Factorial eigenvalue plot

Source: R/plot_eigen.R

Provide plots based on the factorial eigenvalues of a pcfa objects.

plot_eigen(obj, what = "trace")

Arguments

obj

A lawbl object
what

A list of options for what to plot.

  • trace: The trace of each factor's eigenvalue.

  • density: The trace of each factor's eigenvalue.

  • APSR: The pseudo Gelman-Rubin diagnostics of each factor's eigenvalue.

Examples

# \donttest{
dat <- sim18cfa0$dat
J <- ncol(dat)
K <- 3
Q<-matrix(-1,J,K);
Q[1:2,1]<-Q[7:8,2]<-Q[13:14,3]<-1


m0 <- pcfa(dat = dat, Q = Q, LD = FALSE,burn = 1000, iter = 1000)
plot_eigen(m0) # trace

plot_eigen(m0, what='density')

plot_eigen(m0, what='APSR')

# }