geom_text位置在条形图中间

时间:2017-01-26 15:59:17

标签: r ggplot2 bar-chart stackedbarseries

需要帮助对齐条形图上的标签。

以下是可重现的代码:

library(ggmap)
library(ggplot2)
library(gganimate)
library(readxl)
library(animation)

mydf1<-structure(list(year = c(1994, 1995, 1997, 1997, 1998, 1998, 2000, 
2000, 2001, 2001, 2002, 2002, 2004, 2005, 2005, 2006, 2006, 2007, 
2007, 2008, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2015, 
2016, 2016, 2016, 2016), N = c(3L, 1L, 1L, 4L, 1L, 4L, 1L, 2L, 
1L, 5L, 1L, 2L, 1L, 1L, 4L, 1L, 3L, 1L, 2L, 1L, 5L, 2L, 2L, 6L, 
4L, 1L, 1L, 2L, 1L, 1L, 3L, 4L, 1L), channels = c(86, 24, 24, 
68, 6, 34, 22, 10, 14, 24, 16, 43, 4, 20, 56, 15, 20, 8, 11, 
24, 44, 9, 23, 65, 20, 12, 5, 43, 5, 4, 24, 53, 14), 
reliability = c(0.466666666666667, 
1, 0.2, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), type = c("OIL", "LNG", 
"AGS", "OIL", "LNG", "OIL", "LNG", "OIL", "LNG", "OIL", "LNG", 
"OIL", "OIL", "LNG", "OIL", "LNG", "OIL", "LNG", "OIL", "LNG", 
"OIL", "OIL", "OIL", "OIL", "OIL", "OIL", "LNG", "LNG", "OIL", 
"AGS", "LNG", "LNG*", "OIL")), .Names = c("year", "N", 
"channels", "reliability", "type"), row.names = c(NA, -33L), class = "data.frame")

p3<-ggplot(data=mydf1, aes(x=year, y=channels, frame=year, cumulative=TRUE, fill=type))+
geom_bar(stat="identity")+labs(x="year", y="y")+
geom_text(aes(label=channels), vjust=1, color="white", size=3)+theme_minimal()+
ggtitle("Data here", "statistics")
p3

问题在于标签的位置 - 它们与相应的条形图不匹配。请参阅图片以获取解释。

enter image description here

如何在相应栏的中间添加标签?

1 个答案:

答案 0 :(得分:5)

根据ggplot2的最新更新,您可以在position = position_stack(vjust = 0.5)中设置geom_text()来完成此操作。

您可能还感兴趣的是,您可以使用geom_col()作为geom_bar(stat = "identity")的快捷方式。此外,labs还有标题和副标题参数,因此您无需使用ggtitle

ggplot(data = mydf1, aes(x = year, y = channels, fill = type, frame = year, cumulative = TRUE)) +
  geom_col() +
  labs(x = "year", y = "y", title = "Data Here", subtitle = "Statistics") +
  geom_text(aes(label = channels), color = "white", size = 3, position = position_stack(vjust = 0.5)) + 
  theme_minimal()

enter image description here