It's not so simple, but consider the following:
x=rep(1:6, each=2, length=24)
y=rep(1:6, each=4)
z=rep(0:1, length=24)
set.seed(1)
tstDF - data.frame(x=x, y=y, z=z,
w=(x-3.5)^2+(y-3.5)+z+0.1*rnorm(24))
fit - lm(w~x+y+z+I(x^2)+I(y^2), tstDF)
x0 - seq(1, 5, .5)
y0 - seq(1, 6,
Hi All
I have been fitting regression models and would now like to produce some
contour image plots from the predictors.
Is there an easy way to do this? My current (newbie) experience with R
would suggest there is but that it's not always easy to find it!
f3 - lm( fc ~ poly( speed, 2 ) +
