You can define a panel
function like this :
library(lattice)
bwplot(num~type,panel=function(x,y,...){
panel.bwplot(x,y,...)
panel.stripplot(x,y,col=cols,...)
})
문제
##Example data to illustrate problem:
type=c("grp1","grp2","grp1","grp3","grp3","grp3","grp4")
num=c(1,1,2,4,3,5,1)
cols=c(rep("red",5),"green","red")
library(lattice)
bwplot(num~type)
par(new=T)
stripplot(num~type,col=cols)
I like the additional information displayed by the box plot but I need the information conveyed by the coloured points in the strip chart. Obviously par(new=T) doesn't work, so how can I overlay the points onto the box plot?
해결책
You can define a panel
function like this :
library(lattice)
bwplot(num~type,panel=function(x,y,...){
panel.bwplot(x,y,...)
panel.stripplot(x,y,col=cols,...)
})
다른 팁
the answer by agstudy is quite good, though as I pointed out in a comment, any outliers plotted by bwplot will also be plotted by stripplot, which could get confusing.
Note this is only an issue if you were using jitter.data=TRUE
as an option to stripplot
, otherwise the duplicate points would plot directly over top of one another and you'd never know they were there. If the data had outliers, and you used jitter.data=TRUE
, you'd see twice as many outliers as you should.
the following approach suppresses the outliers from bwplot
to avoid this issue:
bwstrip <- function(x,y,...){
panel.stripplot(x,y,col=cols,do.out=FALSE,jitter.data=TRUE,...)
panel.bwplot(x,y,...)
}
bwplot(lobe.depths,panel=bwstrip)