Data Analysis for the Life Sciences with R.

by Irizarry, Rafael A.

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Title Statements

Full title :Data Analysis for the Life Sciences with R.

Edition Statements

Publication Date:2016.

Publication Statements

Publisher(s):CRC Press
Place of Publication:Milton
Language:eng
Publication Date:2016.

Notes

8.12. Principal Component Analysis.

The Physical Object

Description:1 online resource (376 pages)

Edition Identifiers

ISBN:9781498775687, 1498775683
oclc:ocn960759918
LC Classification:QH315.I759 2017
Dewey Decimal:570.72

Cover; Half Title; Title Page; Copyright Page; Contents; List of Figures; Acknowledgments; Introduction; 1. Getting Started; 1.1. Installing R; 1.2. Installing RStudio; 1.3. Learn R Basics; 1.4. Installing Packages; 1.5. Importing Data into R; 1.6. Exercises; 1.7. Brief Introduction to dplyr; 1.8. Exercises; 1.9. Mathematical Notation; 2. Inference; 2.1. Introduction; 2.2. Random Variables; 2.3. The Null Hypothesis; 2.4. Distributions; 2.5. Probability Distribution; 2.6. Normal Distribution; 2.7. Exercises; 2.8. Populations, Samples and Estimates; 2.9. Exercises.

2.10. Central Limit Theorem and t-distribution2.11. Exercises; 2.12. Central Limit Theorem in Practice; 2.13. Exercises; 2.14. t-tests in Practice; 2.15. The t-distribution in Practice; 2.16. Confidence Intervals; 2.17. Power Calculations; 2.18. Exercises; 2.19. Monte Carlo Simulation; 2.20. Parametric Simulations for the Observations; 2.21. Exercises; 2.22 Permutation Tests; 2.23. Exercises; 2.24. Association Tests; 2.25. Exercises; 3. Exploratory Data Analysis; 3.1. Quantile Quantile Plots; 3.2. Boxplots; 3.3. Scatterplots and Correlation; 3.4. Stratification.

3.5. Bivariate Normal Distribution3.6. Plots to Avoid; 3.7…