Description
From the Inside Flap Leverage R as a powerful statistical tool Leverage R as a powerful statistical tool Test your hypotheses and draw conclusions Test your hypotheses and draw conclusions Use R to give meaning to your data Use R to give meaning to your data The easy, practical guide to R R is powerful, free software for statistical analysis—full of many tools and functions. R makes it possible to carry out complex statistical analyses by simply entering a few commands. This practical, step-by-step guide explains foundational statistical concepts and shows you how to implement them. You'll be able to perform analyses, understand their implications and results, and make them available to a wide audience. Inside… How data is evaluated How data is evaluated Installing and setting up R Installing and setting up R Using R for graphing Using R for graphing All about variations and deviations All about variations and deviations How to draw conclusions How to draw conclusions Working with regression Working with regression Using non-parametric statistics Using non-parametric statistics Probability and distributions Probability and distributions Leverage R as a powerful statistical tool Leverage R as a powerful statistical tool Test your hypotheses and draw conclusions Test your hypotheses and draw conclusions Use R to give meaning to your data Use R to give meaning to your data The easy, practical guide to R R is powerful, free software for statistical analysisx97full of many tools and functions. R makes it possible to carry out complex statistical analyses by simply entering a few commands. This practical, step-by-step guide explains foundational statistical concepts and shows you how to implement them. You'll be able to perform analyses, understand their implications and results, and make them available to a wide audience. Inside… How data is evaluated How data is evaluated Installing and setting up R Installing and setting up R Using R for graphing Using R for graphing All about variations and deviations All about variations and deviations How to draw conclusions How to draw conclusions Working with regression Working with regression Using non-parametric statistics Using non-parametric statistics Probability and distributions Probability and distributions Joseph Schmuller, PhD, has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of Statistical Analysis with Excel For Dummies and three editions of Teach Yourself UML in 24 Hours (SAMS), he has created online coursework for Lynda.com and is a former Editor in Chief of PC AI magazine. He is a Research Scholar at the University of North Florida. Read more
Features & Highlights
- 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
- 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
- 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
- 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
- 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!
