The R Student Companion

Zusatztext "? a good book for high school or college students wanting to learn R on their own. Complete mathematical explanations paired with computational examples in R provide an excellent tool for these students to obtain a solid foundation in R."-Erin R. Leatherman! The American Statistician! November 2014"One of the positive features of this book is its fearlessness. The message is that you are never too young to learn R (the book is aimed at high school and college students) and that the best way to learn is to jump straight into writing R expressions. The author's enthusiasm for tackling challenges head on also shines off the page. ? I am also in favour of the hands-on approach of the book; it is clearly written to be read while sitting at a keyboard. ? The problem-based style of the book is another plus! where learning is motivated by first setting up an interesting question to answer. ? a lively and interesting introduction to R. It furnishes a lot of useful material for introducing a very powerful tool to enquiring young minds."-Paul Murrell! Australian & New Zealand Journal of Statistics! 2014"This book requires no prior knowledge of calculus! programming! or statistics. ? the commands and real-world examples are explained very thoroughly. This should make the book suitable for self-study and hold interest for the target group (high school and college-level students) ?"-Joonas Kauppinen! International Statistical Review (2013)! 81! 2"An R book for high schoolers! This is an excellent idea! and the quality of the product is equally excellent. It may be suitable for non-calculus-based introductory courses at the college level as well. ? Dennis does a good job dispelling the 'steep learning curve' myth concerning R ? . The writing style is clear and lively! and the examples should appeal to high school students. It is high time that introductory statistics be taught in an engaging manner that reflects our own enthusiasm for the subject! with meaningful data sets! attractive graphics! and so on. Dennis' book is a fine contribution toward that goal."-Norman Matloff! Journal of Statistical Software! Volume 52! February 2013"What do you get out of Dennis's book? You learn how to install R and add-on packages. You learn the basic syntax and discover how to make plots and do basic computations using R. A reader of this book will learn how to do some essential programming in R! and also see it applied to solve interesting example of real scientific problems. Indeed! The R Student Companion makes picking up R quick and easy."-Jason Graham! MAA Reveiws Informationen zum Autor Brian Dennis is a professor with a joint appointment in the Department of Fish and Wildlife Sciences and the Department of Statistical Sciences at the University of Idaho. He received a master's degree in statistics and a Ph.D. in ecology from The Pennsylvania State University. He has authored over 70 scientific articles on applications of statistics and mathematical modeling in ecology and natural resource management. He has been enthusiastically using R in his scientific work and teaching R in his courses for a decade. Klappentext This student-oriented manual describes how to use R in college science and mathematics courses. The manual features fully developed exercises based around the main precalculus analysis skills needed in the standard college general education courses in science and math. The exercises illustrate a wide variety of applications and subjects. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R on a reference card in the back of the book. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Zusammenfassung R is the amazing, free, open-access software package for scientific graphs and calculations used b...

Autorentext
Brian Dennis is a professor with a joint appointment in the Department of Fish and Wildlife Sciences and the Department of Statistical Sciences at the University of Idaho. He received a master's degree in statistics and a Ph.D. in ecology from The Pennsylvania State University. He has authored over 70 scientific articles on applications of statistics and mathematical modeling in ecology and natural resource management. He has been enthusiastically using R in his scientific work and teaching R in his courses for a decade.

Klappentext
This student-oriented manual describes how to use R in college science and mathematics courses. The manual features fully developed exercises based around the main precalculus analysis skills needed in the standard college general education courses in science and math. The exercises illustrate a wide variety of applications and subjects. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R on a reference card in the back of the book. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups.

Zusammenfassung
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.

Inhalt
Introduction: Getting Started with R. R Scripts. Functions. Basic Graphs. Data Input and Output. Loops. Logic and Control. Quadratic Functions. Trigonometric Functions. Exponential and Logarithmic Functions. Matrix Arithmetic. Systems of Linear Equations. Advanced Graphs. Probability and Simulation. Fitting Models to Data. Conclusion-It Doesn't Take a Rocket Scientist. Appendix A: Installing R. Appendix B: Getting Help. Appendix C: Common R Expressions. Index.

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