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Autor Ron Wehrens |
Documentos disponibles escritos por este autor (1)



Título : Chemometrics with R : Multivariate Data Analysis in the Natural Sciences and Life Sciences Tipo de documento: documento electrónico Autores: Ron Wehrens ; SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Use R Número de páginas: XIV, 286 p. 99 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-17841-2 Idioma : Inglés (eng) Palabras clave: Life sciences Chemoinformatics Bioinformatics Computational biology Statistics Sciences Computer Applications in Chemistry for Sciences, Medicine, Health Appl. Clasificación: 51 Matemáticas Resumen: "Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R Nota de contenido: Introduction -- Part I Preliminaries: Data -- Preprocessing -- Part II Exploratory Analysis: Principal Component Analysis -- Self-Organizing Maps -- Clustering -- Part III Modelling: Classification -- Multivariate Regression -- Part IV Model Inspection: Validation -- Variable Selection -- Part V Applications: Chemometric -- Part VI Appendices: R packages Used in This Book -- References -- Index En línea: http://dx.doi.org/10.1007/978-3-642-17841-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33405 Chemometrics with R : Multivariate Data Analysis in the Natural Sciences and Life Sciences [documento electrónico] / Ron Wehrens ; SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - XIV, 286 p. 99 illus : online resource. - (Use R) .
ISBN : 978-3-642-17841-2
Idioma : Inglés (eng)
Palabras clave: Life sciences Chemoinformatics Bioinformatics Computational biology Statistics Sciences Computer Applications in Chemistry for Sciences, Medicine, Health Appl. Clasificación: 51 Matemáticas Resumen: "Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R Nota de contenido: Introduction -- Part I Preliminaries: Data -- Preprocessing -- Part II Exploratory Analysis: Principal Component Analysis -- Self-Organizing Maps -- Clustering -- Part III Modelling: Classification -- Multivariate Regression -- Part IV Model Inspection: Validation -- Variable Selection -- Part V Applications: Chemometric -- Part VI Appendices: R packages Used in This Book -- References -- Index En línea: http://dx.doi.org/10.1007/978-3-642-17841-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33405 Ejemplares
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