ggsimrelplot | R Documentation |
Simulation Plot with ggplot: The true beta, relevant component and eigen structure
ggsimrelplot( obj, ncomp = min(obj$p, obj$n, 20), which = 1L:3L, layout = NULL, print.cov = FALSE, use_population = TRUE )
obj |
A simrel object |
ncomp |
Number of components to plot |
which |
A character indicating which plot you want as output, it can take |
layout |
A layout matrix of how to layout multiple plots |
print.cov |
Output estimated covariance structure |
use_population |
Logical, TRUE if population values should be used and FALSE if sample values should be used |
A list of plots
sim.obj <- simrel(n = 50, p = 16, q = c(3, 4, 5), relpos = list(c(1, 2), c(3, 4), c(5, 7)), m = 5, ypos = list(c(1, 4), 2, c(3, 5)), type = "multivariate", R2 = c(0.8, 0.7, 0.9), gamma = 0.8) ggsimrelplot(sim.obj, layout = matrix(c(2, 1, 3, 1), 2)) ggsimrelplot(sim.obj, which = c(1, 2), use_population = TRUE) ggsimrelplot(sim.obj, which = c(1, 2), use_population = FALSE) ggsimrelplot(sim.obj, which = c(1, 3), layout = matrix(c(1, 2), 1))
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