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An example of behaviour group ordering is given in Figure 6.
Measures of aerobic fitness, physical activity behaviour, group cohesion, interaction and communication, psychological wellbeing, health, anthropometrics and workplace experiences were recorded pre- and post-intervention.
Together these SNPs also represented the most common grouping within the most common behaviour group (B1±P) (71.4%) (Table 4).
The Insect Behaviour Group at University of Toronto at Mississauga was a valuable forum for presentation of the ideas in this work.
Behaviour phenotype analysis revealed that the rs9858542 (3p21) SNP was the most common single SNP in the most common behaviour group (B1±P) (50%), this was followed by SNP rs5743289 (NOD2) (40%) (Table 4).
The data of infants who met this criterion, from both the behaviour group, and the control group, were then compared.
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One or many behaviour groups can be defined within a single factory.
Each BehaviourFactory creates a set of behaviours, and groups them into named behaviour groups, which are used to help order the execution of the behaviours within one timestep.
In the example given in Figure 6, the ordering argument in the command line looks like: Figure 6 Example of ordering of behaviours within and amongst behaviour groups.
The ordering of the behaviour groups is set through an argument in the command line, followed by the name of the behaviour factory.
It shows three behaviour groups, two of which can be run in parallel (BehaviourGroup A and BehaviourGroup B), that is with no particular order, with the third one requiring its behaviour to be called after both of them.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com