By: Nicholas Horton and Ken Kleinman
275 pages, 35 illus, 8 tabs
Organized by analytic task, this compendium provides a concise yet thorough overview of the use of R for data management, statistical analysis, and graphics.
Through simple code and worked examples, the text demonstrates how to undertake common tasks, ranging from matrix operations and linear regression to model diagnostics and multivariate statistics. It includes a subject index, R command index, and extensive cross-referencing, enabling readers to locate the required code very easily. The code is supported by detailed worked examples, including plenty of output to show how the methods can be put into practice.
Common Statistical Procedures.
Linear Regression and ANOVA.
Other Topics and Extended Examples.
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