Many textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is a book about how to use regression to solve real problems of comparison, estimation, prediction, and causal inference. It focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use fresh out of the box.
The PDF is free to download for personal use only. Not for re-distribution, re-sale or use in derivative works.
Created by Alboukadel Kassambara, STHDA is a training website on data science. It contains many tutorials on data analysis and visualization using R software and packages.
This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
This book provides a helpful resource for anyone looking to use R for their research projects, regardless of their level of programming or statistical analysis experience. Each chapter presents essential concepts in data analysis in a concise, thorough, and user-friendly manner. R4NP will guide you through your first steps on a possibly endless journey full of ‘awe and wonder’.
This book is designed to be accessible to beginners while also providing valuable insights for experienced analysts looking to transition to R from other computational software. You don’t need any prior knowledge or programming skills to get started. R4NP provides a comprehensive entry into R programming, regardless of your background.
Interlibrary Loan
If you need a book or article that we don't have, you can get it via Interlibrary Loan Details (ILL).
Has over 246 million bibliographic records of books, websites and Internet resources, computer programs, films and slides, journals, magazines, manuscripts, maps, musical scores, newspapers, sound recordings, and videotapes.
Format: Citations, Coverage: Before 1000 B.C.E. to present, Truncation and Wildcard: * and # or ?, Search Tips: After searching, use 'Related Subjects' for additional subject search terms. Omit punctuation (apostrophes, commas, etc.), but may use ampersands and hyphens. Enter a space instead of a slash. Search names as Lastname Firstname Middlename without commas. '?Help' link is on each screen.
Use Statistical Methods Social Sciences as a subject phrase in your search. Allow 2-3 weeks for ILL.