Book Review: Applied Time Series Analysis With R. Second Edition.

1 Biology, YorkU, Toronto, ON, Canada
2 UCSB, The National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, USA
DOI
10.7287/peerj.preprints.26842v1
Published
Accepted
Subject Areas
Bioinformatics, Computational Biology, Data Science
Keywords
book review, statistics, time series, rstats, R programming language, CRAN
Copyright
© 2018 Lortie
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Lortie CJ. 2018. Book Review: Applied Time Series Analysis With R. Second Edition. PeerJ Preprints 6:e26842v1

Abstract

Many data include time or have longitudinal dimensionalilty. When these data include an index of time, i.e. measures at regular or periodically successive intervals, statistics that use time sequencing in some capacity are appropriate. Consequently, investing time into a comprehensive text on these topics is not lost time. The second edition of Applied Time Series Analysis With R is reviewed. The benefits of digesting this text relative to other contributions is evaluated, the extent of expertise is summarized, and the structure including key topics of the book are described.

Author Comment

This is a book review to be submitted to JSS.