P-Value Representation Using corrplot()

Question

The code I have written produces the image attached here. I'm wanting to make the asterisks smaller in size, but I am not sure how to do this. Also, is it possible to represent different levels of significance with the number of asterisks (*=0.1, **=0.05, ***=0.001). Thanks in advance. My code and figure are below as well.

alpha_corr <- cor(Schiller_Numerical, method = "pearson") 
alpha_p <- cor.mtest(alpha_corr, method = "pearson", conf.level = 0.95, exact = FALSE)
corrplot(
  cor(alpha_corr, method = "pearson"), 
  tl.col = "black",
  tl.srt = 60,
  method = 'square', 
  order = 'hclust', 
  type = 'lower', 
  diag = TRUE, 
  tl.cex = 1, 
  title = "Heatmap For All Data",
  mar=c(0,0,2,0),
  p.mat = alpha_p$p,
  sig.level = 0.05,
  insig = "label_sig") `

It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input that can be used to test and verify possible solutions. — MrFlick, Feb 03 '23 at 15:11

score 1 · Answer 1 · answered Feb 03 '23 at 16:19

You can find all the useful parameters you required in the corrplot() documentation : https://www.rdocumentation.org/packages/corrplot/versions/0.92/topics/corrplot

You need to modify pch.cex to adjust asdterisk size, and sig.level to specify the signficance levels as a vector.

data(mtcars)
alpha_p <- cor.mtest(mtcars, method = "pearson", conf.level = 0.95, exact = FALSE)
corrplot(
  cor(mtcars, method = "pearson"), 
  tl.col = "black",
  tl.srt = 60,
  method = 'square', 
  order = 'hclust', 
  type = 'lower', 
  diag = TRUE, 
  tl.cex = 1, 
  title = "Heatmap For All Data",
  mar=c(0,0,2,0),
  p.mat = alpha_p$p,
  sig.level = c(0.001,0.05,0.1),
  insig = "label_sig",
  pch.cex=1)

P-Value Representation Using corrplot()

1 Answers1