Description of Environmental Variables Structures

Jean Thioulouse, Stéphane Dray, Anne-Béatrice Dufour, Aurélie Siberchicot, Thibaut Jombart and Sandrine Pavoine
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Jean Thioulouse: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Stéphane Dray: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Anne-Béatrice Dufour: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Aurélie Siberchicot: CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive
Thibaut Jombart: London School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology
Sandrine Pavoine: Muséum national déHistoire naturelle, CNRS, Sorbonne Université, Centre d’Ecologie et des Sciences de la Conservation (CESCO)

Chapter Chapter 5 in Multivariate Analysis of Ecological Data with ade4, 2018, pp 77-96 from Springer

Abstract: Abstract This chapter is organised in three parts, corresponding to three data analysis methods: standardised PCA for quantitative variables, Multiple Correspondence Analysis (MCA) for qualitative variables (factors in R), and the Hill and Smith Analysis for tables containing a mix of qualitative and quantitative variables.

Date: 2018
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DOI: 10.1007/978-1-4939-8850-1_5

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