자료유형 | 단행본 |
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서명/저자사항 | Using R and RStudio for data management, statistical analysis, and graphics/ Nicholas J. Horton, Ken Kleinman. |
개인저자 | Horton, Nicholas J.,author. Kleinman, Ken,author, |
판사항 | Second edition. |
형태사항 | 1 online resource (xxiv, 289 pages): illustrations. |
기타형태 저록 | Print version: Horton, Nicholas J. Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition. Hoboken : Taylor and Francis, ?015 9781482237368 |
ISBN | 9781482237375 1482237377 |
서지주기 | Includes bibliographical references (pages 243-253) and indexes. |
내용주기 | Front Cover; Contents; List of Tables; List of Figures; Preface to the second edition; Preface to the first edition; Chapter 1: Data input and output; Chapter 2: Data management; Chapter 3: Statistical and mathematical functions; Chapter 4: Programming and operating system interface; Chapter 5: Common statistical procedures; Chapter 6: Linear regression and ANOVA; Chapter 7: Regression generalizations and modeling; Chapter 8: A graphical compendium; Chapter 9: Graphical options and configuration; Chapter 10: Simulation; Chapter 11: Special topics; Chapter 12: Case studies. Appendix A: Introduction to R and RStudio; Appendix B: The HELP study dataset; Appendix C: References; Back Cover. |
요약 | This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following themes: simulation, probability, statistics, mathematics/computing, and graphics. The authors have also added many other updates, including a discussion of RStudio-a very popular development environment for R. |
일반주제명 | R (Computer program language) --Statistical methods. Mathematical statistics --Data processing. MATHEMATICS --Applied. MATHEMATICS --Probability & Statistics --General. |
언어 | 영어 |
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