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.
By:
Joseph Schmuller
Imprint: For Dummies
Country of Publication: United States
Dimensions:
Height: 234mm,
Width: 188mm,
Spine: 38mm
Weight: 930g
ISBN: 9781119983699
ISBN 10: 111998369X
Pages: 688
Publication Date: 20 January 2023
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
Introduction 1 Book 1: Introducing R 5 Chapter 1: R: What It Does and How It Does It 7 Chapter 2: Working with Packages, Importing, and Exporting 37 Book 2: Describing Data 51 Chapter 1: Getting Graphic 53 Chapter 2: Finding Your Center 93 Chapter 3: Deviating from the Average 103 Chapter 4: Meeting Standards and Standings 113 Chapter 5: Summarizing It All 125 Chapter 6: What’s Normal? 145 Book 3: Analyzing Data 163 Chapter 1: The Confidence Game: Estimation 165 Chapter 2: One-Sample Hypothesis Testing 181 Chapter 3: Two-Sample Hypothesis Testing 207 Chapter 4: Testing More than Two Samples 233 Chapter 5: More Complicated Testing 257 Chapter 6: Regression: Linear, Multiple, and the General Linear Model 279 Chapter 7: Correlation: The Rise and Fall of Relationships 315 Chapter 8: Curvilinear Regression: When Relationships Get Complicated 335 Chapter 9: In Due Time 359 Chapter 10: Non-Parametric Statistics 371 Chapter 11: Introducing Probability 393 Chapter 12: Probability Meets Regression: Logistic Regression 415 Book 4: Learning from Data 423 Chapter 1: Tools and Data for Machine Learning Projects 425 Chapter 2: Decisions, Decisions, Decisions 449 Chapter 3: Into the Forest, Randomly 467 Chapter 4: Support Your Local Vector 483 Chapter 5: K-Means Clustering 503 Chapter 6: Neural Networks 519 Chapter 7: Exploring Marketing 537 Chapter 8: From the City That Never Sleeps 557 Book 5: Harnessing R: Some Projects to Keep You Busy 573 Chapter 1: Working with a Browser 575 Chapter 2: Dashboards — How Dashing! 603 Index 639
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.
