Calculate the mean weight of the community

Calculates the mean weight of the community through time. This is simply the total biomass of the community divided by the abundance in numbers. You can specify minimum and maximum weight or length range for the species. Lengths take precedence over weights (i.e. if both min_l and min_w are supplied, only min_l will be used). You can also specify the species to be used in the calculation.

getMeanWeight(sim, species = 1:nrow(sim@params@species_params), ...)

Arguments

sim	A MizerSim object
species	Numeric or character vector of species to include in the calculation.
...	Arguments passed on to get_size_range_array min_w Smallest weight in size range. Defaults to smallest weight in the model. max_w Largest weight in size range. Defaults to largest weight in the model. min_l Smallest length in size range. If supplied, this takes precedence over min_w. max_l Largest length in size range. If supplied, this takes precedence over max_w.

Value

A vector containing the mean weight of the community through time

See also

Other functions for calculating indicators: getCommunitySlope(), getMeanMaxWeight(), getProportionOfLargeFish()

Examples

if (FALSE) {
data(NS_species_params_gears)
data(inter)
params <- newMultispeciesParams(NS_species_params_gears, inter)
sim <- project(params, effort=1, t_max=10)
getMeanWeight(sim)
getMeanWeight(sim, species=c("Herring","Sprat","N.pout"))
getMeanWeight(sim, min_w = 10, max_w = 5000)
}