DOS vs Windows PATN

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The DOS version of PATN contains a larger suite of options, but most were rarely used

The Windows version is a lot easier (and more fun) to use and contains many new approaches

While the underlying algorithms in PATN V3 are basically the same as the DOS version of PATN, the user-interface of PATN V3 provides a totally innovative analysis environment

The following table outlines the differences in utilities and options between the DOS version of PATN and PATN.

Yes 3 = 3 of DOS PATN's options inbuilt in PATN v3, No = not included in PATN v3

DOS PATN Description PATN v3

ALOB/C Non-hierarchical clustering/classification Yes*

ASIM ANOSIM (randomization tests based on association) Yes

ASO Association measures between rows (17) Yes 4

ASON Input, manipulation and output of association matrices Yes (LSM)

BOND Bonding lists based on NNB No

CHI2 Chi-squared statistic across groups No

COLR Mapping of objects by colour Yes

DATN Data input, editing and export Yes

DEND Dendrograms (from hierarchical classification) Yes

DCOR Detrended correspondence analysis (DECORANA) No

FUSE Agglomerative hierarchical clustering (8) Yes 4

GASO Association between rows with variable grouping No

GDEF Define or manipulate group definitions (9) Yes 3

GSTA Statistical summaries of variables across groups Yes

HIST Histograms and univariate statistics Yes

LABN Input, creation and output of labels Yes

MASK Masking, sampling of data Yes

MCAO Monte-Carlo testing of variables in ordination Yes

MDIV Monothetic divisive clustering No

MERG Left-right and up-down merging of data Yes

MST Minimum spanning tree Yes

NNB Nearest neighbour analysis No

PCA Principal component/coordinate analysis No

PCC Fit variables to ordination using multiple linear regression Yes

PCR Orthogonal rotation of ordination axes No

PDIV Polythetic divisive clustering No

PRAM Specify data and environmental parameters Yes

PROC Procrustes analysis (compare two ordinations) No

RAND Data generation by random variates (8 distributions) Yes

RIND Hubert & Arabie statistic of group difference No

SALE Travelling salesman network No

SAMP Row or column sampling strategies No

SCAN Presence/absence statistics Yes

SCAT Scatter plots Yes (ord)

SENS Sensitivity/ redundancy analysis of variables across groups No

SERE Seriation (1d ordination by 'smoothness') No

SSH Semi-strong hybrid multidimensional scaling Yes

TRNA Transformations and standardizations of association matrices No

TRND Transformations and standardizations of data (12) Yes 7

TSPN Pre-processor for Acrospin 3d vizualization (+SPIN) Yes better!

TWAY two-way table (re-ordering of data by classifications) Yes

TWIN Mark Hill's Twinspan (two-way indicator species analysis) No

	*PATN v3+ does not include ALOB's weighting of variables option as such, but a weighting may be achieved using a combination of variable standardization and Minkowski metrics. PATN V3 does handle large datasets (1 million+ objects)
	More detail about some of the DOS PATN options and PATN V3

PATN was developed by Lee Belbin and CSIRO and subsequently by Lee Belbin (Blatant Fabrications Pty Ltd, ABN: 96 106 672 379) with V1 coding by students at Griffith University (Queensland). Issues relating to this web site should be directed to patninfo@patn.com.au. PATN and this Web site are Copyright © 2004 Blatant Fabrications Pty Ltd. All rights reserved.

Last modified: Thursday April 24, 2008.