UID:
almahu_9949434923702882
Format:
1 online resource (xviii, 564 pages) :
,
illustrations (chiefly color)
ISBN:
9781003279693
,
1003279694
,
9781000810554
,
1000810550
,
9781000810592
,
1000810593
Content:
"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"--
Additional Edition:
Print version: Garson, G. David. Factor analysis and dimension reduction in R Abingdon, Oxon ; New York, NY: Routledge, 2023 ISBN 9781032246680
Language:
English
DOI:
10.4324/9781003279693
URL:
https://www.taylorfrancis.com/books/9781003279693
URL:
Volltext
(URL des Erstveröffentlichers)
