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

✍ Scribed by Ron Wehrens (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 301
• Series: Use R
• Edition: 1
• Category: Library

✦ Synopsis

"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.

✦ Table of Contents

Front Matter....Pages i-xiv
Introduction....Pages 1-4
Front Matter....Pages 5-5
Data....Pages 7-12
Preprocessing....Pages 13-39
Front Matter....Pages 41-41
Principal Component Analysis....Pages 43-66
Self-Organizing Maps....Pages 67-78
Clustering....Pages 79-99
Front Matter....Pages 101-101
Classification....Pages 103-144
Multivariate Regression....Pages 145-172
Front Matter....Pages 173-173
Validation....Pages 175-204
Variable Selection....Pages 205-232
Front Matter....Pages 233-233
Chemometric Applications....Pages 235-267
Back Matter....Pages 269-285

✦ Subjects

Bioinformatics; Computer Applications in Chemistry; Statistics for Life Sciences, Medicine, Health Sciences; Computer Appl. in Life Sciences