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.
Getting your Data Into R
Getting your Data Into R
Data management and analysis starts with data. The world is increasingly full of data; but it doesn't do you any good if you can't get them from where they are to where you need them, which is in some R objects. Needless to say, if the data don't come into R correctly, it is even worse than not having them at all. In this chapter, we'll go over the most important and common methods for getting data into the R environment. These methods fall into three basic classes: (1) entering data by hand, (2) creating data within the R environment, and (3) importing data from other data sets.
