R for Quantitative Chemistry
Seiten
2023
Chapman & Hall/CRC (Verlag)
978-1-032-41547-5 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-032-41547-5 (ISBN)
R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "Quantitative Chemistry" or sometimes "Analytical Chemistry". This book will be based upon, in large part, actual experimental data.
R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "Quantitative Chemistry" or sometimes "Analytical Chemistry". Topics include: basic statistics, spectroscopic data, acid base equilibria and titrations, binding curves (of great current interest for biomedical applications), Fourier Transforms, and chemical kinetics and enzyme kinetics. An innovative feature is the discussion (as an alternative to the less stable nls packages) of the simplex adaptation subplex (R package) coupled with Monte Carlo analysis to determine confidence intervals for estimated parameters resulting from least squares optimization. Chemists who are interested in learning R as a research tool as well as Chemists who are teaching Quantitative Chemistry, as well as their students will be interested. This book is useful as most R books approach data analysis from an economic, social, medical, or biological context. Analysis of chemical data draws upon specific numerical models and a different set R programming and packages than is typically discussed in other disciplines. This book will be based upon, in large part, actual experimental data and will include end of chapter questions and projects. Readers are encouraged to email the author at gosserch@gmail.com and to follow the accompanying blog on Medium "R Programming for Quantitative Chemistry".
Key Features:
Elements of R programming for Chemists
Literature Based Examples
Includes Binding Assay Analysis
Integrates theory, experiment, and R programming
R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "Quantitative Chemistry" or sometimes "Analytical Chemistry". Topics include: basic statistics, spectroscopic data, acid base equilibria and titrations, binding curves (of great current interest for biomedical applications), Fourier Transforms, and chemical kinetics and enzyme kinetics. An innovative feature is the discussion (as an alternative to the less stable nls packages) of the simplex adaptation subplex (R package) coupled with Monte Carlo analysis to determine confidence intervals for estimated parameters resulting from least squares optimization. Chemists who are interested in learning R as a research tool as well as Chemists who are teaching Quantitative Chemistry, as well as their students will be interested. This book is useful as most R books approach data analysis from an economic, social, medical, or biological context. Analysis of chemical data draws upon specific numerical models and a different set R programming and packages than is typically discussed in other disciplines. This book will be based upon, in large part, actual experimental data and will include end of chapter questions and projects. Readers are encouraged to email the author at gosserch@gmail.com and to follow the accompanying blog on Medium "R Programming for Quantitative Chemistry".
Key Features:
Elements of R programming for Chemists
Literature Based Examples
Includes Binding Assay Analysis
Integrates theory, experiment, and R programming
Dr. David Gosser is a Professor of Chemistry at City College of New York, CUNY. Dr. Gosser received his Ph.D. in Physical Inorganic Chemistry from Brown University.
1. Intro to R 2. Data and Statistics 3. Beer’s Law and Linear Regression 4. Solving Equilibrium 5. Titrations 6. Binding Curves 7. Electrochemistry 8. Fourier Transform and Spectroscopy 9. R Kinetic Analysis 10. Reports in R Markdown
| Erscheinungsdatum | 02.09.2023 |
|---|---|
| Zusatzinfo | 3 Tables, black and white; 3 Line drawings, color; 26 Line drawings, black and white; 3 Illustrations, color; 26 Illustrations, black and white |
| Sprache | englisch |
| Maße | 138 x 216 mm |
| Gewicht | 453 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Naturwissenschaften ► Biologie ► Biochemie | |
| Naturwissenschaften ► Chemie ► Physikalische Chemie | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-41547-9 / 1032415479 |
| ISBN-13 | 978-1-032-41547-5 / 9781032415475 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Buch | Softcover (2024)
SAGE Publications Inc (Verlag)
CHF 99,95
An Introduction
Buch | Hardcover (2023)
SAGE Publications Ltd (Verlag)
CHF 199,95
