Chemometrics with R Multivariate Data Analysis in the Natural Sciences and Life Sciences /

"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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Wehrens, Ron (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:Use R
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Wehrens, Ron.  |e author. 
245 1 0 |a Chemometrics with R  |h [electronic resource] :  |b Multivariate Data Analysis in the Natural Sciences and Life Sciences /  |c by Ron Wehrens. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a XIV, 286 p. 99 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Use R 
505 0 |a 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. 
520 |a "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. 
650 0 |a Life sciences. 
650 0 |a Chemoinformatics. 
650 0 |a Bioinformatics. 
650 0 |a Computational biology. 
650 0 |a Statistics. 
650 1 4 |a Life Sciences. 
650 2 4 |a Bioinformatics. 
650 2 4 |a Computer Applications in Chemistry. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Computer Appl. in Life Sciences. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642178405 
830 0 |a Use R 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-17841-2  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)