sorry for my slow reply, this is what I worked out so far… my reproducible example and the code
test<-structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L), .Label = c("A", "B", "C", "D", "E"), class = "factor"), conc = c(2.32, 0.902, 0.468, 5.51, 1.49, 0.532, 0.72, 0.956, 0.887, 20, 30, 2.12, 0.442, 10, 50, 110, 3.36, 2.41, 20, 70, 3610, 100, 4.79, 20, 0.0315, 30, 60, 1, 3.37, 80, 1.21, 0.302, 0.728, 1.29, 30, 40, 90, 30, 0.697, 6.25, 0.576, 0.335, 20, 10, 620, 40, 9.98, 4.76, 2.61, 3.39, 20, 4.59), samp.time = structure(c(2L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 8L, 8L, 8L, 8L, 8L, 9L, 8L, 7L, 8L, 8L, 8L, 8L, 3L, 3L, 2L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 6L, 4L, 8L, 4L, 8L, 4L, 3L, 8L, 4L, 8L, 4L, 8L, 4L, 9L, 3L, 8L, 8L, 8L, 8L, 8L, 8L, 1L), .Label = c("2", "4", "12", "24", "96", "135", "167", "168", "169"), class = "factor")), .Names = c("site", "conc", "samp.time"), row.names = c(NA, 52L), class = "data.frame") test$samp.time.new <- with(test, reorder(samp.time:site, as.numeric(site))) m<-match(unique(droplevels(test$samp.time.new)),test$samp.time.new) lab<-as.character(test$samp.time[m]) dotplot(samp.time.new~conc|site, data=test, ylim=lab, scales=list(x=list(log=10), y = list(relation = "free")), layout=c(1,5), strip=FALSE, strip.left=TRUE ) Now labels are correctly spaced and sorted out but still a “slight” problem persist: i.e. the reordering of samp.time.new within each site; in fact, I would like to have an ascending order of sampling time but for some reason I’m not able to work it out properly… any help much appreciated max -- View this message in context: http://r.789695.n4.nabble.com/lattice-dotplot-reorder-contiguous-levels-tp4643741p4644215.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.