# 4. PCA分析 ---------------------------------------------------------------- library(FactoMineR) library(factoextra) dat=as.data.frame(t(exp2)) dat.pca <- PCA(dat, graph = FALSE) pca_plot <- fviz_pca_ind(dat.pca, geom.ind = "point", col.ind = group_list, palette = c("#00AFBB", "#E7B800"), addEllipses = TRUE, legend.title = "Groups" ) pca_plot2 <- pca_plot+ ggtitle("GSE13850_PCA") + theme(plot.title = element_text(hjust = 0.5)) #设置标题居中 pca_plot2 |
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