如何在R上使用躲避的geom_boxplot为每个构面注释不同的值？ [英] How to annotate different values for each facet with dodged geom_boxplot on R?

问题描述

我试图使用组（填充）和构面在ggplot箱图中添加显着性星号。

I am trying to add significance asterisks to my ggplot boxplot, using groups (fill) and facets.

使用 geom_signif（）我可以添加诸如以下的栏：

Using geom_signif() I can add bars such as:

我也尝试对躲避的箱线图进行同样的操作。类似于

I am trying to do the same for the dodged boxplots too.. similar to

（假设存在有意义的值在较小的线条上方...）

(Imagine there were significance values above the smaller lines...)

前一个图形的代码：

数据：

library(ggplot2)
library(ggsignif)
df <- data.frame(iris,petal.colour=c("red","blue"), country=c("UK","France","France"))

第一个图：

     ggplot(df, aes(country,Sepal.Length))+
geom_boxplot(position="dodge",aes(fill=petal.colour))+
      facet_wrap(~Species, ncol=3)+
      geom_signif(comparisons = list(c("France", "UK")), map_signif_level=TRUE,
                  tip_length=0,y_position = 9, textsize = 4)

，对于较小的柱形

+geom_signif(annotations = c("", ""),
              y_position = 8.5, 
            xmin=c(0.75,1.75), xmax=c(1.25,2.25),tip_length=0)

让R完成工作会很棒，但是如果手动在这些较小的行上方添加文本会更容易，那么我也很好。

It would great to let R do the work, but if its easier to manually add text above these smaller lines then that's fine with me.

推荐答案

我不知道如何使用 geom_signif 。有关我的尝试，请参见第一部分。我能够使用 ggpubr 和 stat_compare_means 使其工作，我相信这是<$ c $的扩展c> geom_signif 。

I can't figure out how to get them to work for that group using geom_signif. See the first part for my attempt. I was able to get it to work using ggpubr and stat_compare_means, which I believe is an extension of geom_signif.

ggplot(df, aes(country,Sepal.Length)) +
  geom_boxplot(position="dodge",aes(fill=petal.colour)) +
  facet_wrap(~Species, ncol=3) +
  geom_signif(comparisons = list(c("France", "UK")), map_signif_level=TRUE,
              tip_length=0,y_position = 9, textsize = 4) + 
  geom_signif(y_position = 8.5, 
              xmin=c(0.75,1.75), xmax=c(1.25,2.25), tip_length=0, map_signif_level = c("***" = 0.001, "**" = 0.01, "*" = 0.05)) 

Warning messages:
1: In wilcox.test.default(c(4.9, 4.7, 5, 5.4, 5, 4.4, 5.4, 4.8, 4.3,  :
  cannot compute exact p-value with ties
2: In wilcox.test.default(c(7, 6.9, 5.5, 5.7, 6.3, 6.6, 5.2, 5.9, 6,  :
  cannot compute exact p-value with ties
3: In wilcox.test.default(c(6.3, 5.8, 6.3, 6.5, 4.9, 7.3, 7.2, 6.5,  :
  cannot compute exact p-value with ties
4: Computation failed in `stat_signif()`:
arguments imply differing number of rows: 6, 0 
5: Computation failed in `stat_signif()`:
arguments imply differing number of rows: 6, 0 
6: Computation failed in `stat_signif()`:
arguments imply differing number of rows: 6, 0 

使用 ggpubr 和 stat_compare_means 。请注意，您可以使用不同的标签和测试等。请参见？stat_compare_means 。

Using ggpubr and stat_compare_means. Note you can use different labels, and tests, etc. See ?stat_compare_means.

library(ggpubr)
ggplot(df, aes(country,Sepal.Length)) +
  geom_boxplot(position="dodge",aes(fill=petal.colour)) +
  facet_wrap(~Species, ncol=3) +
  stat_compare_means(aes(group = country), label = "p.signif", label.y = 10, label.x = 1.5) +
  stat_compare_means(aes(group = petal.colour), label = "p.format", label.y = 8.5)

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