检索R中的主成分
我使用检索R中的主成分,r,pca,R,Pca,我使用prcomp函数在R中应用pca。调用summary（mypca）returs组件的重要性（解释的方差比例），但我找不到检索这些主组件的方法。有办法吗？我想您正在寻找$rotation： res <- prcomp(USArrests, scale = TRUE) res$rotation # PC1 PC2 PC3 PC4 # Murder -0.5358995 0.4181809 -0.34123
prcompsummary（mypca）$rotationres <- prcomp(USArrests, scale = TRUE)
res$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
res我想您正在寻找$rotation
：
res <- prcomp(USArrests, scale = TRUE)
res$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
res我想您正在寻找$rotation
：
res <- prcomp(USArrests, scale = TRUE)
res$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
res我想您正在寻找$rotation
：
res <- prcomp(USArrests, scale = TRUE)
res$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
resstr（mypca）
会将您指向x
组件
prcomp(USArrests, scale = TRUE)$x
PC1 PC2 PC3 PC4
Alabama -0.97566045 1.12200121 -0.43980366 0.154696581
Alaska -1.93053788 1.06242692 2.01950027 -0.434175454
Arizona -1.74544285 -0.73845954 0.05423025 -0.826264240
Arkansas 0.13999894 1.10854226 0.11342217 -0.180973554
California -2.49861285 -1.52742672 0.59254100 -0.338559240
Colorado -1.49934074 -0.97762966 1.08400162 0.001450164
Connecticut 1.34499236 -1.07798362 -0.63679250 -0.117278736
Delaware -0.04722981 -0.32208890 -0.71141032 -0.873113315
Florida -2.98275967 0.03883425 -0.57103206 -0.095317042
str（mypca）
会将您指向x
组件
prcomp(USArrests, scale = TRUE)$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
str（mypca）
会将您指向x
组件
prcomp(USArrests, scale = TRUE)$x
PC1 PC2 PC3 PC4
Alabama -0.97566045 1.12200121 -0.43980366 0.154696581
Alaska -1.93053788 1.06242692 2.01950027 -0.434175454
Arizona -1.74544285 -0.73845954 0.05423025 -0.826264240
Arkansas 0.13999894 1.10854226 0.11342217 -0.180973554
California -2.49861285 -1.52742672 0.59254100 -0.338559240
Colorado -1.49934074 -0.97762966 1.08400162 0.001450164
Connecticut 1.34499236 -1.07798362 -0.63679250 -0.117278736
Delaware -0.04722981 -0.32208890 -0.71141032 -0.873113315
Florida -2.98275967 0.03883425 -0.57103206 -0.095317042
str（mypca）
会将您指向x
组件
prcomp(USArrests, scale = TRUE)$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