# compute PCA of Anderson iris measurements
iris[, -5] %>%
princomp(cor = TRUE) %>%
as_tbl_ord() %>%
confer_inertia(1) %>%
mutate_rows(species = iris$Species) %>%
mutate_cols(measure = gsub("\\.", " ", tolower(names(iris)[-5]))) %>%
print() -> iris_pca
# row-principal biplot with range-harmonized secondary axis
iris_pca %>%
ggbiplot(aes(color = species), sec.axes = "cols", scale.factor = "range") +
theme_bw() +
scale_color_brewer(type = "qual", palette = 2) +
geom_rows_point() +
geom_cols_vector(aes(label = measure), color = "#444444") +
ggtitle(
"Row-principal PCA biplot of Anderson iris measurements",
"Variable loadings scaled to secondary axes"
) +
expand_limits(y = c(-1, 3.5))
# row-principal biplot with manually rescaled secondary axis
iris_pca %>%
ggbiplot(aes(color = species), sec.axes = "cols", scale.factor = 2) +
theme_bw() +
scale_color_brewer(type = "qual", palette = 2) +
geom_rows_point() +
geom_cols_vector(aes(label = measure), color = "#444444") +
ggtitle(
"Row-principal PCA biplot of Anderson iris measurements",
"Variable loadings scaled to secondary axes"
) +
expand_limits(y = c(-1, 3.5))
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