4
For this, I use the package PerformanceAnalytics
. Behold:
PerformanceAnalytics::chart.Correlation(iris[, -5])
Via corrplot
it is not possible/would have to do a lot of programming. In that question, they present an option via corrgram
but it is not practical in my opinion. If it were to use the corrplot
I’d wear something like that:
m.cor <- cor(iris[, -5])
m.sig <- cor.mtest(iris[, -5])$p
corrplot(corr = m.cor, outline = F, p.mat = m.sig, tl.srt = 0,
addCoef.col = "black", method = "square", type = "upper", diag = F, insig = "pch")
Where "X" represents that the coefficient was not different from zero (it was not significant).
Provide the code you used and your data (command
dput
) so that we can reproduce your problem and help you in the best way– Rafael Cunha