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| rm(list = ls())
library(vegan)
library(ggplot2)
library(ggprism)
library(FactoMineR)
library(factoextra)
data("iris")
res.pca <- PCA(iris[, 1:4], graph = FALSE)
contribution <- fviz_pca_var(res.pca, col.var = "contrib")
contribution$data %>%
dplyr::arrange(-contrib) %>%
dplyr::slice(1:2) %>%
ggplot(aes(contrib, name)) +
geom_bar(stat = "identity", width = 0.6) +
scale_fill_prism() +
guides(x = "prism_offset_minor", y = "prism_offset") +
labs(x = "Contribution", y = "Variable") +
theme_prism(base_size = 12)
|
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