
Автор: Alboukadel Kassambara
Издательство: Amazon Digital Services LLC
ASIN: B0754LHRMV
Год: 2017
Страниц: 170
Язык: английский
Формат: epub, pdf
Размер: 11.2 MB
This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods (PCMs) in R. The visualization is based on the factoextra R package that we developed for creating easily beautiful ggplot2-based graphs from the output of PCMs. This book contains 4 parts. Part I provides a quick introduction to R and presents the key features of FactoMineR and factoextra. Part II describes classical principal component methods to analyze data sets containing, predominantly, either continuous or categorical variables.