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.

Working with Date and Time Data

Working with date and time data

Dates have traditionally proven something of a problem for computer geeks. They are, after all, the clever folk who didn't realize when setting up their database programs in the 1970s that the year 2000 would likely come along and make two-digit date codes not only dysfunctional but also possibly catastrophic.

In this chapter, we are going to look at the general and surprisingly challenging problems of dealing with date and time data. We'll start by looking at the different ways R represents time measurements and facilitates operations on this kind of data. Then, we'll look at the associated issues of working with time series, which are data characterized ...

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