pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species",
pch = "+", col = c("red", "green3", "blue")[unclass(iris$Species)])Trying to fool pairs in the following way produces the same plot as above:
pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species",pch = "+",
col = c("black", "red", "green3", "blue")[ 1+ unclass(iris$Species)])One very kludgy work-around is to define a new level 1, say "foo" in the first row of iris:
iris2=iris iris2$Species = as.character(iris2$Species) iris2$Species[1]="foo" iris2$Species = factor(iris2$Species)
pairs(iris2[1:4], main = "Anderson's Iris Data -- 3 species", pch = "+",
col = c( "black","red", "green3","blue")[ unclass(iris2$Species)])
However, if any other row is redefined, the red-axis persists. For example:
iris2=iris iris2$Species = as.character(iris2$Species) iris2$Species[3]="foo" iris2$Species = factor(iris2$Species)
pairs(iris2[1:4], main = "Anderson's Iris Data -- 3 species", pch = "+", col = c( "black","red", "green3","blue")[ unclass(iris2$Species)])
I'd appreciate suggestions for a simpler work-around.
Thanks, Anne
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