Multiple Factor Analysis Example Using by Jerome Pages (29 results)
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Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by T&F INDIA, 2025
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Chapman and Hall/CRC, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Chapman & Hall, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by CRC Press, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Taylor & Francis Ltd, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Taschenbuch. Condition: Neu. Multiple Factor Analysis by Example Using R | Jérôme Pagès | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Taylor & Francis Ltd | EAN 9781032924182 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anb…ieter: preigu.
Language: English
Published by Chapman and Hall/CRC, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Chapman and Hall/CRC, 2014
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Published by Chapman and Hall/CRC, 2014
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Published by Chapman and Hall/CRC, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Language: English
Published by Chapman and Hall/CRC, 2014
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Published by CRC Press, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Apple Academic Press Inc., 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by Chapman & Hall, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Published by 2014, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Condition: Used: Good. Occasion - Bon Etat - Multiple factor analysis by example using R (2014) - Grand Format.
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Published by Taylor & Francis, Chapman And Hall/CRC, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Mult…iple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book. 272 pp. Englisch.
Language: English
Published by Taylor & Francis Ltd, 2024
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple…Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.
Language: English
Published by Apple Academic Press Inc., 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
- Hardcover
- Print on Demand
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Language: English
Published by Chapman And Hall/CRC, 2014
Series: Chapman & Hall/CRC The R, Book 15 of 73. Book 15 of 73 - Chapman & Hall/CRC The R
- Hardcover
- Print on Demand
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of the methodology, this book brings…together the theoretical and methodological aspects of MFA. It also covers principal component analysis, multiple correspondence analysis, factor analysis for mixed data, hierarchical MFA, and more. The book also includes examples of applications and details on how to implement MFA using an R package, with the data and R scripts available online.
