Summary
Contents
Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz's A Survivor's Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz's easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R's powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.
Dealing with Missing Data
Dealing with Missing Data
Dealing appropriately with missing values is a critical element of any data analysis project. Once again, this is an area that is often untaught in introductory statistics classes, where data sets descend from the heavens in nice neat packages. In the real world, missing data can often present significant problems. In some areas of work, missingness can be the norm rather than an exception (Allison, 2001).
In this chapter, we'll start with a review of the issues from Chapter 4 about reading in external data that may have missing values. Once the data set is in, we'll be ready to look at some techniques for summarizing your missing data and getting a ...
