[英]Adding additional information under corrplot's x axis
I'm trying to add "cumulative proportional variance explained" (from PCA) under corrplot's x axis. 我试图在corrplot的x轴下添加“解释的累积比例方差”(来自PCA)。 I referenced corrplot
manual but didn't find out any instruction for doing that. 我参考了corrplot
手册,但没有找到执行此操作的任何说明。 Below is the code I have at the moment using example data. 下面是我目前使用示例数据的代码。
library("FactoMineR")
library("factoextra")
library("corrplot")
data(decathlon2)
decathlon2.active <- decathlon2[1:23, 1:10]
res.pca <- PCA(decathlon2.active, graph = FALSE)
var <- get_pca_var(res.pca)
corrplot(var$cos2, is.corr=FALSE)
##getting cumulative variance explained from res.pca
variance <- res.pca$eig*100/sum(res.pca$eig)
cumvar <- cumsum(variance)
The problem is how to insert the cumvar
information into the corrplot
's x-axis, such that they match with the corresponding dim*
on top of the corrplot
, which obviates the need to do a scree plot. 问题是如何将cumvar
信息插入corrplot
的x轴,以使其与corrplot
顶部的相应dim*
匹配,从而避免了进行scree图的需要。
Does anyone know how to do that? 有谁知道这是怎么做到的吗? Any help will be appreciated. 任何帮助将不胜感激。
If you want to display these numbers at the bottom of x-axis: 如果要在x轴的底部显示这些数字:
Repeating your calculations 重复计算
library("FactoMineR") library("factoextra") library("corrplot") data(decathlon2) decathlon2.active <- decathlon2[1:23, 1:10] res.pca <- PCA(decathlon2.active, graph = FALSE) var <- get_pca_var(res.pca) variance <- res.pca$eig*100/sum(res.pca$eig) cumvar <- cumsum(variance)
Making a plot with extra space at the bottom 进行底部有额外空间的绘图
corrplot(var$cos2, is.corr=FALSE, mar=c(4,0,0,0))
Adding proportion of variance explained under the cells: 在单元格下说明的方差相加比例:
text(1:5, 0, round(cumvar[1:5], 2), xpd=TRUE)
And the result: 结果:
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