Course resources · Heath Blackmon

Statistical tests in biology

Choose the question. Match the null. Interpret the result.

What is the null? Is that my scientific question?Use the data structure, the biological question, and the assumptions to choose a method.
63methods and topics
The comprehensive deck · PowerPoint

Slides for the course

A consistent route through the data, simulation, plot, null, options, assumptions, and interpretation for every method.

Download slides

Editable source: Course.Rmd

Everything together · ZIP

The complete course folder

Slides and source, the instructor guide, 63 runnable R scripts, saved datasets, figures, results, and the files needed to rebuild them.

Download the complete course

Keep the extracted folder together so its relative file paths work.

Rebuild it in RStudio

Or use one method below ↓
  1. Download and unzip

    Get the complete course folder. In RStudio, set the working directory to the extracted folder containing Course.Rmd.

  2. Install the dependencies once

    Run this in the R console. The installer checks the packages used by the course.

    source("install_dependencies.R")
  3. Open Course.Rmd and Knit

    Each knit uses the fixed seeds to recreate and save the datasets, runs the analyses, and builds the PowerPoint deck.

To refresh the instructor guide afterward, knit Instructor-dataset-guide.Rmd. Setup files: package installer · data builder · guide builder.

Find a method

Open its guide, run its complete R script, or download the saved CSV. Each example uses simulated biological data.

Showing all 63 methods.

Means and ranks

7 methods

Variances and diagnostics

3 methods

ANOVA and comparisons

11 methods

Association and regression

5 methods

Proportions and categories

8 methods

Count and probability models

7 methods

Repeated and clustered models

6 methods

Survival

6 methods

Simulation and uncertainty

5 methods

Multiple testing

2 methods

Multivariate methods

3 methods