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The book focuses on good programming and coding practice for producing data sets for later analyses, using simulation studies to explore statistical concepts and employing... Læs mere
This primer provides an introduction to MATLAB® version 8 for statistics. It covers capabilities in the Statistics Toolbox. The student version presents discusses how... Læs mere
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects.
Brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow.
This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics.
This work presents content/techniques by progressively building upon earlier introduced ideas on using R as new ideas are introduced. The emphasis is on computational steps and coding strategies associated with methods presented.
The rmarkdown package has steadily evolved into a relatively complete ecosystem for authoring documents. This book provides a definitive guide to this ecosystem.
"Published with arrangement with the original publisher, Beijing Huazhang Graphics and Information Company"--Title page verso.