可用于R中Tufte盒形图的功能？

我有一些数据，我已经分成足够多的组，标准箱线图看起来非常拥挤。塔夫特有他自己的箱线图，在其中，基本上可以放下全部或一半箱线，如下所示：

一些样本数据：

cw <- transform(ChickWeight, 
  Time = cut(ChickWeight$Time,4)
  )
cw$Chick <- as.factor( sample(LETTERS[seq(3)], nrow(cw), replace=TRUE) )
levels(cw$Diet) <- c("Low Fat","Hi Fat","Low Prot.","Hi Prot.")

---

cw您显然只需要一个垂直版本，因此我使用panel.bwclot代码，去掉所有非基本元素，如框和帽，并在参数中设置horizontal=FALSE，并创建了panel.tuftebxp函数。还将点的cex设置为默认值的一半。还有很多选择可以根据您的喜好进行调整。“时间”的“数字”因子名称看起来很草率，但我认为“概念证明”很清楚，你可以清理对你来说很重要的东西：

panel.tuftebxp <- 
function (x, y, box.ratio = 1, box.width = box.ratio/(1 + box.ratio), horizontal=FALSE,
    pch = box.dot$pch, col = box.dot$col, 
    alpha = box.dot$alpha, cex = box.dot$cex, font = box.dot$font, 
    fontfamily = box.dot$fontfamily, fontface = box.dot$fontface, 
    fill = box.rectangle$fill, varwidth = FALSE, notch = FALSE, 
    notch.frac = 0.5, ..., levels.fos = if (horizontal) sort(unique(y)) else sort(unique(x)), 
    stats = boxplot.stats, coef = 1.5, do.out = TRUE, identifier = "bwplot") 
{
    if (all(is.na(x) | is.na(y))) 
        return()
    x <- as.numeric(x)
    y <- as.numeric(y)
    box.dot <- trellis.par.get("box.dot")
    box.rectangle <- trellis.par.get("box.rectangle")
    box.umbrella <- trellis.par.get("box.umbrella")
    plot.symbol <- trellis.par.get("plot.symbol")
    fontsize.points <- trellis.par.get("fontsize")$points
    cur.limits <- current.panel.limits()
    xscale <- cur.limits$xlim
    yscale <- cur.limits$ylim
    if (!notch) 
        notch.frac <- 0
    #removed horizontal code
     blist <- tapply(y, factor(x, levels = levels.fos), stats, 
            coef = coef, do.out = do.out)
        blist.stats <- t(sapply(blist, "[[", "stats"))
        blist.out <- lapply(blist, "[[", "out")
        blist.height <- box.width
        if (varwidth) {
            maxn <- max(table(x))
            blist.n <- sapply(blist, "[[", "n")
            blist.height <- sqrt(blist.n/maxn) * blist.height
        }
        blist.conf <- if (notch) 
            sapply(blist, "[[", "conf")
        else t(blist.stats[, c(2, 4), drop = FALSE])
        ybnd <- cbind(blist.stats[, 3], blist.conf[2, ], blist.stats[, 
            4], blist.stats[, 4], blist.conf[2, ], blist.stats[, 
            3], blist.conf[1, ], blist.stats[, 2], blist.stats[, 
            2], blist.conf[1, ], blist.stats[, 3])
        xleft <- levels.fos - blist.height/2
        xright <- levels.fos + blist.height/2
        xbnd <- cbind(xleft + notch.frac * blist.height/2, xleft, 
            xleft, xright, xright, xright - notch.frac * blist.height/2, 
            xright, xright, xleft, xleft, xleft + notch.frac * 
                blist.height/2)
        xs <- cbind(xbnd, NA_real_)
        ys <- cbind(ybnd, NA_real_)
        panel.segments(rep(levels.fos, 2), c(blist.stats[, 2], 
            blist.stats[, 4]), rep(levels.fos, 2), c(blist.stats[, 
            1], blist.stats[, 5]), col = box.umbrella$col, alpha = box.umbrella$alpha, 
            lwd = box.umbrella$lwd, lty = box.umbrella$lty, identifier = paste(identifier, 
                "whisker", sep = "."))

        if (all(pch == "|")) {
            mult <- if (notch) 
                1 - notch.frac
            else 1
            panel.segments(levels.fos - mult * blist.height/2, 
                blist.stats[, 3], levels.fos + mult * blist.height/2, 
                blist.stats[, 3], lwd = box.rectangle$lwd, lty = box.rectangle$lty, 
                col = box.rectangle$col, alpha = alpha, identifier = paste(identifier, 
                  "dot", sep = "."))
        }
        else {
            panel.points(x = levels.fos, y = blist.stats[, 3], 
                pch = pch, col = col, alpha = alpha, cex = cex, 
                 identifier = paste(identifier, 
                  "dot", sep = "."))
        }
        panel.points(x = rep(levels.fos, sapply(blist.out, length)), 
            y = unlist(blist.out), pch = plot.symbol$pch, col = plot.symbol$col, 
            alpha = plot.symbol$alpha, cex = plot.symbol$cex*0.5, 
            identifier = paste(identifier, "outlier", sep = "."))

}
bwplot(weight ~ Diet + Time + Chick, data=cw, panel= 
         function(x,y, ...) panel.tuftebxp(x=x,y=y,...))

panel.tuftebxp这是我的函数。不幸的是，虽然它引用了panel.tuftebox，但我在学习R的前几个月编写了这段代码是为了一个非常特定的目的（因此，很遗憾，我无意对其进行推广），因此它从来没有作为单独的panel函数编写过

library(lattice)
library(taRifx)
compareplot(~weight | Diet * Time * Chick, 
  data.frame=cw , 
  main = "Chick Weights",
  box.show.mean=FALSE,
  box.show.whiskers=FALSE,
  box.show.box=FALSE
  )

这里是惯用的
ggplot
解决方案（或者更确切地说是一种优雅的黑客）

这是一个不使用任何软件包的解决方案，只需操作boxplot
PAR
图形参数即可。我的建议最接近@DWin，但是去掉颜色和轴，只使用几行代码。@gsk3和@Ramnath的两个建议都非常好，而且比我的建议先进得多，但如果我可以评论的话，它们没有涉及塔夫特的主要哲学。如果我们能摆脱灰色背景、白色“囚禁栏”和不必要的颜色，上述所有解决方案都将获得清晰、简单和正确的数据墨水平衡

应该归功于的创作者，他们包括了可爱的
chart.Boxplot
wrapper，灵感来自Tufte作品。我只是提取了函数的一些元素，使它更简单。只需附上@gsk3上面的“cw”样本数据

attach(cw)
par(mfrow=c(1,3))
boxplot(weight~Time, horizontal = F, main = "", xlab="Time", ylab="Weight", 
        pars = list(boxcol = "white", medlty = "blank", medpch=16, medcex = 1.3, 
        whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), axes = FALSE)
axis(1,at=1:4,label=c(1:4))
axis(2)
boxplot(weight~Chick, horizontal = F, main = "", xlab = "Chick", 
        ylab = "", pars = list(boxcol = "white", medlty = "blank", medpch=16, 
        medcex = 1.3, whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), 
        axes = FALSE)
axis(1,at=1:3,label=c("A","B","C"))
boxplot(weight~Diet, horizontal = F, main = "", xlab = "Diet", ylab = "", 
        pars = list(boxcol = "white", medlty = "blank", medpch=16, medcex = 1.3, 
        whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), axes = FALSE)
axis(1,at=1:4,label=c("LoFat","HiFat","LoProt","HiProt"))

在软件包
ggthemes
by中提供了制作一些簇状图的功能，可在上获得。该软件包为
ggplot
提供了一系列主题，包括：

geom_tufterangeframe
：Tufte的范围框架

geom_tufteboxplot
：Tufte盒形图

theme_tufte
：一种基于tufte的最小墨水，用于定量信息的视觉显示

下面是github上的软件包自述文件中的Tufte最小箱线图示例：

也很可爱。但遗憾的是，没有ggbwTufte函数。您可能想先阅读“W.A.Stock和J.T.Behrens.盒、线和中间间隙图：显示特征对胡须长度估计准确性和偏差的影响。教育统计杂志，16（1）：1-201991”，发现Tukey的箱线图变化不如经典形式。@hadley:可以。谢谢你的推荐。我想你是指塔夫特的版本，因为塔基的是经典形式？啊，是的，我的意思是塔夫特的变体是劣等的。希望你能编辑评论。@hadley:很酷的论文。再次感谢您的推荐。不过，我要指出的是，他们的“线图”（显示的结果几乎与经典的箱线图相同）更类似于第二种簇绒设计，这是我一直比较喜欢的设计。还有一个关于外部效度的问题，因为大学生几乎可以肯定看到的Tukey比Tufte箱型图更多。但是我会谨慎地使用它们，不管是什么都可以：-），做得很好。是的，肯定比其他的更像簇绒风格。
attach(cw)
par(mfrow=c(1,3))
boxplot(weight~Time, horizontal = F, main = "", xlab="Time", ylab="Weight", 
        pars = list(boxcol = "white", medlty = "blank", medpch=16, medcex = 1.3, 
        whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), axes = FALSE)
axis(1,at=1:4,label=c(1:4))
axis(2)
boxplot(weight~Chick, horizontal = F, main = "", xlab = "Chick", 
        ylab = "", pars = list(boxcol = "white", medlty = "blank", medpch=16, 
        medcex = 1.3, whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), 
        axes = FALSE)
axis(1,at=1:3,label=c("A","B","C"))
boxplot(weight~Diet, horizontal = F, main = "", xlab = "Diet", ylab = "", 
        pars = list(boxcol = "white", medlty = "blank", medpch=16, medcex = 1.3, 
        whisklty = c(1, 1), staplelty = "blank", outcex = 0.5), axes = FALSE)
axis(1,at=1:4,label=c("LoFat","HiFat","LoProt","HiProt"))