A matrix of scatterplots is produced.The upper triangular matrices contain nothing else than the correlation coefficient. The diagonal displays a histogram of the variable. The lower triangular matrix displays a scatterplot superposed by a smoother. It's possible to define groups to be differntiated by color and also by individual smoothers. The used code is not much more than the pairs() code and some examples, but condenses it to a practical amount.

PlotPairs(x, g = NULL, col = 1, pch = 19, col.smooth = 1, main = "", 
          upper = FALSE, ...)

Arguments

x

the coordinates of points given as numeric columns of a matrix or data frame. Logical and factor columns are converted to numeric in the same way that data.matrix does. Will directly be passed on to pairs.

g

a group variable

col

color for pointcharacter

pch

point character

col.smooth

color for the smoother(s)

main

the main title

upper

logical, determines if the correlation coefficients should be displayed in the upper triangular matrix (default) or in the lower one.

...

additional arguments passed to pairs function.

Author

Andri Signorell <andri@signorell.net>

See also

Examples

PlotPairs(iris[1:4], g=iris$Species, main = "Anderson's Iris Data -- 3 species",
          col=c(hred, hblue, hgreen), col.smooth=c("black", hred, hblue, hgreen))