Activate the tl.col argument and allow vectorized inputs.

[LafontRapnouilTristan]

Hi,

I recently issued a problem with the ggcorrplot function not being able to use the tl.col argument #44 . I fixed it on a forked version and propose my changes to be added if you want.

I added tl.col in the theme of the function using ggtext::element_markdown() to make it accept vectorized color input to display such correlation plots :

# Compute a correlation matrix
data(mtcars)
corr <- round(cor(mtcars), 1)
head(corr[, 1:6])
#>       mpg  cyl disp   hp drat   wt
#> mpg   1.0 -0.9 -0.8 -0.8  0.7 -0.9
#> cyl  -0.9  1.0  0.9  0.8 -0.7  0.8
#> disp -0.8  0.9  1.0  0.8 -0.7  0.9
#> hp   -0.8  0.8  0.8  1.0 -0.4  0.7
#> drat  0.7 -0.7 -0.7 -0.4  1.0 -0.7
#> wt   -0.9  0.8  0.9  0.7 -0.7  1.0

Compute a matrix of correlation p-values

p.mat <- cor_pmat(mtcars)
head(p.mat[, 1:4])
#>               mpg          cyl         disp           hp
#> mpg  0.000000e+00 6.112687e-10 9.380327e-10 1.787835e-07
#> cyl  6.112687e-10 0.000000e+00 1.802838e-12 3.477861e-09
#> disp 9.380327e-10 1.802838e-12 0.000000e+00 7.142679e-08
#> hp   1.787835e-07 3.477861e-09 7.142679e-08 0.000000e+00
#> drat 1.776240e-05 8.244636e-06 5.282022e-06 9.988772e-03
#> wt   1.293959e-10 1.217567e-07 1.222320e-11 4.145827e-05

Visualize the correlation matrix

--------------------------------

method = "square" (default)

ggcorrplot(corr, tl.col = c(rep("red",4),rep("black",4),rep("purple",3))

Thanks again for this amazing package! Have a nice day!