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Mastering Scientific Computing with R

You're reading from Mastering Scientific Computing with R Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Product type Paperback

Published in Jan 2015

Publisher

ISBN-13 9781783555253

Length 432 pages

Edition 1st Edition

Languages

R

Concepts

Data Science

Table of Contents (12) Chapters

Preface

1. Programming with R

2. Statistical Methods with R FREE CHAPTER

3. Linear Models

4. Nonlinear Methods

5. Linear Algebra

6. Principal Component Analysis and the Common Factor Model

7. Structural Equation Modeling and Confirmatory Factor Analysis

8. Simulations

9. Optimization

10. Advanced Data Management

Index

Who this book is for

If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to start applying R to be able to answer empirical scientific questions. Some R exposure is helpful, but not compulsory.

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