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Название: Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2)
Год: 2016
Издатель: STHDA
Язык: english
Кол-во страниц: 194
Формат: PDF
Описание:
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.
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Для просмотра ссылки Войдиили Зарегистрируйся
Название: Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2)
Год: 2016
Издатель: STHDA
Язык: english
Кол-во страниц: 194
Формат: PDF
Описание:
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.
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