将 axis.text 标签与 ggplot 中数据框变量中包含的颜色相匹配

我想创建一个堆积条形图，其中我的axis.text从数据框中的变量获取颜色值，该变量还提供条形图的颜色值fill颜色。这非常重要，因为最终视觉效果的消费者将查看一系列这些条形图，因此我需要确保每种产品类型的颜色一致，即使数量值（以及顺序）会有所不同。以下是我能得到的最接近的。

# My data sample
df <- data.frame(x=1:4, Type = c("Metals", "Foodstuff", "Textiles", "Machinery"), myColour = c('blue', 'red', 'green', 'orange'), Amount = c(75, 50, 25, 5))

# Create factor to order by amount value
df$Type <- factor(df$Type, levels = df[order(df$Amount), "Type"])

# MAKE BAR
gg1 <- ggplot(df, aes(Type, Amount, fill = Type, color = myColour)) +
  geom_bar(stat = 'identity', position = 'dodge', show.legend = FALSE, width = .85, colour = 'lightgrey', fill = df$myColour) + 
  #ggtitle("Exports Profile (%)") +
  labs(x = NULL, y = NULL) +
  scale_y_continuous(breaks = waiver(), limits = c(0,100)) +
  theme(#plot.title = element_text(family= 'sans', color = 'black', size = 28), 
    #axis.title = element_text(family= 'sans', color = 'black', size = 24), 
    axis.text.y = element_text(colour = df$myColour, size = 18, face = 'bold'),
    axis.ticks.y = element_blank(),
    axis.text.x = element_text(colour = 'black', size = 16),
    axis.ticks.x = element_line(colour = 'grey60'),
    axis.ticks.length = unit(3, "mm"),
    axis.line = element_line(NULL),
    plot.background = element_rect(fill = NULL),
    panel.background = element_rect(fill = 'white', colour = 'white'),
    panel.grid.major.x = element_line(colour = 'grey60', linetype = 'dashed'),
    panel.grid.major.y = element_line(colour = 'grey60', linetype = 'dashed'),
    #panel.margin = unit(c(0,0,0,0), "mm"),
    aspect.ratio = (600/450)) + 
  coord_flip()
gg1

Which produces:

您的因子水平未与因子顺序的更改进行映射。

请注意，我对你的进行了更改df这样在重新排序时它确实会发生变化，变化是在Amount column.

df <- data.frame(x=1:4, Type = c("Metals", "Foodstuff", "Textiles", "Machinery"), 
        myColour = c('blue', 'red', 'green', 'orange'), Amount = c(50, 75, 25, 5))

帮自己一个忙，加载 tidyverse

library(tidyverse)

然后使用theme_set

theme_set(theme_classic()+
          theme(panel.grid.major.x = element_line(colour = 'grey60', linetype = 'dashed'),
                panel.grid.major.y = element_line(colour = 'grey60', linetype = 'dashed'),
                axis.ticks.y = element_blank(),
                axis.text.x = element_text(colour = 'black', size = 16),
                axis.ticks.x = element_line(colour = 'grey60'),
                axis.ticks.length = unit(3, "mm"),
                aspect.ratio = (600/450),
                axis.title.x=element_blank(),
                axis.title.y=element_blank()))

然后，您可以“破解”并重新调整因素（也许不是最好的方法，但可以完成）。

df %>% arrange(Amount) %>% 
    mutate(myColour = factor(myColour, myColour), 
               Type = factor(Type, Type)) -> df1

这样就可以更轻松地提取颜色级别作为绘图向量。

mycols <- as.vector(levels(df1$myColour))

然后绘制

ggplot(df1, aes(Type, Amount, color = myColour, fill = myColour)) + 
           geom_bar(stat = 'identity', position = 'dodge', show.legend = FALSE, width = .85) + 
           theme(axis.text.y = element_text(colour = mycols, size = 18, face = 'bold')) + 
           coord_flip() +
           scale_fill_manual(values = mycols) +
           scale_color_manual(values = mycols)

希望这对你有用。

这是无效的原始编辑，因此可以忽略：更改df$myColour to myColour在代码中的两个实例中。

有了这么多主题调整，您应该真正考虑使用theme_set以及。