directlabels - scatterplot - Positioning Method - chull.grid

Label the closest point on the convex hull of the data.

chull.grid <- list("outside.chull","empty.grid")
class-manufacturer

class-manufacturer

data(mpg,package="ggplot2")
m <- lm(cty~displ,data=mpg)
mpgf <- fortify(m,mpg)
library(lattice)
library(latticeExtra)
p <- xyplot(cty~hwy|manufacturer,mpgf,groups=class,aspect="iso",
       main="City and highway fuel efficiency by car class and manufacturer")+
  layer_(panel.abline(0,1,col="grey90"))
direct.label(p,"chull.grid")
  
cylinders

cylinders

data(mpg,package="ggplot2")
m <- lm(cty~displ,data=mpg)
mpgf <- fortify(m,mpg)
library(lattice)
p <- xyplot(jitter(.resid)~jitter(.fitted),mpgf,groups=factor(cyl))
direct.label(p,"chull.grid")
  
iris

iris

library(lattice)
p <- xyplot(jitter(Sepal.Length)~jitter(Petal.Length),iris,groups=Species)
direct.label(p,"chull.grid")
  
mpglattice

mpglattice

data(mpg,package="ggplot2")
library(lattice)
p <- xyplot(jitter(cty)~jitter(hwy),mpg,groups=class,
       main="Fuel efficiency depends on car size")
direct.label(p,"chull.grid")
  
mpg

mpg

library(ggplot2)
data(mpg,package="ggplot2")
p <- qplot(jitter(hwy),jitter(cty),data=mpg,colour=class,
      main="Fuel efficiency depends on car size")
direct.label(p,"chull.grid")
  
path

path

data(normal.l2.cluster,package="directlabels")
library(ggplot2)
p <- ggplot(normal.l2.cluster$path,aes(x,y))+
  geom_path(aes(group=row),colour="grey")+
  geom_point(aes(size=lambda),colour="grey")+
  geom_point(aes(colour=class),data=normal.l2.cluster$pts,pch=21,fill="white")+
  coord_equal()
direct.label(p,"chull.grid")
  
Please contact Toby Dylan Hocking if you are using directlabels or have ideas to contribute, thanks!
Documentation website generated from source code version 2021.2.24 (git revision bb6db07 Mon, 14 Jun 2021 22:38:45 +0530) using inlinedocs.
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