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V. Kevin, M. Whitney (1972)
Algorithm 422. Minimal Spanning Tree [H]Communications of the Association for Computing Machinery, 15
D. Chessel, P. Mercier (1993)
Biométrie et Environnement
(1969)
Analyse statistique de la contiguõÈ teÂ
F. Lindgren (1994)
Third generation PLS. Some elements and applications
K. Takeuchi, H. Yanai, B. N. Mukherjee (1982)
A Unified Approach by Means of Projection onto Linear Subspaces
W. Cleveland, S. Devlin (1988)
Locally Weighted Regression: An Approach to Regression Analysis by Local FittingJournal of the American Statistical Association, 83
(1994)
Third generation PLS. Some elements and applications.Research Group for Chemometrics. Department of Organic Chemistry, 1±57
西里 静彦 (1980)
Analysis of categorical data : dual scaling and its applications
S. Dolédec, D. Chessel (1989)
Rythmes saisonniers et composantes stationnelles en milieu aquatique. II: Prise en compte et élimination d'effets dans un tableau faunistique, 10
J. Lebreton, R. Sabatier, G. Banco, A. Bacou (1991)
Principal Component and Correspondence Analyses with Respect to Instrumental Variables : An Overview of Their Role in Studies of Structure - Activity and Species - Environment Relationships
Arjun Gupta (1982)
The foundations of multivariate analysis
N. Mantel (1967)
The detection of disease clustering and a generalized regression approach.Cancer research, 27 2
M. Tenenhaus, Forrest Young (1985)
An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate dataPsychometrika, 50
P. Mahalanobis (1936)
On the generalized distance in statistics, 2
H. Persat, A. Nelva, D. Chessel (1985)
Approche par l'analyse discriminante sur variables qualitatives d'un milieu lotique, le Haut Rhône français, 6
FRANçOIS Chevene, Sylvain Doléadec, D. Chessel (1994)
A fuzzy coding approach for the analysis of long‐term ecological dataFreshwater Biology, 31
V. Barnett (1982)
Interpreting multivariate dataJournal of the American Statistical Association, 78
(1991)
Recent developments in linear ordination methods for environmental sciences
Y. Escoufier (1987)
The Duality Diagram: A Means for Better Practical Applications
S. Dolédec, D. Chessel, Jean-Michel Olivier (1995)
L'analyse des correspondances décentrée : application aux peuplements ichtyologiques du Haut-RhôneBulletin Francais De La Peche Et De La Pisciculture, 68
G. Saporta (1975)
Liaisons entre plusieurs ensembles de variables et codage de données qualitatives
Y. Escoufier (1980)
Biométrie et Temps
竹内 啓, 柳井 晴夫, B. Mukherjee (1984)
The foundations of multivariate analysis : a unified approach by means of projection onto linear subspacesJournal of the American Statistical Association, 79
T. Foucart (1978)
Sur les suites de tableaux de contingence indexés par le temps, 3
C. Lavit, Y. Escoufier, R. Sabatier, P. Traissac (1994)
The ACT (STATIS method)Computational Statistics & Data Analysis, 18
(1993)
Permutation tests. New-York: Springer-Verlag
(1993)
Couplage de triplets statistiques et liaisons espeÁ ces - environnement
V. Whitney (1972)
Algorithm 422: minimal spanning tree [H]Communications of The ACM, 15
(1975)
Analyse des donneÂes ternaires: la double analyse en composantes principales
K. Gabriel (1971)
The biplot graphic display of matrices with application to principal component analysisBiometrika, 58
K. Warwick, A. Morineau (1984)
Multivariate descriptive statistical analysis
M. Okamoto (1972)
FOUR TECHNIQUES OF PRINCIPAL COMPONENT ANALYSISJournal of the Japan Statistical Society. Japanese issue, 2
W. Cleveland (1979)
Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 74
S. Dolédec, D. Chessel (1987)
Rythmes saisonniers et composantes stationnelles en milieu aquatique. I: Description d'un plan d'observation complet par projection de variables, 8
J. D. Lebreton, R. Sabatier, G. Banco, A. M. Bacou (1991)
Applied Multivariate Analysis in SAR and Environmental Studies
K. Gabriel (1980)
Biplot Display of Multivariate Matrices for Inspection of Data and Diagnosis.
C. Braak (1988)
Unimodal models to relate species to environmentBiometrics, 44
(1984)
Multivariate Descriptive Analysis: Correspondence Analysis and Related Techniques for Large Matrices
B. Manly (1986)
Multivariate Statistical Methods : A Primer
J. Thioulouse, F. Chevenet (1996)
NetMul, a World-Wide Web user interface for multivariate analysis softwareComputational Statistics & Data Analysis, 21
(1995)
L'analyse des correspondances deÂ
I. Noy‐Meir (1973)
Data Transformations in Ecological Ordination: I. Some Advantages of Non-CenteringJournal of Ecology, 61
J. Thioulouse, D. Chessel (1987)
Les analyses multitableaux en écologie factorielle. I: De la typologie d'état à la typologie de fonctionnement par l'analyse triadique, 8
J. Thioulouse, J. Lobry (1995)
Co-inertia analysis of amino-acid physico-chemical properties and protein composition with the ADE packageComputer applications in the biosciences : CABIOS, 11 3
S. Dolédec, D. Chessel (1994)
Co‐inertia analysis: an alternative method for studying species–environment relationshipsFreshwater Biology, 31
C. J. F. ter Braak (1987)
The analysis of vegetationenvironment relationships by canonical correspondence analysisVegetatio, 69
(1995)
Can the enucleated rabbit eye test be a suitable alternative for the in vivo eye test? A chemometrical response
P. Cadet, J. Thioulouse, A. Albrecht (1994)
Relationships between ferrisol properties and the structure of plant parasitic nematode communities on sugarcane in Martinique (French West Indies)Acta Oecologica-international Journal of Ecology, 15
Y. Escoufier (1987)
Developments in Numerical Ecology
P. Geladi, B. Kowalski (1986)
Partial least-squares regression: a tutorialAnalytica Chimica Acta, 185
J. Thioulouse, D. Chessel, S. Champely (1995)
Multivariate analysis of spatial patterns: a unified approach to local and global structuresEnvironmental and Ecological Statistics, 2
(1980)
L'analyse conjointe de plusieurs matrices de donneÂ
J. Lebreton, D. Chessel, M. Richardot-Coulet, N. Yoccoz (1988)
L'analyse des relations espèces-milieu par l'analyse canonique des correspondances. I: Variables de milieu quantitatives, 9
J. Thioulouse, D. Chessel (1992)
A METHOD FOR RECIPROCAL SCALING OF SPECIES TOLERANCE AND SAMPLE DIVERSITYEcology, 73
F. Cailliez, J. Pagès (1976)
Introduction à l'analyse des données
P. Cadet, J. Thioulouse, A. Albrecht (1994)
Relationships between ferrisol properties and the structure of plant parasitic nematode communities on sugarcane in Martinique (French West Indies)Acta Œcologica, 15
D. Morrison (1967)
Multivariate Statistical Methods
A. Höskuldsson (1988)
PLS regression methodsJournal of Chemometrics, 2
P. Good (1993)
Permutation tests
R. Clarke, M. Greenacre (1985)
Theory and Applications of Correspondence AnalysisJournal of Animal Ecology, 54
T. Næs (1989)
Leverage and influence measures for principal component regressionChemometrics and Intelligent Laboratory Systems, 5
R. Tomassone (1988)
Discrimination et classement
E. Castella, M. Speight (1996)
Knowledge representation using fuzzy coded variables: an example based on the use of Syrphidae (Insecta, Diptera) in the assessment of riverine wetlandsEcological Modelling, 85
(1996)
Towards better graphics for multivariate analysis: the interactive factor map
D. McHale, C. Lavit (1990)
Analyse Conjointe de Tableaux QuantitatifsBiometrics, 46
P. Cazes, D. Chessel, S. Dolédec (1988)
L'analyse des correspondances internes d'un tableau partitionné : son usage en hydrobiologie, 36
We present ADE-4, a multivariate analysis and graphical display software. Multivariate analysis methods available in ADE-4 include usual one-table methods like principal component analysis and correspondence analysis, spatial data analysis methods (using a total variance decomposition into local and global components, analogous to Moran and Geary indices), discriminant analysis and within/between groups analyses, many linear regression methods including lowess and polynomial regression, multiple and PLS (partial least squares) regression and orthogonal regression (principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis and many other variants, coinertia analysis and the RLQ method, and several three-way table (k-table) analysis methods. Graphical display techniques include an automatic collection of elementary graphics corresponding to groups of rows or to columns in the data table, thus providing a very efficient way for automatic k-table graphics and geographical mapping options. A dynamic graphic module allows interactive operations like searching, zooming, selection of points, and display of data values on factor maps. The user interface is simple and homogeneous among all the programs; this contributes to making the use of ADE-4 very easy for non- specialists in statistics, data analysis or computer science.
Statistics and Computing – Springer Journals
Published: Oct 14, 2004
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