GGPLOT2堆叠并组条形图一起

Question

我试图重现this

到目前为止，我有

但我需要相反 - 在顶部的标签，低于去年和和国家。

两个SO答案在这里

First和second

码

ggplot(ownership, aes(x = Country, y = Percent, fill = Category)) + 
geom_bar(stat = 'identity', position = 'stack') + facet_grid(~ Year) +
theme_tufte() +
scale_fill_brewer(palette = "Paired") +
theme(axis.title.y = element_blank()) +
theme(axis.title.x = element_blank()) +
theme(legend.text = element_text(size = 10)) +
theme(axis.text.x = element_text(size = 12)) +
theme(axis.text.y = element_text(size = 12)) +
theme(plot.margin = margin(0.1, 0.1, 0.1, 0.1, "cm")) +
theme(legend.position = "bottom") +
theme(legend.title = element_blank())

数据

> dput(ownership)

structure(list(Country = c("Cote d'Ivoire", "Cote d'Ivoire", 
"Ethiopia", "Ethiopia", "Kenya", "Kenya", "Nigeria", "Nigeria", 
"Senegal", "Senegal", "South Africa", "South Africa", "Uganda", 
"Uganda", "Cote d'Ivoire", "Cote d'Ivoire", "Ethiopia", "Ethiopia", 
"Kenya", "Kenya", "Nigeria", "Nigeria", "Senegal", "Senegal", 
"South Africa", "South Africa", "Uganda", "Uganda", "Cote d'Ivoire", 
"Cote d'Ivoire", "Ethiopia", "Ethiopia", "Kenya", "Kenya", "Nigeria", 
"Nigeria", "Senegal", "Senegal", "South Africa", "South Africa", 
"Uganda", "Uganda"), Year = c(2014, 2017, 2014, 2017, 2014, 2017, 
 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 
 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 
 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 2017, 2014, 
 2017, 2014, 2017), Percent = c(10, 7, 22, 35, 16, 9, 42, 34, 
 9, 11, 56, 50, 9, 9, 5, 7, 0, 0, 39, 47, 2, 5, 3, 10, 13, 17, 
 18, 24, 19, 27, 0, 0, 19, 26, 0, 0, 4, 22, 2, 2, 17, 26), Category = 
 c("Category A", 
 "Category A", "Category A", "Category A", "Category A", "Category A", 
 "Category A", "Category A", "Category A", "Category A", "Category A", 
 "Category A", "Category A", "Category A", "Category B", "Category B", 
 "Category B", "Category B", "Category B", "Category B", "Category B", 
 "Category B", "Category B", "Category B", "Category B", "Category B", 
 "Category B", "Category B", "Category C", "Category C", "Category C", 
 "Category C", "Category C", "Category C", "Category C", "Category C", 
 "Category C", "Category C", "Category C", "Category C", "Category C", 
 "Category C")), class = c("spec_tbl_df", "tbl_df", "tbl", "data.frame"
 ), row.names = c(NA, -42L), spec = structure(list(cols = list(
 Country = structure(list(), class = c("collector_character", 
 "collector")), Year = structure(list(), class = c("collector_double", 
 "collector")), Percent = structure(list(), class = c("collector_double", 
 "collector")), Category = structure(list(), class = 
 c("collector_character", 
 "collector"))), default = structure(list(), class = c("collector_guess", 
 "collector")), skip = 1), class = "col_spec"))

任何提示的感谢！

更新

改变X = Year和facet_grid(~ Country)后，我得到了与X轴的一些问题的一个更好的结果。 [R对待不同的一年，比我的预期。我有2014年和2017年，它为我提供了2014年，2016年，2017年。

Answer 1

不使用facet_grid(~ Year)，这将由两个年度侧曲线使两侧（如你现在）。

你可以有一个类似的图表要通过使用一个国家一年的变量，所以一个：

ownership$CountryYear <- paste(ownership$Country, ownership$Year) 

接着：

ggplot(ownership, aes(x = CountryYear, y = Percent, fill = Category)) + 
geom_bar(stat = 'identity', position = 'stack') + 
...

但是你可能要玩很多有标签得到酷似你的目标的一个图。

Answer 2

这让你关闭（使用模拟数据，因为你没有提供任何）：

library(ggplot2)
#make similar data
df <- expand.grid(country = letters[1:4],
                 year = c("2014", "2017"),
                 category = LETTERS[1:3])
df$percent <- runif(nrow(df))


ggplot(df, aes(year, percent, fill = category)) +
  geom_bar(stat = "identity") +
  facet_wrap(~country, ncol = 4, strip.position = "bottom") +
  theme(legend.position = "none")

由reprex package创建于2019年2月9日（v0.2.1）

Answer 3

亲自解决。我添加as.character()到x轴。

最终代码

ggplot(ownership, aes(x = as.character(Year), y = Percent, fill = Category)) + 
geom_bar(stat = 'identity', position = 'stack') + facet_grid(~ Country) +
theme_tufte() +
scale_fill_brewer(palette = "Paired") +
theme(axis.title.y = element_blank()) +
theme(axis.title.x = element_blank()) +
theme(legend.text = element_text(size = 10)) +
theme(axis.text.x = element_text(size = 12)) +
theme(axis.text.y = element_text(size = 12)) +
theme(legend.position = "bottom") +
theme(legend.title = element_blank()) 

完成！谢谢！