Abstract
Molecular biologists and biophysicists have a lot of data to analyze, and R has a lot of tools to help with the analysis. We will consider three major topics: summary statistics for a single group of data, statistical comparison of two samples, and analysis of spectral data. A concise and useful reference for this chapter is P. Dalgaard’s Introductory Statistics with R [15], especially Ch. 3 on “Descriptive statistics and graphics” and Ch. 4 on “One- and two-sample tests”. The standard comprehensive book on statistics using R is that by Venables and Ripley [64]. Other useful books are those by Maindonald and Braun [43], Verzani [65], and Everitt and Hothorn [23].
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© 2009 Springer-Verlag New York
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Bloomfield, V. (2009). Statistical Analysis of Data. In: Computer Simulation and Data Analysis in Molecular Biology and Biophysics. Biological and Medical Physics, Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0083-8_13
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DOI: https://doi.org/10.1007/978-1-4419-0083-8_13
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-0084-5
Online ISBN: 978-1-4419-0083-8
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