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020 _a9783662620274
_9978-3-662-62027-4
024 7 _a10.1007/978-3-662-62027-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
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072 7 _aMED090000
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082 0 4 _a519.5
_223
100 1 _aWehrens, Ron.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aChemometrics with R
_h[electronic resource] :
_bMultivariate Data Analysis in the Natural and Life Sciences /
_cby Ron Wehrens.
250 _a2nd ed. 2020.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2020.
300 _aXVI, 308 p. 111 illus., 82 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R!,
_x2197-5736
505 0 _aIntroduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications.
520 _aThis book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection). It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction). .
650 0 _aStatistics .
650 0 _aChemoinformatics.
650 0 _aBioinformatics.
650 1 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17030
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17020
650 2 4 _aStatistical Theory and Methods.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S11001
650 2 4 _aComputer Applications in Chemistry.
_0https://scigraph.springernature.com/ontologies/product-market-codes/C13009
650 2 4 _aBioinformatics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L15001
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662620267
776 0 8 _iPrinted edition:
_z9783662620281
830 0 _aUse R!,
_x2197-5736
856 4 0 _uhttps://doi.org/10.1007/978-3-662-62027-4
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
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