Statistical analysis with R (For dummies) /
Joseph Schmuller
- Hoboken, New Jersey : For Dummies, a Wiley brand, c2017
- xiii, 438 pages : illustrations ; 24 cm.
Includes index.
Chapter1.Data, statistics, and decisions -- Chapter2. R: what it does and how it does it -- Chapter3. Getting graphic -- Chapter4. Finding your center -- Chapter5. Deviating from the average -- Chapter6. Meeting standards and standings -- Chapter7. Summarizing it all -- Chapter8.What's normal? -- Chapter9. The confidence game: estimation -- Chapter10. One-sample hypothesis testing -- Chapter11. Two-sample hypothesis testing -- Chapter12. Testing more than two samples --Chapter13. More complicated testing -- Chapter14. Regression: linear, multiple, and the general linear model -- Chapter15. Correlation: the rise and fall of relationships -- Chapter16. Curvilinear regression: when relationships get complicated -- Chapter17. Introducing probability -- Chapter18.Introducing modeling -- Chapter19. Ten tips for Excel emigrés -- Chapter20. Ten valuable online R resources.
Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses--as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data--the fast and easy way!