当指定组时,在ggplot2中使用facet_wrap的geom_text

13

在使用ggplot2制作分面图时,我发现当同时指定分组参数时,在每个分面中获取单独的标签会有问题。如果不指定group = ...,就没事了,但我想制作强调治疗前后变化的配对数据的图表。

这是一个例子:

library(tidyr)
library(ggplot2)

set.seed(253)
data <- data.frame(Subject = LETTERS[1:10],
                   Day1.CompoundA = rnorm(10, 4, 2),
                   Day2.CompoundA = rnorm(10, 7, 2),
                   Day1.CompoundB = rnorm(10, 5, 2),
                   Day2.CompoundB = rnorm(10, 5.5, 2))

# Compare concentration of compounds by day
A <- t.test(data$Day1.CompoundA, data$Day2.CompoundA, paired = TRUE)
B <- t.test(data$Day1.CompoundB, data$Day2.CompoundB, paired = TRUE)

data.long <- gather(data, key = DayCompound, value = Concentration, -Subject) %>%
      separate(DayCompound, c("Day", "Compound"))

# text to annotate graphs
graphLabels <- data.frame(Compound = c("CompoundA", "CompoundB"),
                          Pval = paste("p =", c(signif(A$p.value, 2), 
                                                signif(B$p.value, 2))))

好的,现在数据已经准备好了,我可以成功地制作出箱线图:

ggplot(data.long, aes(x = Day, y = Concentration)) +
      geom_boxplot() +
      facet_wrap(~ Compound) +
      geom_text(data = graphLabels, aes(x = 1.5, y = 10, label = Pval))

boxplot example

但是,如果我想展示突出数据成对性质的折线图并使用不同颜色显示每个受试者的数据,则将无法使用分面标签。

ggplot(data.long, aes(x = Day, y = Concentration, color = Subject, group = Subject)) +
      geom_point() + geom_line() +
      facet_wrap(~ Compound) +
      geom_text(data = graphLabels, aes(x = 1.5, y = 10, label = Pval))

# Error in eval(expr, envir, enclos) : object 'Subject' not found

有什么建议吗?

1个回答

23

当您在顶级ggplot()调用中映射美学(即aes(...,color = Subject))时,这些映射将传递给每个图层,这意味着每个图层都希望数据具有这些名称的变量。

您可以在每个图层中分别指定数据和映射,或者明确取消映射:

结果翻译为:

当您在最高层 ggplot() 调用中设置了美学映射(例如 aes(...,color = Subject)),则这些映射会传递到每个图层,这意味着每个图层都需要相应名称的变量。

您可以在每个图层中单独指定数据和映射,或者明确取消映射:

ggplot(data.long, aes(x = Day, y = Concentration, color = Subject, group = Subject)) +
    geom_point() + geom_line() +
    facet_wrap(~ Compound) +
    geom_text(data = graphLabels, aes(x = 1.5, y = 10, label = Pval,color = NULL,group= NULL))

还有一个inherit.aes参数,在你不想拉入其他映射的任何图层中,你可以将其设置为FALSE

ggplot(data.long, aes(x = Day, y = Concentration, color = Subject, group = Subject)) +
    geom_point() + geom_line() +
    facet_wrap(~ Compound) +
    geom_text(data = graphLabels, aes(x = 1.5, y = 10, label = Pval),inherit.aes = FALSE)

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