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- Springer New York 2012; US$ 64.95
This example-based general introduction to the statistical computing environment does not assume any previous familiarity with R or other software packages. R functions are compellingly presented in the context of interesting applications with real data. more...
- Springer New York 2011; US$ 59.95
This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data. more...
- Springer New York 2012; US$ 49.95
Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social scientists a formal tool for identifying set-theoretic connections based... more...
- Business Expert Press 2012; US$ 19.95
Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data. Although some statistical... more...
- Springer US 2012; US$ 209.00
This book introduces general principles of good visualization to help readers understand and meet the need for well-designed and informative display of patient data: good graphs enabling straightforward, intuitive interpretation and efficient. more...
- Holy Macro! Books 2012; US$ 19.99
Microsoft Excel is one of the most powerful tools a business owner, manager, or new employee has at their disposal, and this guide teaches how to harness business data and put it to use. Using real-world examples of a small business in operation, the book covers topics such as preparing financial statements, how to best display data for maximum impact... more...
- No Starch Press 2011; US$ 31.95
R is the worlds most popular programming language for statistical computing. Drug developers use it to evaluate clinical trials and determine which medications are safe and effective; archaeologists use it to sift through mounds of artifacts and track the spread of ancient civilizations; and actuaries use it to assess financial risks and keep... more...