如何绘制带有排序水平误差线的图表（带有错误标记的排序条形图）？

Question

我想将平均值和标准误差绘制为水平条形图，我希望平均值排序。

我找到了使用晶格绘制水平排序条形图的方法，但我不知道如何添加错误标记。以下是我的数据和我提出的R代码。

data <- structure(c(0.67, 0.67, 0.76, 0.66, 0.71, 0.6, 0.52, 0.6, 0.71, 0.76, 
0.76, 0.71, 0.6, 0.61, 0.9, 0.5, 0.58, 0.84, 0.68, 0.88,
0.89, 0.96, 1, 0.95, 1, 1, 0.98, 0.78, 0.98, 1, 
1, 0.99, 1, 1, 0.95, 0.92, 1, 0.91, 1, 0.87, 
0.91, 0.72, 0.73, 0.55, 0.82, 0.87, 0.64, 0.75, 0.75, 1, 
0.81, 0.79, 1, 0.74, 0.57, 0.84, 1, 0.95, 0.78, 0.95), .Dim = c(20L, 3L), .Dimnames = list(
    c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", 
    "12", "13", "14", "15", "16", "17", "18", "19", "20"), c("A", 
    "B", "C")))

means <- apply(data, 2, mean)

errors <- apply(data, 2, sd)

plot.data <- data.frame(colnames(data), means, errors)

colnames(plot.data) <- c("var", "mean", "error")

library("lattice")
plot.new()

barchart(reorder(var, mean) ~ mean, plot.data, xlim = c(0, 1))

有没有办法在此图表中添加错误标记？如果没有，有关如何在R中绘制我想要的图表的任何建议吗？

提前谢谢！

Answer 1

请参阅R-Help：Adding error bars to lattice plots

prepanel.ci <- function(x, y, lx, ux, subscripts, ...) {
    x <- as.numeric(x)
    lx <- as.numeric(lx[subscripts])
    ux <- as.numeric(ux[subscripts])
    list(xlim = range(0, x, ux, lx, finite = TRUE))
}


panel.ci <- function(x, y, lx, ux, subscripts, ...) {
    x <- as.numeric(x)
    y <- as.numeric(y)
    lx <- as.numeric(lx[subscripts])
    ux <- as.numeric(ux[subscripts])
    panel.barchart(x, y, ...)
    panel.arrows(lx, y, ux, y, col = 'black',
                 length = 0.25, unit = "native",
                 angle = 90, code = 3)
}

p <- barchart(reorder(var, mean) ~ mean, data=plot.data,
              lx=plot.data$mean-plot.data$error,
              ux=plot.data$mean+plot.data$error,
              panel=panel.ci,
              prepanel=prepanel.ci)
print(p)

lattice barchart with error bar http://img689.imageshack.us/img689/9011/errorbar.png

Answer 2

如果它不必是格子，这里是一个使用基本R功能的简单函数，它提供了三个参数：条形的宽度（xv），误差条的长度（向上和向下） （z）和y轴（nn）上的条形标签。

error.bars<-function(xv,z,nn){
par(las = 1)
yv <- barplot(xv,horiz = TRUE,col="cyan",xlim=c(0,(max(xv)+max(z))),names=nn,xlab=deparse(substitute(xv)))
g <- (max(yv)-min(yv))/(3*length(yv)) 
for (i in 1:length(yv)) {
lines(c(xv[i]+z[i],xv[i]-z[i]),c(yv[i],yv[i]))
lines(c(xv[i]+z[i],xv[i]+z[i]),c(yv[i]+g,yv[i]-g))
lines(c(xv[i]-z[i],xv[i]-z[i]),c(yv[i]+g,yv[i]-g))
}}

plot.data <- plot.data[order(plot.data$mean),] # reorder data
mean<-as.vector(plot.data$mean)
se<-as.vector(plot.data$error)
labels<-as.character(plot.data$var)

error.bars(mean,se,labels)