Using R and RStudio for data management, statistical analysis, and graphics. (2015)

• Record Type: Book
• Uniform Title: Using R for data management, statistical analysis, and graphics
• Further Information: Note: Nicholas J. Horton, Ken Kleinman.
• Authors: Horton, Nicholas J; Kleinman, Ken
• Contents: Data Input and Output; Input; Output; Further resources Data Management; Structure and metadata; Derived variables and data manipulation; Merging, combining, and subsetting datasets; Date and time variables; Further resources; Examples Statistical and Mathematical Functions ; Probability distributions and random number generation; Mathematical functions; Matrix operations; Examples Programming and Operating System Interface; Control flow, programming, and data generation; Functions; Interactions with the operating system Common Statistical Procedures; Summary statistics; Bivariate statistics; Contingency tables; Tests for continuous variables; Analytic power and sample size calculations; Further resources; Examples Linear Regression and ANOVA; Model fitting; Tests, contrasts, and linear functions of parameters; Model results and diagnostics; Model parameters and results; Further resources; Examples Regression Generalizations and Modeling ; Generalized linear models; Further generalizations; Robust methods; Models for correlated data; Survival analysis; Multivariate statistics and discriminant procedures; Complex survey design; Model selection and assessment; Further resources; Examples A Graphical Compendium ; Univariate plots; Univariate plots by grouping variable; Bivariate plots; Multivariate plots; Special-purpose plots; Further resources; Examples Graphical Options and Configuration ; Adding elements; Options and parameters; Saving graphs Simulation ; Generating data; Simulation applications; Further resources Special Topics; Processing by group; Simulation-based power calculations; Reproducible analysis and output; Advanced statistical methods; Further resources Case Studies; Data management and related tasks; Read variable format files; Plotting maps; Data scraping; Text mining; Interactive visualization; Manipulating bigger datasets; Constrained optimization: the knapsack problem Appendix A: Introduction to R and RStudio; Appendix B: The HELP Study Dataset; Appendix C: References; Appendix D: Indices
• Edition: 2nd edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 005.55; R (Computer program language); Database management; Statistics -- Data processing
• Languages: English
• ISBNs: 9781482237375
• Related ISBNs: 9781482237368
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.