I would like to plot the following dataset
structure(list(X = structure(c(3L, 12L, 11L, 7L, 13L, 2L, 1L,
10L, 5L, 4L, 8L, 14L, 9L, 6L), .Label = c(\"BUM\", \"DD
This is an extension to @Andrie's solution. It combines the faceting idea with that of overplotting (stolen liberally from the learnr blog, which I find results in a cool visualization. Here is the code and the resulting output. Comments are welcome
mdf <- melt(df, id.vars="X")
mdf = transform(mdf, variable = reorder(variable, value, mean), Y = X)
ggplot(mdf, aes(x = variable, y = value)) +
geom_line(data = transform(mdf, X = NULL), aes(group = Y), colour = "grey80") +
geom_line(aes(group = X)) +
facet_wrap(~X) +
opts(axis.text.x = theme_text(angle=90, hjust=1))
EDIT: If you have groupings of milieus, then a better way to present might be the following
mycols = c(brewer.pal(4, 'Oranges'), brewer.pal(4, 'Greens'),
brewer.pal(3, 'Blues'), brewer.pal(3, 'PuRd'))
mdf2 = read.table(textConnection("
V1, V2
ETB, LEIT
PMA, LEIT
PER, LEIT
LEIT, LEIT
KON, TRADITION
TRA, TRADITION
DDR, TRADITION
TRADITION, TRADITION
BUM, MAIN
MAT, MAIN
MAIN, MAIN
EXP, HEDOS
HED, HEDOS
HEDOS, HEDOS"), sep = ",", header = T, stringsAsFactors = F)
mdf2 = data.frame(mdf2, mycols = mycols)
mdf3 = merge(mdf, mdf2, by.x = 'X', by.y = "V1")
p1 = ggplot(mdf3, aes(x = variable, y = value, group = X, colour = mycols)) +
geom_line(subset = .(nchar(as.character(X)) == 3)) +
geom_line(subset = .(nchar(as.character(X)) != 3), size = 1.5) +
facet_wrap(~ V2) +
scale_color_identity(name = 'Milieus', breaks = mdf2$mycols, labels = mdf2$V1) +
theme_bw() +
opts(axis.text.x = theme_text(angle=90, hjust=1))