I have written a great many pages on particular aspects of statistical methods. Some of these, but not all, are given on the left side of this page. Recently I have decided to organize them into categories that pull together a variety of concepts. The organization may look more like a textbook, of which I have written two, but the level varies across topics. Many of these are directed at specific questions people have asked me or at more advanced procedures, but my goal is to keep them accessible to most readers.
The first partition references sets of pages that I have created for textbooks that I have written. They cover topics that are quite central to those books, such as Datasets, Errata, Student Manuals, and the like. I am listing those main pages here mainly for ease of accessability. You will see two sets of pages for the Statistical Methods book, because the 8th is the current edition, and the 9th is a "wanna-be."
A large number of these pages contains code written in R. It is sometimes difficult to know where to file them in this list. Some are very specific to learning R, and some are more general and just show the code to produce the examples that I am writing about. The material that is specific to obtaining R and learning to do fairly simple coding is separated from coding that applies more specifically to individual topics.
R is a programming or coding language that has become very popular in statistical analyses. Its use goes way beyond standard statistical procedures, and it will do just about anything that you wish done. I give references to good sources, and more are being produced all the time. I have found that if I have a problem with R I am generally better off searching Google than I am using the help files incorporated into R unless my question is very specific, and even there, Google often wins.
If there is a topic you would like some help on, let me know. I don't promise that I can answer every question, or produce a page for every example, but you can ask and I'll see what I can do.