Reputation: 297
I am trying to bluid a plot with ggplot2 where on the X-axis I could find some way of having a label for groups of variables. Here is a minimal version of my code:
Bzero <-100*matrix(runif(100),ncol=10,nrow=10)
B <-99
LNtype <-c(1,1,1,1,2,2,2,3,3,3)
LNnames <-c('grp1','grp2','grp3')
tB <-t(Bzero)/(B+1)
dfB <-data.frame(tB)
dfB$grp <-LNtype
dfB$vid <-1:nrow(tB)
mB0 <- melt(dfB,id.vars=c('grp','vid'))
mB0 <- mB0[order(mB0$grp,mB0$vid),]
gg0 <- ggplot(mB0,aes(x=vid,y=variable))
gg0 <- gg0 + geom_tile(aes(fill = value),colour = "white")
gg0 <- gg0 + scale_fill_gradient(low = "green", high = "red",na.value='white',limits=c(0,1),name='p0i')
gg0 <- gg0 + xlab('Equation')+ylab('Covariate')
Here's the resulting plot:
And here is what I'd like to have:
I have been tinkering with the scale, breaks, and labels to no avail. Even a massive amount of googling did reveal any plot with that kind of axis. Is there any way to get what I want?
Upvotes: 4
Views: 2454
Reputation: 98589
You can replace numbers with groups using scale_x_continuous()
and setting breaks at desired positions. With geom_segment()
you can add those black lines to group data.
gg0+
geom_segment(aes(x=0.5,y=0.5,xend=10.5,yend=0.5))+
geom_segment(aes(x=c(0.5,4.5,7.5,10.5),
xend=c(0.5,4.5,7.5,10.5),y=rep(0.5,4),yend=rep(1,4)))+
scale_x_continuous("",breaks=c(2.5,6,9),labels=c("Group1","Group2","Group3"))
Upvotes: 5