Exploratory multivariate analysis by example using R
Husson, François.
creator
Lê, Sébastien.
Pagès, Jérôme.
text
bibliography
flu
Boca Raton
CRC Press
c2011
2011
monographic
eng
xii, 228 p. : ill. ; 25 cm.
"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"--
François Husson, Sébastien Lê, Jérôme Pagès.
"A Chapman & Hall book".
Includes bibliographical references and index.
Multivariate analysis
R (Computer program language)
MATHEMATICS / Probability & Statistics / General
QA278 .H87 2011
519.5/3502855133
MAT029000
Chapman & Hall/CRC computer science and data analysis
9781439835807 (hardback)
2010040339
DLC
101007
20160524122512.0
22196