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02709nam a22005175i 4500 |
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|a 9783642178412
|9 978-3-642-17841-2
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|a 10.1007/978-3-642-17841-2
|2 doi
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|a QH324.2-324.25
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|a 570.285
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|a Wehrens, Ron.
|e author.
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|a Chemometrics with R
|h [electronic resource] :
|b Multivariate Data Analysis in the Natural Sciences and Life Sciences /
|c by Ron Wehrens.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
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|a XIV, 286 p. 99 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Use R
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|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.
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|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.
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|a Life sciences.
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|a Chemoinformatics.
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|a Bioinformatics.
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|a Computational biology.
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|a Statistics.
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|a Life Sciences.
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|a Bioinformatics.
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|a Computer Applications in Chemistry.
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|a Statistics for Life Sciences, Medicine, Health Sciences.
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|a Computer Appl. in Life Sciences.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642178405
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|a Use R
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|u http://dx.doi.org/10.1007/978-3-642-17841-2
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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