Using R and RStudio for Data Management, Statistical Analysis, and Graphics by N

Description: Using R and RStudio for Data Management, Statistical Analysis, and Graphics by Nicholas J. Horton, Ken Kleinman This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, FORMAT Paperback CONDITION Brand New Publisher Description Improve Your Analytical SkillsIncorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the books simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information. New to the Second Edition The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflowsNew chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphicsNew chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrappingNew chapter on simulation that includes examples of data generated from complex models and distributions A detailed discussion of the philosophy and use of the knitr and markdown packages for RNew packages that extend the functionality of R and facilitate sophisticated analysesReorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots Easily Find Your Desired TaskConveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website. Author Biography Nicholas J. Horton is a professor of statistics at Amherst College. His research interests include longitudinal regression models and missing data methods, with applications in psychiatric epidemiology and substance abuse research.Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School. His research deals with clustered data analysis, surveillance, and epidemiological applications in projects ranging from vaccine and bioterrorism surveillance to observational epidemiology to individual-, practice-, and community-randomized interventions. Table of Contents Data Input and Output. Data Management. Statistical and Mathematical Functions. Programming and Operating System Interface. Common Statistical Procedures. Linear Regression and ANOVA. Regression Generalizations and Modeling. A Graphical Compendium. Graphical Options and Configuration. Simulation. Special Topics. Case Studies. Appendices. Review "The second edition of the book preserves the many good points of the first, and makes some improvements to the structure, e.g., on the graphical compendium. It also contains added material on more recent possibilities…is a good buy, if the goal is to have a reference book which allows to quickly find a way of accomplishing a task at hand in R, be it with or without RStudio."— Ulrike Grömping, Beuth University of Applied Sciences Berlin, Journal of Statistical Software, November 2015"… the book is easy to use. I have had it on my desk for the past few weeks and it has become invaluable. For those, like me, who find themselves regularly switching between R, MATLAB, and Python—or similar packages—it can save a lot of time."—Significance Magazine, February 2016 Praise for the First Edition:This book is an excellent reference resource. Used this way, it can be helpful for years to come for both experienced and novice users. The organization of the material makes it easy to find the relevant piece of information either by topic (from the table of contents) or using one of the indexes. The task entries are self-contained. Users with experience in technical computing may use it as a quick starter in R, as well.—Georgi N. Boshnakov, Journal of Applied Statistics, June 2012This book provides a concise reference and annotated examples for R … . It is needed because R does not come with a coordinated manual … It is much easier to find information in Horton and Kleinmans book because of their more detailed indices and table of contents. … Horton and Kleinman have succeeded very well in their goal of providing a concise reference manual and annotated examples. If you know the statistics (or can look them up) and have some experience using R, it is an extremely useful reference, and it has become my most consulted R book. … it would be an excellent reference for those wanting look up the syntax of a command together with an example of how to use it. It is also very useful if you cannot remember the command and want to know how to do it in R.—Paul H. Geissler, The American Statistician, November 2011The interesting aspect of the book is that it does not only describe the basic statistics and graphics function of the basic R system but it describes the use of 40 additional available from the CRAN website. The website contains also the R code to install all the packages that contain the described features. In summary, the book is a useful complement to introductory statistics books and lectures … Those who know R might get additional hints on new features of statistical analyses.—International Statistical Review (2011), 79 Details ISBN0367738465 Author Ken Kleinman Publisher Taylor & Francis Ltd Year 2020 ISBN-10 0367738465 ISBN-13 9780367738464 Publication Date 2020-12-18 UK Release Date 2020-12-18 Edition 2nd Format Paperback Place of Publication London Country of Publication United Kingdom AU Release Date 2020-12-18 NZ Release Date 2020-12-18 Pages 316 Edited by Raymond Paizo Staff Birth 1954 Death 1927 Affiliation International Director; Emeritus Professor of Tropical Medicine, Royal College of Physicians; University of Oxford, UK Position International Director; Emeritus Professor of Tropical Medicine Qualifications OBE MD Dsc Frcp F Med Sci Frs Edition Description 2nd edition Alternative 9780367241759 DEWEY 519.2 Audience Tertiary & Higher Education Imprint Chapman & Hall/CRC We've got this At The Nile, if you're looking for it, we've got it. 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