如何创建一个分面绘图，每个分面都有特定的标题和副标题？

Question

生成一个包含每列标题和副标题的综合图表，以及每个图表的垂直线的分离图表：

我已经使用柱状图为一列创建了带有垂直线的图表。

library(ggplot2)
library(gridExtra)
library(tidyr)

actualIris <- data.frame(Sepal.Length=6.1, Sepal.Width=3.1, Petal.Length=5.0, Petal.Width=1.7)

# Sepal Length
oneTailed <- sum(actualIris$Sepal.Length < iris$Sepal.Length)/nrow(iris)

plot1SL <- ggplot(iris, aes(x=Sepal.Length)) + geom_histogram() + 
  geom_vline(xintercept = actualIris$Sepal.Length, col = "blue", lwd = 2) + 
  labs(title='Distribution of Sepal Length', x='Sepal Length', y='Frequency',
       subtitle=paste('one-tailed test=', oneTailed, sep='')) + theme_bw()

下面的代码只是其他三列的重复。 （您可以忽略它）。

# Sepal Width
oneTailed <- sum(actualIris$Sepal.Width < iris$Sepal.Width)/nrow(iris)

plot1SW <- ggplot(iris, aes(x=Sepal.Width)) + geom_histogram() + 
  geom_vline(xintercept = actualIris$Sepal.Width, col = "blue", lwd = 2) + 
  labs(title='Distribution of Sepal Width', x='Sepal Width', y='Frequency',
       subtitle=paste('one-tailed test=', oneTailed, sep='')) + theme_bw()

# Petal Length
oneTailed <- sum(actualIris$Petal.Length < iris$Petal.Length)/nrow(iris)

plot1PL <- ggplot(iris, aes(x=Petal.Length)) + geom_histogram() + 
  geom_vline(xintercept = actualIris$Petal.Length, col = "blue", lwd = 2) + 
  labs(title='Distribution of Petal Length', x='Petal Length', y='Frequency',
       subtitle=paste('one-tailed test=', oneTailed, sep='')) + theme_bw()

# Petal Width
oneTailed <- sum(actualIris$Petal.Width < iris$Petal.Width)/nrow(iris)

plot1PW <- ggplot(iris, aes(x=Petal.Width)) + geom_histogram() + 
  geom_vline(xintercept = actualIris$Petal.Width, col = "blue", lwd = 2) + 
  labs(title='Distribution of Petal Width', x='Petal Width', y='Frequency',
       subtitle=paste('one-tailed test=', oneTailed, sep='')) + theme_bw()

# Combine the plots
grid.arrange(plot1SL, plot1SW, plot1PL, plot1PW, nrow=1)

它的结果是下面的图表：

在创建了长数据之后，我尝试使用facet_wrap来创建单一图形，而不是组合多个单一图形。

tmp <- iris[,-5] %>% gather(Type, value)
#actualIris <- data.frame(Sepal.Length=6.1, Sepal.Width=3.1, Petal.Length=5.0, Petal.Width=1.7)
actuals <- data.frame(col1=colnames(actualIris), col2=as.numeric(actualIris[1,]))
tmp$Actual <- actuals$col2[match(tmp$Type, actuals$col1)]
tmp$Type <- factor(tmp$Type, levels = c('Petal.Length', 'Petal.Width', 'Sepal.Length', 'Sepal.Width'), 
                   labels = c('Petal Length', 'Petal Width', 'Sepal Length', 'Sepal Width'))
ggplot(tmp, aes(value)) + facet_wrap(~Type, scales="free", nrow = 1) + geom_histogram() + 
  geom_vline(aes(xintercept=Actual), colour="blue", lwd=2) 

我尝试使用labeller选项更改面板标签，但它没有起作用。（然而，这不是主要问题。）

ggplot(tmp, aes(value)) + geom_histogram() + 
  facet_wrap(~Type, scales="free", nrow = 1, 
             labeller = as_labeller(paste('Distribution of ', levels(~Type), sep=''))) + 
  geom_vline(aes(xintercept=Actual), colour="blue", lwd=2) 

如何使用创建的长数据tmp创建类似于第一个图表的情节？

- Prradep

Answer 1

您可以制作定制化的两行标签：

labels <- c(paste('Petal Length\none-tailed test=', round(sum(actualIris$Sepal.Length < iris$Sepal.Length)/nrow(iris), 2)),
            paste('Petal Width\none-tailed test=', round(sum(actualIris$Sepal.Width < iris$Sepal.Width)/nrow(iris), 2)),
            paste('Sepal Length\none-tailed test=', round(sum(actualIris$Petal.Length < iris$Petal.Length)/nrow(iris), 2)),
            paste('Sepal Width\none-tailed test=', round(sum(actualIris$Petal.Width < iris$Petal.Width)/nrow(iris), 2)))

tmp <- iris[,-5] %>% gather(Type, value)
actuals <- data.frame(col1=colnames(actualIris), col2=as.numeric(actualIris[1,]))
tmp$Actual <- actuals$col2[match(tmp$Type, actuals$col1)]
tmp$Type <- factor(tmp$Type, levels = c('Petal.Length', 'Petal.Width', 'Sepal.Length', 'Sepal.Width'), 
                   labels = labels)
ggplot(tmp, aes(value)) + facet_wrap(~Type, scales="free", nrow = 1) + geom_histogram() + 
  geom_vline(aes(xintercept=Actual), colour="blue", lwd=2) 

听好了：

这是一个图片链接，无法翻译。

- juanmah