In gustavobio/semeco: Examples of Structural Equation Modelling Usage in Ecology

Dados para os exercícios

santo_cov <- structure(c(0.00998001, 0.00237829932, 0.00783482733, 0.008280711, 
0.0015909075, 0.00393182424, 0.0002669328, 0.00375220404, 0.00237829932, 
0.00151321, 0.00233237398, 0.002366676, 0.00095305, 0.00224712852, 
0.00052490104, 0.00206618906, 0.00783482733, 0.00233237398, 0.00737881, 
0.006749163, 0.001569393, 0.00408061078, 0.00029838224, 0.00352408186, 
0.008280711, 0.002366676, 0.006749163, 0.0081, 0.00163485, 0.00409446, 
0.000823644, 0.002887092, 0.0015909075, 0.00095305, 0.001569393, 
0.00163485, 0.001225, 0.002984618, 0.00123914, 0.001591044, 0.00393182424, 
0.00224712852, 0.00408061078, 0.00409446, 0.002984618, 0.01119364, 
0.00329342704, 0.00360712404, 0.0002669328, 0.00052490104, 0.00029838224, 
0.000823644, 0.00123914, 0.00329342704, 0.00446224, 0.00128141104, 
0.00375220404, 0.00206618906, 0.00352408186, 0.002887092, 0.001591044, 
0.00360712404, 0.00128141104, 0.00649636), .Dim = c(8L, 8L), .Dimnames = list(
    c("Log.Mass", "Conspicuous.coloration", "Log.RMR", "Log.Scope", 
    "Alkaloid.quantity", "Alkaloid.diversity", "Ant.Mite.Specialization", 
    "log.Prey"), c("Log.Mass", "Conspicuous.coloration", "Log.RMR", 
    "Log.Scope", "Alkaloid.quantity", "Alkaloid.diversity", "Ant.Mite.Specialization", 
    "log.Prey")))

Alternativamente, em https://gist.github.com/gustavobio/c71f411e161d3852def54efa326bd5c2.

Exercícios

1. Reproduza o modelo da figura 3C do artigo utilizando os dados acima. O número de observações reportado no artigo foi 21.

gustavobio/semeco documentation built on May 17, 2019, 9:29 a.m.