I have a dataframe of three variables: x, y, z. The value of z are: ``` > unique(df$z) [1] 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.6 3.0 2.4 2.8 ``` I would like to plot the contour where the data get integer values (1.0, 2.0, 3.0) but also highlight where the 1.8 and 2.8 values occurred. Thus, I am plotting the data with lattice's contourplot with a cut of 3, and I would like to add a layer with the contours for the 2.8 values. A sort of mean and 95% CI margins around it. I selected a subset of the original dataframe, but it does not plot anything. ``` library(lattice) library(latticeExtra) ds = subset(df, z == 1.8 | z == 2.8) a = contourplot(z ~ y*x, data = df, cuts = 3, lwd = 3, labels=FALSE) b = contourplot(Class ~ y*x, data = ds, lwd = 1, col="blue") P = a + as.layer(b) print(P) ```
Is there a way to select only a subset of the contours? If I increase `cuts` I get more levels, I am only interested in certain values... Thank you ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
