Practical guide to principal component methods in R / Alboukadel Kassambara
Por: Kassambara, Alboukadel
.
Tipo de material: 
LibroEditor: [Lugar de publicación desconocido] : [editor no identificado], 2017Descripción: xiv, 155 páginas ; 30x22 cm.Idioma: InglésISBN: 9781975721138.Materia(s): Lenguajes de programación (Computadores electrónicos) | R (Lenguaje de programación)Clasificación CDD: 005 | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Libro - Material General
|
Biblioteca Campus Palmas General | General | 005.133/K133p (Browse shelf) | 1 | Checked out | 2023-11-30 | 0022504 |
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| 005.133/K133g GGPlot2 essentials for great data visualization in R | 005.133/K133i Inter-rater realiability essentials in R | 005.133/K133m Machine learning essentials | 005.133/K133p Practical guide to principal component methods in R | 005.133/K133pr Practical guide to cluster analysis in R : unsupervised machine learning | 005.133/K133pra Practical statics in R II : comparing groups : numerical variables | 005.133/K133r R Graphics essentials for great data visualization |
I. Basics
1. Introduction to R
2. Required R packages
II. Clasical methods
3. Principal component analysis
4. Correspondence analysis
5. Multiple correspondence analysis
III. Advanced methods
6. Factor analysisi of mixed data
7. Multiple factor analysis
IV. Clustering
8. HCPC: hierarchical clustering on principal components
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