|
![]() |
|||
|
||||
OverviewThe 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. Full Product DetailsAuthor: Christopher Hay-Jahans (University of Alaska-Southeast, Juneau, USA)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.662kg ISBN: 9781138329256ISBN 10: 1138329258 Pages: 376 Publication Date: 09 January 2019 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreliminaries 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 IndependenceReviewsThis book is written by a Professor of Mathematics with much experience in teaching statistics applied to the natural sciences. As mentioned in the Preface, the book addresses students (and teachers) of elementary statistics courses. Only basic preliminary statistical knowledge is necessary to start using the book, it is perfect for anyone jumping in to R, and it could readily serve as a reference manual rather than to be read from beginning to end... Several simple applied examples with detailed explanations are presented (coded in R) in order to make the methods more deeply understandable, and in some cases to compare different types of application (e.g. when different assumptions are filled, different research questions are of interest, or different types of data are recorded). All the richly-commented script files used in the book are available on the publisher's website... At the end of the book, a highly informative Index aids quick searches. Nevertheless, the book can be ordered as an e-book as well... This second book of Professor Hay-Jahans, particularly together with the first one, is appropriate for undergraduate students as an introductory book on statistics using R, but it could successfully be used also by PhD students, researchers, and teachers requiring a consistent and through reference. - Marta Ladanyi, ISCB December 2019 Author InformationChristopher 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. Tab Content 6Author Website:Countries AvailableAll regions |