R All-in-One For Dummies
- 7h 55m
- Joseph Schmuller
- John Wiley & Sons (US)
- 2023
A deep dive into the programming language of choice for statistics and data
With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R.
- Grasp the basics of the R programming language and write your first lines of code
- Understand how R programmers use code to analyze data and perform statistical analysis
- Use R to create data visualizations and machine learning programs
- Work through sample projects to hone your R coding skill
This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.
About the Author
Joseph Schmuller is a cognitive scientist and statistical analyst. His recent work in the For Dummies series includes the 5th edition of Statistical Analysis with Excel For Dummies along with Statistical Analysis with R For Dummies and R Projects For Dummies.
In this Book
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Introduction
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R—What it Does and How it Does It
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Working with Packages, Importing, and Exporting
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Getting Graphic
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Finding Your Center
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Deviating from the Average
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Meeting Standards and Standings
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Summarizing it All
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What’s Normal?
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The Confidence Game—Estimation
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One-Sample Hypothesis Testing
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Two-Sample Hypothesis Testing
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Testing More Than Two Samples
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More Complicated Testing
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Regression—Linear, Multiple, and the General Linear Model
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Correlation—The Rise and Fall of Relationships
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Curvilinear Regression—When Relationships Get Complicated
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In Due Time
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Non-Parametric Statistics
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Introducing Probability
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Probability Meets Regression—Logistic Regression
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Tools and Data for Machine Learning Projects
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Decisions, Decisions, Decisions
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Into the Forest, Randomly
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Support Your Local Vector
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K-Means Clustering
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Neural Networks
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Exploring Marketing
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From the City That Never Sleeps
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Working with a Browser
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Dashboards—How Dashing!
