These pages have some introductions to a wide range of commonly used statistical analyses in the environmental sciences.

Some simple hypothesis tests with the *t* statistic:

- One sample t tests – contrasting a single sample parameter to a population parameter
- Independent samples – contrasting the means of two samples
- Paired t-tests – contrasting two groups when data are paired

- Linear regression
- Analysis of variance: single factor
- Analysis of variance: factorial
- Understanding interactions

- Generalised linear models 1: Introduction and binomial data
- Generalised linear models 2: Count data

- Mixed models 1: Linear mixed models with one random effect
- Mixed models 2: Linear mixed models with several random effects
- Mixed models 3: Generalised linear mixed models

Power analyses: calculating power and deciding on sample sizes

Introduction to mvabund: model-based analysis of multivariate abundance data

- Meta-analyses 1: introduction and calculating effect sizes
- Meta-analyses 2: Fixed effect and random effect models
- Meta-analyses 3: More complex models

Last updated:

`## [1] "Tue Oct 31 16:53:02 2017"`