Furthermore, increasing fuel price negatively affected fuel consumption, especially for more powerful, larger vessels. The passive pot gear and Scottish seine gear segments indicated consistently lower consumptions, whereas dredge and pelagic gears showed consistently higher fuel consumptions. The type of gear used by a fleet segment had an important influence on fuel consumption as did the price of fuel. The predictive capabilities of the seven best models were validated against the remaining, previously un-modelled, data. Models were fitted to half of the Irish fishing vessel economic data collected between 20. This investigation explored the predictive capability of linear and generalized additive models (GAMs) in providing daily fuel consumption estimates for fishing vessels given knowledge of their length, engine power, fleet segment (annual dominant gear type), and fuel prices. Volume ~ group + s(age, by = group, k = 20, bs = "tp") +ĭoes anyone know whether comparing models is an appropriate way to study the interaction effect and how to get the actual effect? Preferably a method that I can also use for pair-wise analyses as well.Fuel costs are an important element in models used to analyse and predict fisher behaviour for application within the wider mixed fisheries and ecosystem approaches to management. but this does not give me the output I expected based on my experience comparing lm models with anova(). m2 <- gamm(volume ~ group + s(age, k = 20, bs = "tp") + scanner, data = sim.data, random=list(id=~1)) I thought of using using anova(), comparing a model with by term to a model without a by term. How can I best evaluate the interaction effect (although I also read somewhere that interaction may not be the appropriate term in this additive model)? I hoped that I could interpret the difference in development between groups with my s(age,by=group) term, however it gives me the smooth parameters of age, per group. I made a simulation dataset: library(simstudy) I want to know if the development of volume over time (and I mean age, not waves) is different between groups.
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