質問

I am drawing dotplot() using lattice or Dotplot() using Hmisc. When I use default parameters, I can plot error bars without small vertical endings

--o--

but I would like to get

|--o--|

I know I can get

|--o--|

when I use centipede.plot() from plotrix or segplot() from latticeExtra, but those solutions don't give me such nice conditioning options as Dotplot(). I was trying to play with par.settings of plot.line, which works well for changing error bar line color, width, etc., but so far I've been unsuccessful in adding the vertical endings:

require(Hmisc)
mean = c(1:5)
lo = mean-0.2
up = mean+0.2
d = data.frame (name = c("a","b","c","d","e"), mean, lo, up)
Dotplot(name ~ Cbind(mean,lo,up),data=d,ylab="",xlab="",col=1,cex=1,
        par.settings = list(plot.line=list(col=1),
                       layout.heights=list(bottom.padding=20,top.padding=20)))

enter image description here

Please, don't give me solutions that use ggplot2...

役に立ちましたか?

解決

I've had this same need in the past, with barchart() instead of with Dotplot().

My solution then was to create a customized panel function that: (1) first executes the original panel function ; and (2) then uses panel.arrows() to add the error bar (using a two-headed arrow, in which the edges of the head form a 90 degree angle with the shaft).

Here's what that might look like with Dotplot():

# Create the customized panel function
mypanel.Dotplot <- function(x, y, ...) {
    panel.Dotplot(x,y,...)
        tips <- attr(x, "other")
        panel.arrows(x0 = tips[,1], y0 = y, 
                     x1 = tips[,2], y1 = y, 
                     length = 0.15, unit = "native",
                     angle = 90, code = 3)
}

# Use almost the same call as before, replacing the default panel function 
# with your customized function.
Dotplot(name ~ Cbind(mean,lo,up),data=d,ylab="",xlab="",col=1,cex=1,
        panel = mypanel.Dotplot,
        par.settings = list(plot.line=list(col=1),
                       layout.heights=list(bottom.padding=20,top.padding=20)))

enter image description here

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