Awesome, thanks! On Wed, Nov 17, 2021 at 7:50 PM Bill Dunlap <williamwdun...@gmail.com> wrote: > > Try using at=c(1.8, 2.8) to specify the contour levels you want (and omit the > cuts= argument). > > -Bill > > On Wed, Nov 17, 2021 at 5:41 AM Luigi Marongiu <marongiu.lu...@gmail.com> > wrote: >> >> 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.
-- Best regards, Luigi ______________________________________________ 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.
