# NOT RUN {
if(require(ggplot2)){
vad <- as.data.frame.table(VADeaths)
names(vad) <- c("age","demographic","deaths")
## color + legend
leg <- ggplot(vad,aes(deaths,age,colour=demographic))+
geom_line(aes(group=demographic))+
xlim(8,80)
print(direct.label(leg,list("last.points",rot=30)))
## this is what direct.label is doing internally:
labeled <- leg+
geom_dl(aes(label=demographic), method=list("last.points",rot=30))+
scale_colour_discrete(guide="none")
print(labeled)
## no color, just direct labels!
p <- ggplot(vad,aes(deaths,age))+
geom_line(aes(group=demographic))+
geom_dl(aes(label=demographic),method="top.qp")
print(p)
## add color:
p+aes(colour=demographic)+
scale_colour_discrete(guide="none")
## add linetype:
p+aes(linetype=demographic)+
scale_linetype(guide="none")
## no color, just direct labels
library(nlme)
bwbase <- ggplot(BodyWeight,aes(Time,weight,label=Rat))+
geom_line(aes(group=Rat))+
facet_grid(.~Diet)
bw <- bwbase+geom_dl(method="last.qp")
print(bw)
## add some more direct labels
bw2 <- bw+geom_dl(method="first.qp")
print(bw2)
## add color
colored <- bw2+aes(colour=Rat)+
scale_colour_discrete(guide="none")
print(colored)
## or just use direct.label if you use color:
direct.label(bwbase+aes(colour=Rat),dl.combine("first.qp","last.qp"))
## iris data example
giris <- ggplot(iris,aes(Petal.Length,Sepal.Length))+
geom_point(aes(shape=Species))
giris.labeled <- giris+
geom_dl(aes(label=Species),method="smart.grid")+
scale_shape_manual(values=c(setosa=1,virginica=6,versicolor=3),
guide="none")
##png("~/R/directlabels/www/scatter-bw-ggplot2.png",h=503,w=503)
print(giris.labeled)
##dev.off()
}
# }
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