuzzy clustering results, canonical variates scatterplots indicating group memberships and isodensity circles, superposition of probability ellipses, partition convex hulls, minimum spanning trees over ordination scattergrams, scree graphs, Shepard diagrams and graphical matrix comparisons, shaded data or distance matrices, point patterns with or without species labels, histograms, line diagrams.

Permanent data standardization and transformation: range, unit variance, unit length, logarithmic, power, Clymo, arc sin, row or column total, row or column maximum, centring, double centring, binarization. Simple stepwise entering of data, distance or other special files (dendrogram merge matrices, partition cluster membership files, etc). Conversion of distance matrix formats. Transposing matrices.

**System requirements: **Mac OS 6.0 or higher. The program
runs on all Macs. Color monitor is preferred. Memory
requirement is at least 2.5 Mb RAM.

**Cost:** 200 USD (educational), 150 USD (private), 300 USD
(site license with 5 manuals), 100 USD (upgrade from ver.
4.0 or older), 300 USD (PC and MAC versions together).

**Packlist: **One 3.5 in diskette with programs and sample
data in form of self-extracting compressed files, a
91-page User's Manual describing technical details.

**Further reference ** (not included)

Podani, J. 1994. * Multivariate Data Analysis in Ecology
and Systematics. A methodological guide to the SYN-TAX
5.0 package. * SPB Publishing, The Hague, The Netherlands.

This page last updated on Oct. 1, 1996