Title: R Companion to Elementary Applied Statistics
by: Christopher Hay-Jahans
Print Length 页数: 376 pages
Edition 版次: 1
Language 语言: English
Publisher finelybook 出版社: Chapman and Hall/CRC
Publication Date 出版日期: 2019-01-08
ISBN-10: 1138329169
ISBN-13: 9781138329164
Book Description
By finelybook
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 by:
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.
Contents
Preface
1. 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
7. Basic Charts for Categorical Data
8. Basic Plots for Numeric Data
9. Scatterplots,Lines,and Curves
10. More Graphics Tools
11. Tests for One and Two Proportions
12. Tests for More than Two Proportions
13. Tests of Variances and Spread
14. Tests for One or Two Means
15. Tests for More than Two Means
16. Selected Tests for Medians and More
17. Dependence and Independence
Bibliography
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