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About R for Quantitative Chemistry
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
Detailed Information
| Author: | Gosser D.K. |
|---|---|
| Publication Year: | 2024 |
| ISBN: | 9781032414799 |
| Pages: | 119 |
| Language: | English |
| File Size: | 1.9 |
| Format: | |
| Price: | FREE |
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