Statistical Analysis with R for Dummies - 2nd Edition by Joseph Schmuller (Paperback)

Book Synopsis

Simplify stats and learn how to graph, analyze, and interpret data the easy way

Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio--two free, open-source tools--to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by learning the basics of statistics and R, calculate descriptive statistics, and use inferential statistics to test hypotheses. Then, visualize it all with graphs and charts. This Dummies guide is your well-marked path to sailing through statistics.

• Get clear explanations of the basics of statistics and data analysis
• Learn how to analyze and visualize data with R, step by step
• Create charts, graphs, and summaries to interpret results
• Explore hypothesis testing, and prediction techniques

This is the perfect introduction to R for students, professionals, and the stat-curious.

From the Back Cover

R-evolutionize your data

The R programming language simplifies statistics, data analysis, and visualization. Statistical Analysis with R(TM) For Dummies starts with the fundamentals, showing you how to use R and the RStudio application to perform basic statistical calculations. When you're comfortable with that, you can move on to more advanced testing and modeling techniques--all the while graphing and charting your results. Ace your statistics exam, boost your career, and gain valuable data analysis skills with this beginner-friendly Dummies guide.

Inside...

• Easy-to-follow examples
• Online R resources
• Creating graphs in RStudio
• Summarizing & describing data
• One- and two-sample testing
• Linear & multiple regression
• Probability and modeling
• Logistic regression analysis

About the Author

Joseph Schmuller is a cognitive scientist and statistical analyst who creates online learning tools and books on data science. He is the author of R All-in One For Dummies, all five editions of Statistical Analysis with Excel For Dummies, Statistical Analysis with R For Dummies, and R Projects For Dummies, among others.