本文介绍了在PCA ggplot-R中的组旁边添加分类器的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
如何在此PCA图中的质心旁边添加物种"分类器.
How can I added the Species classifier next to the centroid in this PCA plot.
代码:
library(ggpubr)
library(ggbiplot)
data(iris)
Species<- iris$Species
myPCA <- prcomp(iris[.1:4], scale. = TRUE)
dt<-data.table(PC1=myPCA$x[,1],PC2=myPCA$x[,2], Species)
dt[order(dt$Species),]
centeriod<-summaryBy(PC1+PC2 ~ Species, data=dt, FUN=list(mean))
ggplot(dt,aes(x=PC1,y=PC2,color=Species, fill=Species)) + geom_point(size = 2)
推荐答案
在这种情况下,我不确定为什么需要ggpubr和ggbiplot软件包.您可以仅使用ggplot2(以及示例中已使用的data.table)来完成此操作.
I'm not sure why you would need the ggpubr and ggbiplot packages in this case. You can do this with just ggplot2 (and data.table which you already used in your example).
library(ggplot2)
library(data.table)
data(iris)
Species<- iris$Species
myPCA <- prcomp(iris[,1:4], scale. = TRUE)
dt <- data.table(PC1=myPCA$x[,1],PC2=myPCA$x[,2], Species)
dt <- dt[order(dt$Species),]
centeroid <- dt[, list(PC1 = mean(PC1), PC2 = mean(PC2)), by = Species]
ggplot(dt,aes(x=PC1,y=PC2)) +
geom_point(size = 2, aes(color=Species)) +
geom_text(data = centeroid, aes(label = Species))
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