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.…mehr
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.
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.
Inhaltsangabe
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.
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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