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4.11 Example: Associations between species
It is instructive to consider some additional examples of the test of association where the varia...
4.10 Example: Ekofisk diversity
To demonstrate the test of association, we shall re-visit a dataset of macrofauna assemblages col...
4.8 Example: Sizes of oysters
To demonstrate the Kolmogorov-Smirnov test in PRIMER, we shall return to the dataset consisting o...
4.6 Example: A bivalve species from Ekofisk
We will use the Kruskal-Wallis test to compare counts of a bivalve species, Abra prismatica, occu...
4.4 Example: Snapper in marine reserves
As an example of the Mann-Whitney U test, we will look at a dataset consisting of counts of the s...
4.2 Example: Plankton hauls
An example of a paired design with two groups is provided by , who described a study by to inves...
3.3 Example: Violin plot of kelp holdfast volumes
studied organisms colonising holdfasts of the kelp, Ecklonia radiata, sampled from four differen...
3.2 Example: Dotplot of oyster sizes
Let's re-visit the data on oyster sizes (,). We have already seen some variation in the cumulativ...
2.2 Example: Empirical distributions of oyster sizes
To demonstrate the empirical distribution tool in PRIMER, we shall examine a dataset consisting o...
2.1 What is an empirical distribution?
Overview What is an empirical distribution? The empirical distribution of a variable is able to b...
1.5 Environmental data: summary stats
For environmental data, we might choose to calculate different sorts of summary statistics than t...
1.4 Split summary stats results by groups
To run summary statistics on your variables separately for multiple groups of data, just choose a...
1.3 Biotic data: summary stats
To show the utility of this tool, we will calculate some summary statistics from a study examinin...
14.1 Overview
There is a new tool in PRIMER 8 that permits the end-user to create a set of ordered groups, base...
13.1 Overview
PRIMER 8 offers a host of new options for standardising data (either samples or variables), via t...
12.5 Dissimilarity-based multivariate control chart
Essential steps Suppose we have an $(N \times p)$ data matrix, $\bm{Y}$, and we can capture the i...
12.3 Classical multivariate control chart
A suitable criterion for a control chart designed to detect shifts in the population mean vector ...
12.2 Classical univariate control chart
A classical univariate control chart arises in the context of process control for industrial and ...
12.1 Overview - Control charts
Rationale Suppose you have multivariate data (e.g., abundances of multiple species) sampled repea...
10.1 Ordinations for multi-factor designs
Rationale When considering the response of a whole set of variables (such as the abundances of sp...