exactLTRE (version 0.1.2)

calc_matrix_effects: Effects of matrix parameters

Description

Calculate the effects of differences or variance in vital rate entries in a set of matrix population models, for a given set of interaction terms.

Usage

calc_matrix_effects(responses, list_ind_vary)

Value

A vector of effects, which are the responses due to a given interaction order, controlling for the lower-level interaction terms. These are the epsilon terms in an fANOVA decomposition.

Arguments

responses

A vector of the responses due to the parameters of a matrix population model and their interactions.

list_ind_vary

A list object, where each entry is a vector containing the indices (the combinations of the elements of ind_vary, an input parameter) that varied (were not held fixed) for the corresponding entry in the responses vector.

Examples

A1<- matrix(data=c(0,0.8,0, 0,0,0.7, 5,0,0.2), nrow=3, ncol=3)
A2<- matrix(data=c(0,0.9,0, 0,0,0.5, 4,0,0.3), nrow=3, ncol=3)
A3<- matrix(data=c(0,0.4,0, 0,0,0.6, 6,0,0.25), nrow=3, ncol=3)
A_all<- collapse_mat_list(list(A1, A2, A3))
nu_var<- calc_matrix_responses(A_all, c(2,6,7,9), FUN=lamVar, maxint="all")
nu_diff<- calc_matrix_responses(list(A1,A2), c(2,6,7,9), FUN=lamDiff_symmetric, maxint="all")
epsilon_var<- calc_matrix_effects(nu_var$nus, nu_var$list_ind_vary)
epsilon_diff<- calc_matrix_effects(nu_diff$nus, nu_diff$list_ind_vary)