Statistical Analysis with R Essentials For DummiesКНИГИ » ПРОГРАММИНГ
Название: Statistical Analysis with R Essentials For Dummies Автор: Joseph Schmuller Издательство: For Dummies Год: 2024 Страниц: 192 Язык: английский Формат: pdf, epub (true), mobi Размер: 10.1 MB
The easy way to get started coding and analyzing data in the R programming language.
Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R?the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers.
As the title indicates, this book covers the essentials of statistics and R. Although it’s designed to get you up and running in a hurry, and to quickly answer your questions, it’s not just a cookbook. Before I tell you about one of R’s features, I give you the statistical foundation it’s based on. My goal is that you understand that feature when you use it — and that you use it effectively. In the proper context, R can be a great tool for learning statistics and for refreshing what you already know. I’ve tried to supply that context in this book.
Although the development of statistics concepts proceeds in a logical way, I organized this book so you can open it up in any chapter and start reading. The idea is for you to quickly find what you’re looking for and use it immediately — whether it’s a statistical concept or an R feature. On the other hand, cover-to-cover is okay if you’re so inclined. If you’re a statistics newbie and you have to use R to analyze your data, I recommend you begin at the beginning. One caveat: I don’t cover R graphics. Although graphics are a key feature of R, I confined this book to statistics concepts and how R implements them.
Get a quick and thorough intro to the basic concepts of coding for data analysis in R Review what you've already learned or pick up essential new skills Perform statistical analysis for school, business, and beyond with R programming Keep this concise reference book handy for jogging your memory as you work
This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job.
Introduction Chapter 1: Data, Statistics, and Decisions Chapter 2: Introducing R Chapter 3: Digging Deeper Into R Chapter 4: Finding Your Center Chapter 5: Deviating from the Average Chapter 6: Standards, Standings, and Summaries Chapter 7: What’s Normal? Chapter 8: The Confidence Game: Estimation Chapter 9: One-Sample Hypothesis Testing Chapter 10: Two-Sample Hypothesis Testing Chapter 11: Testing More Than Two Samples Chapter 12: Linear Regression Chapter 13: Correlation: The Rise and Fall of Relationships Chapter 14: Ten Valuable Online Resources Index
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