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Using R for Time Series Analysis
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By Avril Coghlan, Wellcome Trust Sanger Institute, Cambridge, U.K. Email: alc@sanger.ac.uk
This is a simple introduction to multivariate analysis using the R statistics software.
There is a pdf version of this booklet available at: https://media.readthedocs.org/pdf/little-book-of-r-for-multivariate-analysis/latest/little-book-of-r-for-multivariate-analysis.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 time series analysis, http://a-little-book-of-r-for-time-series.readthedocs.org/.
Contents:
Using R for Multivariate Analysis
Calculating Summary Statistics for Multivariate Data
Between-groups Variance and Within-groups Variance for a Variable
Between-groups Covariance and Within-groups Covariance for Two Variables
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.
https://blog.sciencenet.cn/blog-645611-676784.html
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