如何突出显示R中corrplot中的显着相关性? [英] How can I highlight significant correlation in corrplot in R?

问题描述

在R的Corrplot中，我们可以通过提供p值矩阵并使用函数"insig"和"pch"来突出显示无关紧要的(＜0.05).

In corrplot in R, we can highlight insignificant correlation (<0.05) by supplying p-value matrix and using function "insig" and "pch".

但是我只想突出显示p值小于0.05的显着相关.

But I want highlight only Significant correlation having p-value less than 0.05.

有什么办法可以做相反的事情吗?

Is there any way to do the opposite?

最诚挚的问候

Shriram

推荐答案

我查看了corrplot的源代码.据我了解的代码，不可能做到与有效值完全相反.真正接近您想要的唯一选择是定义insig = "blank".这将导致不重要的相关性简单地消失.

I looked into the source code of corrplot. As far as I understand the code, it is not possible to do the exact opposite to the significant values. The only option that comes really close to what you want is defining insig = "blank". This will cause the non-significant correlations to simply disappear.

我能想到的最好的解决方案是联系软件包的作者，并询问是否可以实施:

The best solution I can think of is to contact the author of the package and ask if this can be implemented: https://cran.r-project.org/web/packages/corrplot/index.html

另一种选择是自己调整corrplot的源代码，以根据需要进行调整.

An other option is to tweak the source code of corrplot yourself, to adjust it to your needs.

如果还没有，请查看corrplot的小插图:

Also, if you haven't yet, check out the vignettes for corrplot: https://cran.r-project.org/web/packages/corrplot/vignettes/corrplot-intro.html

或者，指定insig = blank，我认为它与您想要的非常接近..不确定.

Or, specify insig = blank, which I think comes pretty close to what you want.. not sure.

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