Biostatistics using R: A Laboratory Manual
Author(s): Raisa Hernández-Pacheco1, Alexis A Diaz1
California State University-Long Beach
4837 total view(s), 535 download(s)
Summary:
Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.
Contents:
- Chapter 1: Introduction to R and RStudio (v1.0)
- Chapter 2: Data sampling, accuracy, and precision (v1.0)
- Chapter 3: Visualizing data (v1.0)
- Chapter 4: Probability distributions (v1.0)
- Chapter 5: Hypothesis testing (v1.0)
- Chapter 6: Population proportions and the binomial distribution (v1.0)
- Chapter 7: The normal distribution (v1.0)
- Chapter 8: Comparing two means: the t-test (v1.0)
- Chapter 9: One-way analysis of variance (v1.0)
- Chapter 10: Two-way analysis of variance (v1.0)
- Chapter 11: Correlation and regression analyses (v1.0)
Materials.zip(ZIP | 90 MB)- License terms
Supporting Docs
- Chapter 1: Introduction to R and RStudio (v1.0)
- Chapter 2: Data sampling, accuracy, and precision (v1.0)
- Chapter 3: Visualizing data (v1.0)
- Chapter 4: Probability distributions (v1.0)
- Chapter 5: Hypothesis testing (v1.0)
- Chapter 6: Population proportions and the binomial distribution (v1.0)
- Chapter 7: The normal distribution (v1.0)
- Chapter 8: Comparing two means: the t-test (v1.0)
- Chapter 9: One-way analysis of variance (v1.0)
- Chapter 10: Two-way analysis of variance (v1.0)
- Chapter 11: Correlation and regression analyses (v1.0)
- Materials.zip(ZIP | 90 MB)