Multiple factor analysis by example using R (Record no. 6560)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02006nam a2200265Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250812101330.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220909b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781482205473 |
| 037 ## - SOURCE OF ACQUISITION | |
| Terms of availability | Textual |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CSL |
| Language of cataloging | eng |
| Transcribing agency | CSL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 084 ## - COLON CLASSIFICATION NUMBER | |
| Classification number | B28 Q5 TB |
| Assigning agency | CSL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pages, Jerome |
| Relator term | author |
| 9 (RLIN) | 817766 |
| 245 #0 - TITLE STATEMENT | |
| Title | Multiple factor analysis by example using R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC Press. |
| Date of publication, distribution, etc. | 2015, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 257p. |
| Other physical details | : ill. |
| 500 ## - GENERAL NOTE | |
| General note | Bibliography 249-251p.; Index 253-257p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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).<br/><br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Matrix calculus |
| 9 (RLIN) | 817767 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Qualitative and mixed data |
| 9 (RLIN) | 817768 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Weighting groups of variables |
| 9 (RLIN) | 817769 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Classification part | B28 Q5 TB |
| Koha item type | Textual |
| Source of classification or shelving scheme | Colon Classification (CC) |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Science Library | Central Science Library | 2022-09-12 | 3951, 11/03/2015, Educational Book Agency (India) | B28 Q5 TB | SL1598149 | 2022-09-12 | 2022-09-12 | Textual |