Schmuller, Joseph
Statistical Analysis with R For Dummies
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!
Keywords: Statistical Analysis; R; statistical analysis with R; guide to R; R functions; R functions and procedures; statistical concepts; R programming; programming with R; free statistical software; free statistics software; data science; data science software tool; R Studio; using R Studio; using R Studio with R; predictive modeling; Statistical Analysis with R For Dummies; Joseph Schmuller, Statistical Software / R
- Author(s)
- Schmuller, Joseph
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Page amount
- 456 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (ePUB)
- 9781119337263
- Printed ISBN
- 9781119337065