Prepare data for Plotting Covariance Matrix

cov_plot_data(sobj, type = "relpos", ordering = TRUE, facetting = TRUE)

Arguments

sobj

A simrel object

type

Type of covariance matrix - can take two values relpos for relevant position of principal components and relpred for relevant position of predictor variables

ordering

TRUE for ordering the covariance for block diagonal display

facetting

TRUE for facetting the predictor and response space. FALSE will give a single facet plot

Value

A data frame with covariances and related values based on type argument that is ready to plot

Examples

sobj <- simrel(n = 100, p = 10, q = c(4, 5), relpos = list(c(1, 2, 3), c(4, 6, 7)), m = 3, R2 = c(0.8, 0.7), ypos = list(c(1, 3), 2), gamma = 0.7, type = "multivariate") head(cov_plot_data(sobj))
#> v1 v2 col cov facet1 facet2 #> 1 W1 W1 W1 1.0000000 W W #> 2 W1 W2 <NA> 0.0000000 W W #> 3 W1 W3 <NA> 0.0000000 W W #> 4 W1 Z1 W1 0.5488763 W Z #> 5 W1 Z10 <NA> 0.0000000 W Z #> 6 W1 Z2 W1 0.4795793 W Z