Factor analysis and dimension reduction in R : a social scientist's toolkit / G. David Garson.
"Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA)...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Abingdon, Oxon ; New York, NY :
Routledge,
2023.
|
| Subjects: | |
| Online Access: | Click here to view this book |
| Summary: | "Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA) is familiar to most social scientists. However, what is less familiar is understanding that factor analysis is a subset of the more general statistical family of dimension reduction methods. Presented in colour with R code and introduction to R and RStudio, this book will be suitable for graduate level and optional module courses for social scientists, and on quantitative methods and multivariate statistics courses"-- |
|---|---|
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1000810593 9781000810592 |