R 多个柱状图相互重叠，没有箱子

假设我有一个2级的数据帧。LC和HC。 现在我想得到两个图，如下所示，在彼此的顶部

data <- data.frame(
    welltype=c("LC","LC","LC","LC","LC","HC","HC","HC","HC","HC"),
    value=c(1,2,1,2,1,5,4,5,4,5))

---

data您可以使用相同的代码，除了点而不是绘图，用于向绘图添加额外的线

编造一些数据

set.seed(5)
d <- data.frame(x=c(rnorm(1000)+3, rnorm(1000)),
                g=rep(1:2, each=1000) )

在Aaron提供的方法旁边，还有一个ggplot解决方案（见下文），
但我强烈建议您使用密度，因为它们将提供更好的绘图，并且更易于构建：

# make data
wells <- c("LC","HC","BC")
Data <- data.frame(
    welltype=rep(wells,each=100),
    value=c(rnorm(100),rnorm(100,2),rnorm(100,3))
)

ggplot(Data,aes(value,fill=welltype)) + geom_density(alpha=0.2)

#生成数据
井
x1 <- d$x[d$g==1]
x2 <- d$x[d$g==2]
y1 <- hist(x1, plot=FALSE)
y2 <- hist(x2, plot=FALSE)
plot(y1$breaks, c(y1$counts,0), type="s",col="blue",
     xlim=range(c(y1$breaks, y2$breaks)), ylim=range(c(0,y1$counts, y2$counts)))
points(y2$breaks, c(y2$counts,0), type="s", col="red")

col <- c("blue", "red")
ds <- split(d$x, d$g)
hs <- lapply(ds, hist, plot=FALSE)
plot(0,0,type="n",
     ylim=range(c(0,unlist(lapply(hs, function(x) x$counts)))),
     xlim=range(unlist(lapply(hs, function(x) x$breaks))) )
for(i in seq_along(hs)) {
  points(hs[[i]]$breaks, c(hs[[i]]$counts,0), type="s", col=col[i])
}

library(lattice)
densityplot(~x, group=g, data=d)

# make data
wells <- c("LC","HC","BC")
Data <- data.frame(
    welltype=rep(wells,each=100),
    value=c(rnorm(100),rnorm(100,2),rnorm(100,3))
)

ggplot(Data,aes(value,fill=welltype)) + geom_density(alpha=0.2)

# make hists dataframe
hists <- tapply(Data$value,Data$welltype,
            function(i){
              tmp <- hist(i)
              data.frame(br=tmp$breaks,co=c(tmp$counts,0))
            })
ll <- sapply(hists,nrow)
hists <- do.call(rbind,hists)
hists$fac <- rep(wells,ll)

# make plot
require(ggplot2)
qplot(br,co,data=hists,geom="step",colour=fac)