Multivariate Analysis Graphs

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 4 in Multivariate Analysis of Ecological Data with ade4, 2018, pp 53-76 from Springer

Abstract: Abstract This chapter outlines the main characteristics of the adegraphics package. The structure of graphical objects, classes and associated methods are explained. Several examples show how user-level functions can be used to draw scientific graphs particularly adapted to multivariate data analysis. Automated collection of graphs, spatial representations, and the case of big data sets are detailed.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-8850-1_4

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DOI: 10.1007/978-1-4939-8850-1_4

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