我想创建一个堆叠的条形图,其中我的axis.text
从数据框中的变量中获取颜色值,该变量也提供了条形图的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,因此即使Amount值(因此顺序)会有所不同,我也需要确保每种产品类型的颜色都一致。下面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$myColour, size = 18, face = 'bold'),
axis.ticks.y = element_blank(),
axis.text.x = element_text(colour = 'black', size = 16),
axis.ticks.x = element_line(colour = 'grey60'),
axis.ticks.length = unit(3, "mm"),
axis.line = element_line(NULL),
plot.background = element_rect(fill = NULL),
panel.background = element_rect(fill = 'white', colour = 'white'),
panel.grid.major.x = element_line(colour = 'grey60', linetype = 'dashed'),
panel.grid.major.y = element_line(colour = 'grey60', linetype = 'dashed'),
#panel.margin = unit(c(0,0,0,0), "mm"),
aspect.ratio = (600/450)) +
coord_flip()
gg1
您的因子水平未与因子顺序的更改相对应。
[请注意,我对您的df
进行了更改,以便在重新排序时确实可以更改,更改位于Amount
列中。
df <- data.frame(x=1:4, Type = c("Metals", "Foodstuff", "Textiles", "Machinery"),
myColour = c('blue', 'red', 'green', 'orange'), Amount = c(50, 75, 25, 5))
帮自己一个忙,加载tidyverse
library(tidyverse)
然后使用theme_set
theme_set(theme_classic()+
theme(panel.grid.major.x = element_line(colour = 'grey60', linetype = 'dashed'),
panel.grid.major.y = element_line(colour = 'grey60', linetype = 'dashed'),
axis.ticks.y = element_blank(),
axis.text.x = element_text(colour = 'black', size = 16),
axis.ticks.x = element_line(colour = 'grey60'),
axis.ticks.length = unit(3, "mm"),
aspect.ratio = (600/450),
axis.title.x=element_blank(),
axis.title.y=element_blank()))
然后您可以“破解”并重新调整因素(也许不是最好的方法,但是可以完成)。
df %>% arrange(Amount) %>% mutate(myColour = factor(myColour, myColour), Type = factor(Type, Type)) -> df1
然后可以更轻松地将颜色级别作为绘制矢量。
mycols <- as.vector(levels(df1$myColour))
然后情节
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)
希望对您有用。
这是无效的原始编辑,因此可以忽略:在代码的两个实例中将df$myColour
更改为myColour
。
通过这么多的主题调整,您还应该真正考虑使用theme_set
。