Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R!)
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Chemometrics with R : Paperback : Springer-Verlag Berlin and Heidelberg GmbH & Co. KG : 9783642178405 : 3642178405 : 01 Feb 2011 : This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code. Find new edition of Chemometrics with R here
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Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences
Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences: Ron Wehrens
Store Search search Title, ISBN and Author Chemometrics With R by Ron Wehrens Estimated delivery 3-12 business days Format Paperback Condition Brand New This accessible primer on multivariate statistics in the life sciences gives a full description of the general data analysis paradigm, from exploratory analysis to modeling to validation; covers other aspects of chemometrics; and supplies the relevant R code. Publisher Description Chemometrics with R offers readers an accessible introduction to
Springer 9783642178405 Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (2011 Edition) Description *Author: Wehrens, Ron *Series Title: Use R *Binding Type: Paperback *Number of Pages: 300 *Publication Date: 2011/01/31 *Language: English *Dimensions: 9.21 x 6.14 x 0.63 inches SKU: UBM9783642178405 Payment We accept payment via PayPal, Mastercard, Visa, American Express, Discover and PayPal?s ?Bill Me Later?. Note: All purchases are processed via PayPal.
"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
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