I would like to be able to shade between two lines using ggplot2 (with faceting too). But, despite reading all the documentation on the website, cant figure out how to do it (either because i am a novice or idiot - or, of course, possibly both)
My data looks is readership of paid & free newspapers in london by age since 1994. The structure is reading.melt <- structure(list(Date = structure(c(9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757, 9100, 11292, 11657, 12022, 12387, 12753, 13118, 13483, 13757), class = "Date"), Geog = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "London", class = "factor"), Type = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Paid", "Total" ), class = "factor"), variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L ), .Label = c("Age.15.24", "Age.25.34", "Age.35.44", "Age.45.54", "Age.55.64", "Age.65."), class = "factor"), value = c(57.6, 54.7, 44.9, 51.1, 43.5, 44.8, 44, 50, 39.6, 57.6, 54.7, 50.4, 57.3, 55, 57.5, 52.5, 60.9, 59.7, 60.7, 51.9, 52.8, 53.5, 43.5, 40.8, 47.5, 42.7, 34.4, 60.7, 51.9, 57.6, 58.7, 50.2, 51.3, 59, 55.2, 56.5, 65.3, 56.9, 50.5, 54.9, 48.3, 53.3, 43.7, 50.4, 42.2, 65.3, 56.9, 53.2, 58.1, 52.7, 57.6, 52.1, 58.2, 55.4, 69.2, 67.2, 52.6, 61.4, 56.1, 49, 54.8, 51.5, 45.2, 69.2, 67.2, 55.2, 63.6, 57.6, 53.6, 60.5, 57.2, 58.1, 70.7, 64.5, 58.2, 64.7, 57.6, 62.1, 64.3, 61.8, 59.9, 70.7, 64.5, 58.7, 66.3, 58.4, 67.2, 66.9, 63.5, 65.3, 67.5, 67.8, 66.4, 70.2, 60.2, 64, 59.4, 59.7, 57.8, 67.5, 67.8, 66.4, 70.3, 60.3, 64.7, 60, 61.1, 60.3)), .Names = c("Date", "Geog", "Type", "variable", "value"), row.names = c(NA, -108L), class = "data.frame ") I then run ... p<-ggplot(reading.melt,aes(x=Date,y=value)) p+geom_path(aes(colour=Type),size=2)+facet_grid(variable~.) but can't figure out (1) How to add a transparent shade between the Paid & Total lines. I've tried the ribbon function, but cant seem to get it to shade between the lines (2) Add a left justified title to the chart Any help very grateful received thanks simeon [[alternative HTML version deleted]] ______________________________________________ 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.