R Companion to Elementary Applied Statistics
CRC Press (Verlag)
978-1-138-32925-6 (ISBN)
The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics.
Features:
Requires no familiarity with R or programming to begin using this book.
Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R.
Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code.
Presents quite a few methods that may be considered non-traditional, or advanced.
Includes accompanying carefully documented script files that contain code for all examples presented, and more.
R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples.
About the Author:
Christopher Hay-Jahans
received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
Preliminaries 2. Bringing Data Into and Out of R 3. Accessing Contents of Data Structures 4. Altering and Manipulating Data 5. Summaries and Statistics 6. More on Computing with R 6. Basic Charts for Categorical Data 7. Basic Plots for Numeric Data 8. Scatterplots, Lines, and Curves 9.More Graphics Tools 10. Tests for One and Two Proportions 11. Tests for More than Two Proportions 12. Tests of Variances and Spread 13. Tests for One or Two Means 14. Tests for More than Two Means 15. Selected Tests for Medians, and More 16. Dependence and Independence
| Erscheinungsdatum | 06.11.2018 |
|---|---|
| Zusatzinfo | 80 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 662 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| ISBN-10 | 1-138-32925-8 / 1138329258 |
| ISBN-13 | 978-1-138-32925-6 / 9781138329256 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
