Remove text labels of variables on diagonal corrplot

Question

[Jack]

How can I remove text labels from diagonal only on corrplot?

my_correlation_matrix1 <- read.table("path/to/matrix", header = T)
my_correlation_matrix2 <- read.table("path/to/matrix", header = T)

corrplot(my_correlation_matrix1,
         method = "color",                                    
         type = "lower",                                      
         tl.col = "black",                                    
         tl.cex = 0.6,                                        
         tl.srt = 45)

corrplot(my_correlation_matrix2,
         method = "color",                                    
         type = "lower",                                      
         tl.col = "black",                                    
         tl.cex = 0.6,                                        
         tl.srt = 45,
         add = T)

Since I'm using add = T, the 2 corrplots are merged in one plot. But because they have values on the diagonal, they are overlapping. How can this be fixed?

What I'm trying to do, is merge 2-corrplots-in-1. Two different studies for the same set of values. Upper triangular is measurement A and lower is measurement B.

[ddiez]

Not completely sure what you want to do but you could try modifying the values in the diagonal of your correlation matrix. Use diag to access the diagonal: diag(my_matrix) <- <some_new_value>

[Jack]

@ddiez I've updated the question. check it again.

[ddiez]

Added an tentative answer. I assumed there is a typo in your code above and the second call to corrplot sets type = "upper". Is that correct?

Answer 1

[ddiez]

I do not know enough about corrplot to solve your problem tweaking the function's arguments. But instead, why don't you try making a new matrix containing the information you want to plot, and use a single call to corrplot? For example:

m <- my_correlation_matrix1
m[upper.tri(m)] <- my_correlation_matrix2[upper.tri(my_correlation_matrix2)]
m
corrplot(m,
         method = "color",
         tl.col = "black",                                    
         tl.cex = 0.6,                                        
         tl.srt = 45)