Hi, I am trying to plot the following data so that it can be visually represented well. I tried the dotchart but I felt it was too spread out. Then I tried the barplot which is good enough for me. Is there a way to give the labels for the y-axis as in the dot chart? Also, I feel the grey level is confusing, so is there options for designs within the bars? I cannot use color as the journal wants it in black and white. I also need to specify the key. If someone has done it, I would appreciate your input. Cheers../Murli
intersect.data<-structure(list(X = structure(c(1L, 3L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 2L, 4L, 5L, 6L, 7L), .Label = c("1-100", "1001-1100", "101-200", "1101-1200", "1201-1300", "1301-1400", "1401-1532", "201-300", "301-400", "401-500", "501-600", "601-700", "701-800", "801-900", "901-1000"), class = "factor"), MCM.Cell.vs.MCM.Tumor = c(6L, 7L, 12L, 9L, 13L, 7L, 11L, 4L, 8L, 11L, 11L, 12L, 4L, 15L, 28L ), Ttest.Tumor.vs.Ttest.Cell = c(4L, 2L, 7L, 9L, 8L, 10L, 4L, 7L, 8L, 7L, 5L, 7L, 4L, 5L, 9L), Ttest.Cell.vs.MCM.Cell = c(66L, 22L, 14L, 7L, 11L, 6L, 12L, 7L, 9L, 8L, 7L, 9L, 9L, 5L, 20L), Ttest.Tumor.vs.MCM.Tumor = c(31L, 18L, 8L, 12L, 5L, 8L, 5L, 8L, 9L, 8L, 10L, 12L, 13L, 8L, 18L)), .Names = c("X", "MCM.Cell.vs.MCM.Tumor", "Ttest.Tumor.vs.Ttest.Cell", "Ttest.Cell.vs.MCM.Cell", "Ttest.Tumor.vs.MCM.Tumor" ), class = "data.frame", row.names = c(NA, -15L)) dotchart(as.matrix(intersect.data[-1]), labels=intersect.data[,1], cex=0.5, gpch=70) barplot(t(as.matrix(intersect.data[,2:5])), beside=T, horiz=T) ______________________________________________ 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.