更改“corrplot()”中有意义的 pch 符号的位置？

下面的脚本生成一个图，其中表示重要性的 pch 符号与 r 值重叠。如何移动 pch 符号的位置以使它们不与这些值重叠？

library(corrplot)

ex.mat <- matrix(c(1.00,0.46,-0.75,1.00,0.46,1.00,0.00,0.46,-0.75,0.00,1.00,-0.75,1.00,0.46,-0.75,1.00), nrow = 4, ncol = 4)
ex.pmat <- matrix(c(NA,0.2939,0.0522,0.0000,0.2939,NA,1.0000,0.2939,0.0522,1.0000,NA,0.0522,0.0000,0.2939,0.0522,NA), nrow = 4, ncol = 4)

corrplot(ex.mat, p.mat = ex.pmat ,sig.level = c(.001, .01, .05), type = "upper", 
         insig = "label_sig", pch.cex = 1.5,
         tl.col = "black", method = "color", tl.srt = 28, number.cex = 1, tl.cex = 1,  addCoef.col = "dodgerblue",
         pch.col = "tomato", font.main = 4, family = "serif", mar=c(0,0,1,0), cl.pos = "b")

能够自动执行此操作将是理想的选择，但也可以手动完成：

ex.mat <- matrix(c(1.00,0.46,-0.75,1.00,0.46,1.00,0.00,0.46,-0.75,0.00,1.00,-0.75,1.00,0.46,-0.75,1.00), nrow = 4, ncol = 4)
ex.pmat <- matrix(c(NA,0.2939,0.0522,0.0000,0.2939,NA,1.0000,0.2939,0.0522,1.0000,NA,0.0522,0.0000,0.2939,0.0522,NA), nrow = 4, ncol = 4)

corrplot(ex.mat, type = "upper", 
         insig = "label_sig", pch.cex = 1.5, cl.length = 3,
         tl.col = "black", method = "color", tl.srt = 28, number.cex = 1, tl.cex = 1,  addCoef.col = "dodgerblue",
         pch.col = "tomato", font.main = 4, family = "serif", mar=c(0,0,1,0), cl.pos = "b")


points(4.35, 4.25 , type = "p", pch = "*", cex = 2, col = "ivory")
points(4.20, 4.25 , type = "p", pch = "*", cex = 2, col = "ivory")
points(4.05, 4.25 , type = "p", pch = "*", cex = 2, col = "ivory")

重要性星星的位置由 corrplot 函数中的 place_points 函数定义。

Problem:

如果同时显示相关系数和显着性水平，则它们会重叠。

# library
library(corrplot)
#> corrplot 0.90 loaded

# data
ex.mat <- matrix(c(1.00,0.46,-0.75,1.00,0.46,1.00,0.00,0.46,-0.75,0.00,1.00,-0.75,1.00,0.46,-0.75,1.00), nrow = 4, ncol = 4)

#since your example threw an error with the actual corrplot package I slightly edited you code

#set colnames
colnames(ex.mat) <- c("A","B","C","D")

# calculate p-values
ex.pmat <- cor.mtest(ex.mat, conf.level = .95)

# overlapping plot
corrplot(ex.mat, p.mat = ex.pmat$p ,sig.level = c(.001, .01, .05), type = "upper", 
         insig = "label_sig", pch.cex = 1.5,
         tl.col = "black", method = "color", tl.srt = 28, number.cex = 1, tl.cex = 1,  addCoef.col = "dodgerblue",
         pch.col = "tomato", font.main = 4, family = "serif", mar=c(0,0,1,0), cl.pos = "b")

^{Created on 2021-10-13 by the reprex package https://reprex.tidyverse.org (v2.0.1)}

快速且临时的（每次新加载 corrplot 包时都必须重新执行此步骤）解决方案：

改变place_points内的函数corrplot功能。为此，请运行：

trace(corrplot, edit=TRUE)

然后替换443行

place_points = function(sig.locs, point) {
  text(pos.pNew[, 1][sig.locs], pos.pNew[, 2][sig.locs], 
       labels = point, col = pch.col, cex = pch.cex, 
       lwd = 2)

with:

# adjust text(X,Y ...) according to your needs, here +0.25 is added to the Y-position    
place_points = function(sig.locs, point) {
      text(pos.pNew[, 1][sig.locs], (pos.pNew[, 2][sig.locs])+0.25, 
           labels = point, col = pch.col, cex = pch.cex, 
           lwd = 2)

然后点击“保存”按钮。

Result:

# chance the corrplot function as described above
trace(corrplot, edit=TRUE)
#> Tracing function "corrplot" in package "corrplot"
#> [1] "corrplot"

# non-overlapping plot
corrplot(ex.mat, p.mat = ex.pmat$p ,sig.level = c(.001, .01, .05), type = "upper", 
         insig = "label_sig", pch.cex = 1.5,
         tl.col = "black", method = "color", tl.srt = 28, number.cex = 1, tl.cex = 1,  addCoef.col = "dodgerblue",
         pch.col = "tomato", font.main = 4, family = "serif", mar=c(0,0,1,0), cl.pos = "b")

^{Created on 2021-10-13 by the reprex package https://reprex.tidyverse.org (v2.0.1)}