我正在使用prcomp
函数在R中应用pca。调用summary(mypca)
会重新调整组件的重要性(解释的方差比例),但我找不到检索这些主要组件的方法。有办法吗?
答案 0 :(得分:2)
str(mypca)
会指向x
组件
prcomp(USArrests, scale = TRUE)$x
PC1 PC2 PC3 PC4
Alabama -0.97566045 1.12200121 -0.43980366 0.154696581
Alaska -1.93053788 1.06242692 2.01950027 -0.434175454
Arizona -1.74544285 -0.73845954 0.05423025 -0.826264240
Arkansas 0.13999894 1.10854226 0.11342217 -0.180973554
California -2.49861285 -1.52742672 0.59254100 -0.338559240
Colorado -1.49934074 -0.97762966 1.08400162 0.001450164
Connecticut 1.34499236 -1.07798362 -0.63679250 -0.117278736
Delaware -0.04722981 -0.32208890 -0.71141032 -0.873113315
Florida -2.98275967 0.03883425 -0.57103206 -0.095317042
答案 1 :(得分:1)
我想你正在寻找$rotation
:
res <- prcomp(USArrests, scale = TRUE)
res$rotation
# PC1 PC2 PC3 PC4
# Murder -0.5358995 0.4181809 -0.3412327 0.64922780
# Assault -0.5831836 0.1879856 -0.2681484 -0.74340748
# UrbanPop -0.2781909 -0.8728062 -0.3780158 0.13387773
# Rape -0.5434321 -0.1673186 0.8177779 0.08902432