Welcome to a Little Book of R for Time Series!

By Avril Coghlan, Parasite Genomics Group, Wellcome Trust Sanger Institute, Cambridge, U.K. Email: alc@sanger.ac.uk

This is a simple introduction to time series analysis using the R statistics software.

There is a pdf version of this booklet available at https://media.readthedocs.org/pdf/a-little-book-of-r-for-time-series/latest/a-little-book-of-r-for-time-series.pdf.

If you like this booklet, you may also like to check out my booklet on using R for biomedical statistics, http://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/, and my booklet on using R for multivariate analysis, http://little-book-of-r-for-multivariate-analysis.readthedocs.org/.



I am grateful to Professor Rob Hyndman, for kindly allowing me to use the time series data sets from his Time Series Data Library (TSDL) in the examples in this booklet.

Thank you to Noel O’Boyle for helping in using Sphinx, http://sphinx.pocoo.org, to create this document, and github, https://github.com/, to store different versions of the document as I was writing it, and readthedocs, http://readthedocs.org/, to build and distribute this document.


I will be very grateful if you will send me (Avril Coghlan) corrections or suggestions for improvements to my email address alc@sanger.ac.uk


The content in this book is licensed under a Creative Commons Attribution 3.0 License.