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ggplot - 多个箱图

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我正在尝试使用因子混合创建这个数据集的箱形图（3个箱图组合）：

daf <- read.table("http://pastebin.com/raw.php?i=xxYjmdgD", header=T, sep="\t")

这是样本的样子：

ia mix   Rs
1                                    Fluazinam   1 0.62
2                                    Fluazinam   1 0.76
3                                    Fluazinam   1 0.76
4                                    Fluazinam   1 0.52
5                                    Fluazinam   1 0.56
6                                    Fluazinam   1 0.20
7                                    Fluazinam   1 0.98
235 Carbendazim+Cresoxim-Metílico+Tebuconazole   3 0.65
236 Carbendazim+Cresoxim-Metílico+Tebuconazole   3 0.28
237 Carbendazim+Cresoxim-Metílico+Tebuconazole   3 0.41

这些是我失败的尝试！

library(ggplot2) 

qplot( Rs, ia, data=daf) + 
  facet_grid(mix ~ ., scales = "free", space = "free", labeller = label_both)

enter image description here

»当我添加 qplot( Rs, ia, data=daf, geom="boxplot") 它只是显示一条线，而不是框 .

ggplot(data=daf, aes(x=ia, y=Rs))+
  geom_boxplot(outlier.colour = "black", outlier.size = 2)  +  
  coord_flip() +  theme_bw() +
  scale_y_continuous(breaks=seq(0,1,by=0.25))+
  stat_summary(fun.y = mean, geom="point", shape = 4, size = 3, colour = "blue") +
  facet_grid(mix ~. , scales = "free", space="free", labeller = label_both)

enter image description here

»它将每个“ia”级别重复到每个“混合”级别

ggplot(data=daf, aes(x=ia, y=Rs))+
  geom_boxplot(outlier.colour = "black", outlier.size = 2)  +  
  layer(data = a, mapping = aes(x = ia, y= 0, label=a$Rs.median),
        geom = "text", color="NavyBlue", size=3.5) +
  coord_flip() +  theme_bw() +
  scale_y_continuous(breaks=seq(0,1,by=0.25))+
  stat_summary(fun.y = mean, geom="point", shape = 4, size = 3, colour = "blue")

enter image description here

最后，我想要三个图的组合：

从第一个图，facet.grid（不重复“ia”变量），从第二个，框，从第三个图中左边内边距的中值，如果可能的话，进入每个级别因子“混合”，用中值重新排序“ia”...

有人可以帮我吗？

提前致谢！

r ggplot2 boxplot

2 回答

  • 3

    geom_boxplot 假设分类变量位于x轴上 . coord_flip 与 facet_grid geom_boxplot 无法合作 . 一种解决方法是旋转文本 . 您可以在另一个程序中导出和旋转图像（或弄清楚如何拉出grid对象并旋转它） .

    a = ddply(daf, .(ia,mix), function(x) c(Rs=median(x$Rs, na.rm=TRUE)))

ggplot( data=daf, aes(x=ia, y=Rs) ) + 
  geom_boxplot() +
  facet_wrap(~mix, scales="free_x") +
  stat_summary(fun.y = mean, geom="point", shape = 4, size = 3, colour = "blue") +
  theme(axis.text.x=element_text(angle = 90, hjust = 1, vjust=0.5)) +
  theme(axis.title.x=element_text(angle = 90, vjust=0.5)) +
  theme(axis.text.y=element_text(angle = 90, hjust=0.5)) +
  theme(strip.text=element_text(angle = 90, hjust=0.5)) +
  geom_text(data = a, mapping = aes(x = ia, y= 0.02, label=round(Rs,2)),
        color="NavyBlue", size=3.5, angle=90, hjust=1) +
  ylim(-0.03,1)

    enter image description here

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  • 1

    我找到https://github.com/lionel-/ggstance并且认为我会做出另一个答案 .

    library(devtools)
devtools::install_github("lionel-/ggstance")

library(ggplot2)
library(ggstance)
daf <- read.table("http://pastebin.com/raw.php?i=xxYjmdgD", header=T, sep="\t")

library(dplyr)
a = daf %>% 
  group_by(ia, mix) %>%
  summarize(Rs=mean(Rs))

ggplot(daf, aes(x=Rs, y=ia)) +
  geom_boxploth() +
  geom_point(data=a, shape = 4, size = 3, colour = "blue") +
  geom_text(data = a, mapping = aes(y = ia, x=0, label=round(Rs,2)),
            color="NavyBlue", size=3.5, hjust=0) +
  facet_grid(mix~., scales="free_y")

    enter image description here

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