Brian Dennis

September 24, 2012
by Chapman and Hall/CRC

Professional - 360 Pages
- 58 B/W Illustrations

ISBN 9781439875407 - CAT# K13498

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- Illustrates how to calculate and graph examples in R using the main topics of precalculus algebra and portions of precalculus statistics
- Presents a set of computational exercises in R calculations designed to be performed cooperatively in groups or alone
- Practical across all STEM courses, and can follow a student from course to course
- Assumes reader has had only a moderate amount of high school algebra
- Approaches R as a comprehensive tool for scientific computing, not just as a statistics package

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. **The R Student Companion** is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some high school algebra and has no computer programming background.

The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups.

Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R.

R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort. By integrating mathematical computation and scientific illustration early in a student’s development, R use can enhance one's understanding of even the most difficult scientific concepts. While R has gained a strong reputation as a package for statistical analysis, **The R Student Companion** approaches R more completely as a comprehensive tool for scientific computing and graphing.