On Wed, Dec 3, 2008 at 9:13 AM, Seth W Bigelow <[EMAIL PROTECTED]> wrote: > I'm working on a contourplot( ) graph, the subject of several previous > posts to this list. The contours express probabilities from 0 - 1, but the > key that is automatically generated by contourplot pads the probability > scale with values that are impossible (i.e, range goes from -0.2 to 1.2), > which will be confusing to those who view the plot. How can I get the > scale to just run from 0 - 1? > > I have toiled mightily in the depths of the Murrell & Sarkar graphics > books. Any pointers will be gratefully received. > > --Seth > > Minimal, commented code: > > library(lattice) > > model <- function(a,b,c,d,e, f, X1,X2) # model function for > contour plot > {J <- a + (b*X1) + (c*X2) + (d*X1*X2) + e*(X1^2) + f*(X2^2) > pp <- exp(J)/(1+exp(J)) > return(pp)} > > g <- expand.grid(X1= seq(0.3,0.9,0.01), X2 = seq(0.3,1, 0.01)) > ## create x and y data matrix > > g$z <- model(-29, -14, 52, 80, -3, -56, g$X1, g$X2) > ## Create variable z using model and g data frame > > contourplot(z ~ X1 * X2, > data = g, > region = TRUE, # Add color to background > cuts = 5 # Number of contour/color intervals. > )
contourplot(z ~ X1 * X2, data = g, region = TRUE, at = seq(0, 1, length = 6)) -Deepayan ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.