Using R corrplot, I have not found a solution where the correlation coefficients in the boxes are plotted together with their significances, i.e. 0.84*** Here is the code plotting only the significance stars. How can the correlation coefficients be added there?
M<-cor(mtcars)
res1 <- cor.mtest(mtcars, conf.level = .95)
corrplot(cor(mtcars),
method="square",
type="lower",
p.mat = res1$p,
insig = "label_sig",
sig.level = c(.001, .01, .05),
pch.cex = 0.8,
pch.col = "red",
tl.col="black",
tl.cex=1,
outline=TRUE)
If I add, as by the first answer suggested, addCoef.col = "black", the text overlays the significance stars so they cannot really be seen anymore:
The position of the significance stars is defined by the place_points
function within the corrplot
function.
If both, the correlation coefficients and the significance level should be displayed, they overlap (I took yellow for the stars since I have some issues with colour vision...).
library(corrplot)
#> corrplot 0.90 loaded
M<-cor(mtcars)
res1 <- cor.mtest(mtcars, conf.level = .95)
corrplot(cor(mtcars),
method="square",
type="lower",
p.mat = res1$p,
insig = "label_sig",
sig.level = c(.001, .01, .05),
pch.cex = 0.8,
pch.col = "yellow",
tl.col="black",
tl.cex=1,
addCoef.col = "black",
tl.pos="n",
outline=TRUE)
Created on 2021-10-13 by the reprex package (v2.0.1)
Change the place_points
function within the corrplot
function. To do so, run:
trace(corrplot, edit=TRUE)
Then replace on line 443
place_points = function(sig.locs, point) {
text(pos.pNew[, 1][sig.locs], pos.pNew[, 2][sig.locs],
labels = point, col = pch.col, cex = pch.cex,
lwd = 2)
with:
# adjust text(X,Y ...) according to your needs, here +0.25 is added to the Y-position
place_points = function(sig.locs, point) {
text(pos.pNew[, 1][sig.locs], (pos.pNew[, 2][sig.locs])+0.25,
labels = point, col = pch.col, cex = pch.cex,
lwd = 2)
and then hit the "Save" button.
library(corrplot)
#> corrplot 0.90 loaded
#change the corrplot function as described above
trace(corrplot, edit=TRUE)
#> Tracing function "corrplot" in package "corrplot"
#> [1] "corrplot"
M<-cor(mtcars)
res1 <- cor.mtest(mtcars, conf.level = .95)
corrplot(cor(mtcars),
method="square",
type="lower",
p.mat = res1$p,
insig = "label_sig",
sig.level = c(.001, .01, .05),
pch.cex = 0.8,
pch.col = "yellow",
tl.col="black",
tl.cex=1,
addCoef.col = "black",
tl.pos="n",
outline=TRUE)
Created on 2021-10-13 by the reprex package (v2.0.1)