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

Chemometrics with R: Multivariate Data A

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

✍ Ron Wehrens (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>"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 with R: Multivariate Data A

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

✍ Ron Wehrens (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>"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 with R multivariate data an

📁 Chemometrics with R multivariate data analysis in the natural sciences and life sciences

✍ Wehrens, Ron 📂 Library 📅 2011 🏛 Springer 🌐 English

pt. 1. Preliminaries -- pt. 2. Exploratory analysis -- pt. 3. Modelling -- pt. 4. Model inspection -- pt. 5. Applications -- pt. 6. Appendices.;This text offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the ge

Chemometrics with R: Multivariate Data A

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

✍ Ron Wehrens 📂 Library 📅 2020 🏛 Springer 🌐 English

This 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 (cl

Data analysis for the life sciences with

📁 Data analysis for the life sciences with R

✍ Irizarry, Rafael A.; Love, Michael I 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code t

Multivariate analysis of data in sensory

📁 Multivariate analysis of data in sensory science

✍ Tormod Naes and Einar Risvik (Eds.) 📂 Library 📅 1996 🏛 Academic Press, Elsevier

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

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