Some useful resources – Books and Websites
We will highlight a few books and websites that we find useful for applied scientists wanting to use R for their analysis.
Books – a few recent publications for experimental design and analysis
- Welham, SJ, SA Gezan, SJ Clark and A Mead. 2015. Statistical Methods in Biology: Design and Analysis of Experiments and Regression.
CRC Press - Hector, A. 2015. The New Statistics with R. Oxford University Press.
- Agresti, A. 2013. (3rd Ed.) Categorical Data Analysis. Wiley Interscience.
- Faraway, J. 2013. (2nd Ed.) Linear models with R. CRC Press.
- Maindonald J. and W.J. Braun. 2012. ( 3rd Ed.) Data Analysis and Graphics using R – an example based approach. Cambridge University Press
- Mead,R, S.G. Gilmour and A. Mead. 2012. Statistical principles for the Design of Experiments.Cambridge University Press
- Kuehl, R.O. 2000. (2nd Ed.) Design of Experiments:Statistical principles of Research Design and Analysis. Brooks/Coles.
- Kerns, G.J. 2010. Introduction to Probability and Statistics Using R (online under GNU licence)
- Other freely available e materials (online under open source licences)
Websites
- Quick R – Simple site and searchable. Useful for review of how to use statistics using R for data entry, data types and simple analysis
- Quick R Site
- R Studio – A good site and has nice A4 ‘cheatsheets’ of commands (for more advanced users !)
- R Studio Cheatsheets
- Useful Packages and about R Packages
- Packages
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