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Using R and RStudio for data management, statistical analysis, and graphics Second edition

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서명/저자사항Using R and RStudio for data management, statistical analysis, and graphics/ Nicholas J. Horton, Ken Kleinman.
개인저자Horton, Nicholas J.,author.
Kleinman, Ken,author,
판사항Second edition.
형태사항1 online resource (xxiv, 289 pages): illustrations.
기타형태 저록Print version: Horton, Nicholas J. Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition. Hoboken : Taylor and Francis, ?015 9781482237368
ISBN9781482237375
1482237377

서지주기Includes bibliographical references (pages 243-253) and indexes.
내용주기Front 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.
요약This 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.
일반주제명R (Computer program language) --Statistical methods.
Mathematical statistics --Data processing.
MATHEMATICS --Applied.
MATHEMATICS --Probability & Statistics --General.
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