在R中使用Pairs()命令向相关图添加标识线 [英] Adding line of identity to correlation plots using pairs() command in R
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问题描述
类似于上一篇文章,想要修改以下代码(来自R文档中的groups()命令)中的示例:
Similar to a prevous post, I'd like to modify the following code (from example in the R documentation for pairs() command):
## put (absolute) correlations on the upper panels,
## with size proportional to the correlations.
panel.cor <- function(x, y, digits = 2, prefix = "", cex.cor, ...)
{
usr <- par("usr"); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
r <- abs(cor(x, y))
txt <- format(c(r, 0.123456789), digits = digits)[1]
txt <- paste0(prefix, txt)
if(missing(cex.cor)) cex.cor <- 0.8/strwidth(txt)
text(0.5, 0.5, txt, cex = cex.cor * r)
}
pairs(USJudgeRatings, lower.panel = panel.smooth, upper.panel = panel.cor)
我希望每个情节都具有一条身份线,而不是一条黄土线。秘密在于$ panel.smooth函数,但是我不知道如何修改它。
Instead of a loess line, I want a line of identity for each plot. The secret lies in the $"panel.smooth" function, but I don't know how to modify it.
推荐答案
我认为您的意思是这样的:
I think you just mean something like this:
my_line <- function(x,y,...){
points(x,y,...)
abline(a = 0,b = 1,...)
}
pairs(USJudgeRatings, lower.panel = my_line, upper.panel = panel.cor)
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