Introduces R, a free software system for data analysis and graphics with over 4.000 add-on packages. Demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions.
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Introduces R, a free software system for data analysis and graphics with over 4,000 add-on packages. Demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions.
Competing risks and multistate models with R
by Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin
fromUse R!
0
Type: Book
Competing Risks and Multistate Models with R covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate…
Résumé : <p>Competing Risks and Multistate Models with R covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R an…
Competing risks and multistate models with R
by Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin
fromUse R!
0
Type: Book
Competing risks and multistate models with R
by Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin
fromUse R!
0
Type: Book
Competing Risks and Multistate Models with R covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate…
Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover.
Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover
Shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python -- Back cover.
"Think Stats: Probability and Statistics for Programmers is a textbook for a new kind of introductory prob-stat class. It emphasizes the use of statistics to explore large datasets. It takes a computation approach: students write programs in Python as a way of developing and tes…
Harness the power of Excel to discover what your numbers are hiding Excel Data Analysis For Dummies, 2nd Edition is the ultimate guide to getting the most out of your data. Veteran Dummies author Stephen L. Nelson guides you through the basic and not-so-basic features of Excel t…
Résumé : R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of th…