R corrplot更改数据标签 [英] R corrplot change data labels
问题描述
我正在使用R corrplot库.看起来很棒,但是要生成一个非常好的图,我想更改相关矩阵的行和列的标签.
I am using R corrplot library. It looks amazing, however to produce a really good plot I want to change the labels of rows and columns of the correlation matrix.
一种解决方案是执行以下操作:
One solution is to do something like this:
cbak <- colnames(my.data.frame)
colnames(my.data.frame) <- c("a", "set", "of", "labels")
corrplot(cor(my.data.frame))
colnames(my.data.frame) <- cbak
但是,这看起来很奇怪和丑陋.
However this looks strange and ugly.
我想我应该使用text()
函数的labels
参数,但是我不知道怎么做.
I guess I should work with the labels
parameter of a text()
function, but I can't figure how.
corrplot(cor(my.data.frame), labels=c("a", "set", "of", "labels"))
结果
Error in text.default(pos.xlabel[, 1], pos.xlabel[, 2], newcolnames, srt = tl.srt, :
invalid 'pos' value
In addition: Warning message:
In text.default(pos.xlabel[, 1], pos.xlabel[, 2], newcolnames, srt = tl.srt, :
NAs introduced by coercion
如何正确执行此操作?
推荐答案
在当前的corrplot
版本0.75中,不能使用labels
参数,因为X和Y标签是在colnames()
函数中从rownames()
输入的corr
矩阵.
In the current corrplot
version 0.75, you cannot use labels
parameter because the X and Y labels are computed within the corrplot()
function from colnames()
and rownames()
of the input corr
matrix.
我正在使用与您建议的类似的方法:
I'm using similar approach as you have suggested:
M <- cor(mtcars)
colnames(M) <- c("a", "set", "of", "x", "labels", 1:6)
corrplot(M, method = "color")
顺便说一句,我从github问题跟踪器链接了这个stackoverflow问题: https://github.com/taiyun/corrplot/issues/20
BTW, I linked this stackoverflow question from our github issue tracker: https://github.com/taiyun/corrplot/issues/20
更新:
在当前的corrplot
版本0.78中,变量名中也允许使用plotmath表达式.只需在您的名字前面加上字符:","=或"$"之一即可.
UPDATE:
In the current corrplot
version 0.78, also plotmath expressions are allowed in variable names. Just prefix your name with one of the characters ":", "=" or "$".
示例:
M <- cor(mtcars)[1:5,1:5]
colnames(M) <- c("alpha", "beta", ":alpha+beta", ":a[0]", "=a[beta]")
rownames(M) <- c("alpha", "beta", NA, "$a[0]", "$ a[beta]")
corrplot(M)
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