Boxlot以平均值排列 [英] Boxplots ranked by mean value

问题描述

我想显示多个变量的箱型图，并按照降序排列它们，就像在 Performance Analytics 包中一样。我使用下面的代码来生成箱形图：

  zx<  -  replicate（5，rnorm（50））
 zx_means < - （colMeans（zx，na.rm = TRUE））
 boxplot（zx，horizo​​ntal = FALSE，outline = FALSE）
 points（zx_means，pch = 22，col =darkgrey ，lwd = 7）
  

到目前为止，我还没有能够想出一个方法来对它们进行排名如上所述。我尝试过使用 sort 和 order ，但是目前为止没有任何令人满意的结果。

任何帮助都将倍受赞赏。

<$ c
$ b

  colnames（zx）< -  seq_len  c> order  （zx_means [order（zx_means）]，pch = 22，col =
 boxplot（zx [，order（zx_means）]，horizo​​ntal = FALSE，outline = FALSE） darkgrey，lwd = 7）
  

I would like to show boxplots for multiple variables, and rank them by column means in descending order, just like in the Performance Analytics package. I use the following code to generate the boxplots:

zx <- replicate (5, rnorm(50))
zx_means <- (colMeans(zx, na.rm = TRUE))
boxplot(zx, horizontal = FALSE, outline = FALSE)
points(zx_means, pch = 22, col = "darkgrey", lwd = 7)

So far I have not been able to come up with a way to rank them as described above. I have tried using both sort and order, but without any satisfying results so far.

Any help would be much appreciated.

解决方案

order works fine for me!?:

colnames (zx) <- seq_len (ncol (zx))
boxplot(zx [, order (zx_means)], horizontal = FALSE, outline = FALSE)
points(zx_means [ order (zx_means)], pch = 22, col = "darkgrey", lwd = 7)

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