Corrplot.mixed plot（数字和平方）

尝试将系数值（下角）和重要性（上角）放在一起

尝试使用corrplot.mixed，但做了一些错误的事情

library(corrplot)
library(Hmisc)
mydata <- read.csv("HiBAPPaperv2_Corre.csv")
mydata.cor = cor(mydata, method = "pearson")
mydatrou= round(mydata.cor, 2)
H1517 <- cor(mydatrou)
#corrplot(H1517, method = "circle")
H1517_2 <- rcorr(as.matrix(mydata))
# Extract the correlation coefficients
H1517_2$r
# Extract p-values
H1517_2$P
## add all p-values
col1 <- colorRampPalette(c("#7F0000", "red", "#FF7F00", "yellow", "white",
                       "#00ff11", "#007FFF", "blue", "#00007F"))
col2 <- colorRampPalette(c("#67001F", "#B2182B", "#D6604D", "#F4A582",
                       "#FDDBC7", "#FFFFFF", "#D1E5F0", "#92C5DE",
                       "#4393C3", "#2166AC", "#053061"))
col3 <- colorRampPalette(c("red", "white", "blue")) 
col4 <- colorRampPalette(c("#7F0000", "red", "#FF7F00", "yellow", "#7FFF7F",
                       "#00ff11", "#007FFF", "blue", "#00007F"))
whiteblack <- c("white", "black")

## using these color spectra
corrplot.mixed(H1517, upper = "square", p.mat = H1517_2$P, insig =         "label_sig", addrect = 3,col = col4(10), sig.level = c(.001, .01, .05), pch.cex = 1,
           lower = "number", tl.pos = "lt", tl.col = "black", tl.offset=1, tl.srt = 0)

库（corrplot）
图书馆（Hmisc）
mydata如果您想要为下部和上部组件设置一组颜色，则需要将
lower.col
和
upper.col
设置为相同的值

使用来自
？corrplot.mixed
的数据：

 M <- cor(mtcars)
 ord <- corrMatOrder(M, order = "AOE")
 M2 <- M[ord,ord]

似乎有效（尽管我不推荐这些颜色！）
如果您想要为下部和上部组件设置一组颜色，则需要将
lower.col
和
upper.col
设置为相同的值

使用来自
？corrplot.mixed
的数据：

 M <- cor(mtcars)
 ord <- corrMatOrder(M, order = "AOE")
 M2 <- M[ord,ord]

看起来不错（虽然我不推荐这些颜色！）
A会很好…A会很好。。。