SAS and R : data management, statistical analysis, and graphics /: data management, statistical analysis, and graphics. (2014)

• Record Type: Book
• Further Information: Note: Ken Kleinman, Nicholas. J Horton.
• Authors: Kleinman, Ken; Horton, Nicholas J
• Contents: Data Input and Output; Input; Output Data Management ; Structure and Meta-Data; Derived Variables and Data Manipulation; Merging, Combining, and Subsetting Datasets; Date and Time Variables Statistical and Mathematical Functions ; Probability Distributions and Random Number Generation; Mathematical Functions; Matrix Operations Programming and Operating System Interface ; Control Flow, Programming, and Data Generation; Functions and Macros; Interactions with the Operating System Common Statistical Procedures ; Summary Statistics; Bivariate Statistics; Contingency Tables; Tests for Continuous Variables; Analytic Power and Sample Size Calculations Linear Regression and ANOVA ; Model Fitting; Tests, Contrasts, and Linear Functions of Parameters; Model Diagnostics; Model Parameters and Results 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 A Graphical Compendium ; Univariate Plots; Univariate Plots by Grouping Variable; Bivariate Plots; Multivariate Plots; Special Purpose Plots Graphical Options and Configuration ; Adding Elements; Options and Parameters; Saving Graphs Simulation ; Generating Data; Simulation Applications Special Topics ; Processing by Group; Simulation-Based Power Calculations; Reproducible Analysis and Output; Advanced Statistical Methods Case Studies; Data Management and Related Tasks; Read Variable Format Files; Plotting Maps; Data Scraping and Visualization; Manipulating Bigger Datasets; Constrained Optimization: The Knapsack Problem Appendix A: Introduction to SAS ; Installation; Running SAS and a Sample Session; Learning SAS and Getting Help; Fundamental Elements of SAS Syntax; Work Process: The Cognitive Style of SAS; Useful SAS Background; Output Delivery System; SAS Macro Variables Appendix B: Introduction to R and RStudio ; Installation; Running R and Sample Session; Learning R and Getting Help; Fundamental Structures and Objects; Functions; Add-ons: Packages; Support and Bugs Appendix C: The HELP Study Dataset ; Background on the HELP Study; Roadmap to Analyses of the HELP Dataset; Detailed Description of the Dataset Appendix D: References Appendix E: Indices ; Subject Index; SAS Index ; R Index Further Resources and Examples appear at the end of most chapters.
• Edition: Second edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2014
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 005.3; SAS (Computer program language); R (Computer program language); Statistics -- Software; Statistics -- Data processing
• Languages: English
• ISBNs: 9781466584501
• Related ISBNs: 9781466584495
• 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.