Perhaps I found a solution as: datA$type <- gl(1, nrow(datA), label = 'PopA') datB$type <- gl(1, nrow(datB), label = 'PopB') dat <- rbind(datA, datB) densityplot(~scores|condition, group = type, dat)
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Doran, Harold > Sent: Thursday, December 09, 2010 12:40 PM > To: r-help@r-project.org > Subject: [R] Condional Density Plot from different data > > I'm not certain I am using the lattice plot correctly here. Below is > reproducible code. Suppose I have two data frames, such as: > > set.seed(1234) > datA <- data.frame(condition = gl(3, 100), scores = c(rnorm(100), rnorm(100, > 1,1), rnorm(100, 2,1))) > datB <- data.frame(condition = gl(3, 1000), scores = c(rnorm(1000, 3,1), > rnorm(1000, 4,1), rnorm(1000, 5,1))) > > I would like to plot the empirical conditional densities (conditional on the > variable "condition") in a fashion such as: > > library(lattice) > densityplot(~datA$scores + datB$scores|datA$condition) > > However, I don't think this is doing what I think it should be doing. For > instance, if I compare it to: > > AA <- subset(datA, condition == '1') > BB <- subset(datB, condition == '1') > plot(density(AA$scores)) > lines(density(BB$scores)) > > Things are clearly different. Can anyone identify my error in the trellis plot > code? > > Thank you, > Harold > > > > sessionInfo() > R version 2.12.0 (2010-10-15) > Platform: i386-pc-mingw32/i386 (32-bit) > > locale: > [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 > LC_MONETARY=English_United States.1252 > [4] LC_NUMERIC=C LC_TIME=English_United States.1252 > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] lattice_0.19-13 > > loaded via a namespace (and not attached): > [1] grid_2.12.0 > > ______________________________________________ > 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. ______________________________________________ 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.
