Basic data analysis for time series with R / DeWayne R. Derryberry, Department of Mathematics and Statistics, Idaho State University, Voise, ID. [electronic resource] Derryberry, DeWayne R., author. Time-series analysis Data processing. R (Computer program language) QA280 001.4/2202855133 23 Includes bibliographical references and index. Print version record and CIP data provided by publisher. "This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author uses frequency- and time-domain and trigonometric regression as themes throughout the book. The content includes modern topics such as wavelets, Fourier series, and Akaike's Information Criterion (AIC), which is not typical of current-day "classics." Applications to a variety of scientific fields are showcased. Exercise sets are well crafted with the express intent of supporting pedagogy through recognition and repetition. R subroutines are employed as the software and graphics tool of choice. Brevity is a key component to the retention of the subject matter. The book presumes knowledge of linear algebra, probability, data analysis, and basic computer programming"-- Provided by publisher. "This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author uses frequency- and time-domain and trigonometric regression as themes throughout the book"-- Provided by publisher. 2014 Text 1 online resource http://onlinelibrary.wiley.com/book/10.1002/9781118593233 eng Basic data analysis for time series with R. Basic data analysis for time series with R.