# Compare PCA to LRA on the Freestone primary class composition data
# following Baxter & Freestone (2006)
# (do not exclude compositional outliers)
data(glass)
glass %>%
dplyr::filter(Site != "Banias") %>%
dplyr::mutate(Type = dplyr::case_when(
Site == "Dor" ~ "Levantine I",
Site == "Apollonia" ~ "Levantine I",
Site == "Bet Eli'ezer" ~ "Levantine II"
)) %>%
print() -> levantine_glass
# scaled principal components analysis
levantine_glass %>%
dplyr::select(SiO2, Al2O3, CaO, FeO, MgO) %>%
princomp(cor = TRUE) %>%
as_tbl_ord() %>%
augment() %>%
cbind_rows(dplyr::select(levantine_glass, Site, Type)) %>%
print() -> glass_pca
ggbiplot(glass_pca) +
geom_rows_point(aes(shape = Site, color = Type))
# completely compositional log-ratio analysis
levantine_glass %>%
dplyr::select(SiO2, Al2O3, CaO, FeO, MgO) %>%
lra(compositional = TRUE) %>%
as_tbl_ord() %>%
confer_inertia("rows") %>%
cbind_rows(dplyr::select(levantine_glass, Site, Type)) %>%
print() -> glass_lra
ggbiplot(glass_lra, sec.axes = "cols", scale.factor = .05) +
geom_rows_point(aes(shape = Site, color = Type)) +
geom_cols_vector() +
geom_cols_text(aes(label = .name), hjust = "outward", vjust = "outward") +
expand_limits(x = c(-.2, .2))
# completely compositional log-ratio analysis with FeO and MgO excluded
levantine_glass %>%
dplyr::select(SiO2, Al2O3, CaO) %>%
lra(compositional = TRUE) %>%
as_tbl_ord() %>%
confer_inertia("rows") %>%
cbind_rows(dplyr::select(levantine_glass, Site, Type)) %>%
print() -> glass_lra
ggbiplot(glass_lra, sec.axes = "cols", scale.factor = .05) +
geom_rows_point(aes(shape = Site, color = Type)) +
geom_cols_vector() +
geom_cols_text(aes(label = .name), hjust = "outward", vjust = "outward") +
expand_limits(x = c(NA, .2))
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