R All-in-One For Dummies 1st Edition

R All-in-One For Dummies 1st Edition  – Ebook Instant Download/Delivery ISBN(s): 9781119983712, 1119983711

Product details:

• ISBN-10: 1119983711
• ISBN-13: 9781119983712
• Author: Joseph Schmuller

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.

Table contents:

Book 1: Introducing R 

Chapter 1: R: What It Does and How It Does It

Chapter 2: Working with Packages, Importing, and Exporting

Book 2: Describing Data

Chapter 1: Getting Graphic

Chapter 2: Finding Your Center

Chapter 3: Deviating from the Average

Chapter 4: Meeting Standards and Standings

Chapter 5: Summarizing It All

Chapter 6: What’s Normal?

Book 3: Analyzing Data 

Chapter 1: The Confidence Game: Estimation

Chapter 2: One-Sample Hypothesis Testing

Chapter 3: Two-Sample Hypothesis Testing

Chapter 4: Testing More than Two Samples

Chapter 5: More Complicated Testing

Chapter 6: Regression: Linear, Multiple, and the General Linear Model

Chapter 7: Correlation: The Rise and Fall of Relationships

Chapter 8: Curvilinear Regression: When Relationships Get Complicated

Chapter 9: In Due Time

Chapter 10: Non-Parametric Statistics

Chapter 11: Introducing Probability

Chapter 12: Probability Meets Regression: Logistic Regression

Book 4: Learning from Data 

Chapter 1: Tools and Data for Machine Learning Projects

Chapter 2: Decisions, Decisions, Decisions

Chapter 3: Into the Forest, Randomly

Chapter 4: Support Your Local Vector

Chapter 5: K-Means Clustering

Chapter 6: Neural Networks

Chapter 7: Exploring Marketing

Chapter 8: From the City That Never Sleeps

Book 5: Harnessing R: Some Projects to Keep You Busy

Chapter 1: Working with a Browser

Chapter 2: Dashboards — How Dashing!

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