Front Cover; The R Student Companion; Copyright; Dedication; Table of Contents; Preface; Author; 1. Introduction: Getting Started with R; 2. R Scripts; 3. Functions; 4. Basic Graphs; 5. Data Input and Output; 6. Loops; 7. Logic and Control; 8. Quadratic Functions; 9. Trigonometric Functions; 10. Exponential and Logarithmic Functions; 11. Matrix Arithmetic; 12. Systems of Linear Equations; 13. Advanced Graphs; 14.Probability and Simulation; 15. Fitting Models to Data; 16. Conclusion-It Doesn't Take a Rocket Scientist; Appendix A: Installing R; Appendix B: Getting Help.Appendix C: Common R ExpressionsBack Cover.""... 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 challe.Abstract: Front Cover; The R Student Companion; Copyright; Dedication; Table of Contents; Preface; Author; 1. Introduction: Getting Started with R; 2. R Scripts; 3. Functions; 4. Basic Graphs; 5. Data Input and Output; 6. Loops; 7. Logic and Control; 8. Quadratic Functions; 9. Trigonometric Functions; 10. Exponential and Logarithmic Functions; 11. Matrix Arithmetic; 12. Systems of Linear Equations; 13. Advanced Graphs; 14. Probability and Simulation; 15. Fitting Models to Data; 16. Conclusion-It Doesn't Take a Rocket Scientist; Appendix A: Installing R; Appendix B: Getting Help.Appendix C: Common R ExpressionsBack Cover.""... 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 challe