Exploratory multivariate analysis by example using R

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Bibliographic Details
Main Author: Husson, François, (Author)
Other Authors: Lê, Sébastien., Pagès, Jérôme.
Format: eBook
Language: English
Published: Boca Raton : CRC Press, [2017]
Edition: Second edition.
Series: Series in computer science and data analysis.
Subjects:
ISBN: 9781315301860
1315301865
9781523113668
1523113669
9781315301877
1315301873
1315301857
9781315301853
1315301849
9781315301846
0429225431
9780429225437
9781138196346
1138196347
Physical Description: 1 online resource (xiii, 248 pages).

Cover

Table of contents

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100 1 |a Husson, François,  |e author. 
245 1 0 |a Exploratory multivariate analysis by example using R /  |c Francois Husson, Sebastien Le, Jérôme Pagès. 
250 |a Second edition. 
264 1 |a Boca Raton :  |b CRC Press,  |c [2017] 
300 |a 1 online resource (xiii, 248 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Chapman & Hall/CRC computer science and data analysis series 
504 |a Includes bibliographical references and index. 
505 0 |a Cover; Title Page; Copyright Page; Table of Contents; Preface; 1: Principal Component Analysis (PCA); 1.1 Data -- Notation -- Examples; 1.2 Objectives; 1.2.1 Studying Individuals; 1.2.2 Studying Variables; 1.2.3 Relationships between the Two Studies; 1.3 Studying Individuals; 1.3.1 The Cloud of Individuals; 1.3.2 Fitting the Cloud of Individuals; 1.3.2.1 Best Plane Representation of NI; 1.3.2.2 Sequence of Axes for Representing NI; 1.3.2.3 How Are the Components Obtained?; 1.3.2.4 Example; 1.3.3 Representation of the Variables as an Aid for Interpreting the Cloud of Individuals. 
505 8 |a 1.4 Studying Variables1.4.1 The Cloud of Variables; 1.4.2 Fitting the Cloud of Variables; 1.5 Relationships between the Two Representations NI and NK; 1.6 Interpreting the Data; 1.6.1 Numerical Indicators; 1.6.1.1 Percentage of Inertia Associated with a Component; 1.6.1.2 Quality of Representation of an Individual or Variable; 1.6.1.3 Detecting Outliers; 1.6.1.4 Contribution of an Individual or Variable to the Construction of a Component; 1.6.2 Supplementary Elements; 1.6.2.1 Representing Supplementary Quantitative Variables; 1.6.2.2 Representing Supplementary Categorical Variables. 
505 8 |a 1.6.2.3 Representing Supplementary Individuals1.6.3 Automatic Description of the Components; 1.7 Implementation with FactoMineR; 1.8 Additional Results; 1.8.1 Testing the Significance of the Components; 1.8.2 Variables: Loadings versus Correlations; 1.8.3 Simultaneous Representation: Biplots; 1.8.4 Missing Values; 1.8.5 Large Datasets; 1.8.6 Varimax Rotation; 1.9 Example: The Decathlon Dataset; 1.9.1 Data Description -- Issues; 1.9.2 Analysis Parameters; 1.9.2.1 Choice of Active Elements; 1.9.2.2 Should the Variables Be Standardised?; 1.9.3 Implementation of the Analysis. 
505 8 |a 1.9.3.1 Choosing the Number of Dimensions to Examine1.9.3.2 Studying the Cloud of Individuals; 1.9.3.3 Studying the Cloud of Variables; 1.9.3.4 Joint Analysis of the Cloud of Individuals and the Cloud of Variables; 1.9.3.5 Comments on the Data; 1.10 Example: The Temperature Dataset; 1.10.1 Data Description -- Issues; 1.10.2 Analysis Parameters; 1.10.2.1 Choice of Active Elements; 1.10.2.2 Should the Variables Be Standardised?; 1.10.3 Implementation of the Analysis; 1.11 Example of Genomic Data: The Chicken Dataset; 1.11.1 Data Description -- Issues; 1.11.2 Analysis Parameters. 
505 8 |a 1.11.3 Implementation of the Analysis2: Correspondence Analysis (CA); 2.1 Data -- Notation -- Examples; 2.2 Objectives and the Independence Model; 2.2.1 Objectives; 2.2.2 Independence Model and X2 Test; 2.2.3 The Independence Model and CA; 2.3 Fitting the Clouds; 2.3.1 Clouds of Row Profiles; 2.3.2 Clouds of Column Profiles; 2.3.3 Fitting Clouds NI and NJ; 2.3.4 Example: Women's Attitudes to Women's Work in France in 1970; 2.3.4.1 Column Representation (Mother's Activity); 2.3.4.2 Row Representation (Partner's Work); 2.3.5 Superimposed Representation of Both Rows and Columns. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Multivariate analysis. 
650 0 |a R (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Lê, Sébastien. 
700 1 |a Pagès, Jérôme. 
776 0 8 |i Print version:  |a Husson, François.  |t Exploratory multivariate analysis by example using R.  |b Second edition.  |d Boca Raton : CRC Press, [2017]  |z 9781138196346  |w (DLC) 2016051296  |w (OCoLC)962409796 
830 0 |a Series in computer science and data analysis. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpEMAEURE2/exploratory-multivariate-analysis?kpromoter=marc  |y Full text