Nothing
# multidimensional scaling of covariances
ability.cov$cov %>%
cov2cor() %>%
eigen() %>% getElement("vectors") %>%
as.data.frame() %>%
transform(test = rownames(ability.cov$cov)) ->
ability_cor_eigen
ability_cor_eigen %>%
ggplot(aes(-V1, V2, label = test)) +
coord_square() + theme_void() +
geom_vector(check_overlap = TRUE) +
scale_y_continuous(expand = expansion(mult = .2)) +
ggtitle("Ability and intelligence test covariances")
# multidimensional scaling of correlations
ability.cov$cov %>%
eigen() %>% getElement("vectors") %>%
as.data.frame() %>%
transform(test = rownames(ability.cov$cov)) ->
ability_cor_eigen
ability_cor_eigen %>%
ggplot(aes(-V1, -V2, label = test)) +
coord_square() + theme_void() +
geom_vector(check_overlap = TRUE) +
geom_unit_circle() +
expand_limits(x = c(-1, 1), y = c(-1, 1)) +
ggtitle("Ability and intelligence test covariances")
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