covariance matrix plot

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# Load the  dataset.
data(data name)
 
# Plot #1: Basic scatterplot matrix of the four measurements
pairs(~x1+x2+x3+x4, data=data name)

or

in corrplot package, named "circle", "square", "ellipse", "number", "shade", "color", "pie".

library(corrplot)
M <- cor(mtcars)
corrplot(M, method="circle")

corrplot(M, method="number")

                          data(iris)
cor(iris[,1:4])



                          pairs(iris[,1:4])