r - ggplot2 堆叠条形图，将 NA 放在顶部-6ren

r - ggplot2 堆叠条形图，将 NA 放在顶部

转载作者：行者123 更新时间：2023-12-04 16:29:44

答案here有很多关于在堆积条形图中排序条形部分的重要信息。在尝试了各种替代方案并获得了我想要的大部分订单之后，NA 一直出现在堆栈的底部，这是我不喜欢的。

ggplot(df, aes(x=time, fill=forcats::fct_rev(factor(able, levels=rev(likely))))) + 
  geom_bar() + 
  theme(axis.text.x = element_text(angle = 315, hjust = 0), 
        plot.margin = margin(10, 40, 10, 10))

x 轴上的 NA 在最后，这很棒。总的来说，将 NA 放在最后可能很棒。但是对于堆叠条，我认为开始是底部，结束是顶部(因为底部的东西更容易比较。)

(Marimekko 图表可能会更好，但在尝试让 ggmosaic 和其他各种东西工作一段时间后我放弃了。)

编辑:我发现了一些代码，我修改了这些代码来制作 Marimekko 图表(我想表扬一下，但忘记了我在哪里找到它。)它确实将 NA 放在了顶部。

df %>%
group_by(satisfied, time) %>%
summarise(n = n()) %>%
mutate(x.width = sum(n)) %>%

ggplot(aes(x=satisfied, y=n)) +
geom_col(aes(width=x.width, fill=time),
         colour = "white", size=2, position=position_fill(reverse = T)) +
geom_text(aes(label=n),
           position=position_fill(vjust = 0.5)) +
facet_grid(~ satisfied, space = 'free', scales='free', switch='x') +
#scale_x_discrete(name="a") +
scale_y_continuous(labels=scales::percent) +
theme(axis.text.x = element_blank(),
      axis.ticks.x = element_blank(),
      axis.title.y = element_blank(),
      strip.text = element_text(angle = 270, hjust = 0),
      strip.background = element_blank(),
      panel.spacing = unit(0,'pt'))

应@z-lin 的要求序列化数据:

> dput(df)
structure(list(explanatory = c(8L, 3L, 13L, 10L, 5L, 9L, NA, 
5L, 1L, 4L, 4L, 3L, 2L, 2L, 2L, NA, 2L, NA, 4L, 3L, 2L, NA, 6L, 
NA, 2L, 6L, 5L, 1L, 3L, 2L, 1L, NA, 3L, 2L, 5L, 6L, 3L, 7L, 13L, 
4L, 4L, 3L, 1L, 2L, 2L, NA, 7L, 1L, NA, 12L, 13L, 4L, 6L, 2L, 
3L, 1L, 1L, 1L, 3L, 9L, 6L, 4L, 5L, 2L, 10L, 4L, 7L, NA, 4L, 
5L, 1L, 7L, 12L, 4L, 1L, 2L, 5L, 3L, 13L, 6L, 13L, 4L, NA, 2L, 
7L, 4L, 12L, 3L, 2L, 5L, 9L, 6L, 13L, 2L, 12L, 4L, 13L, 2L, 7L, 
NA, NA, NA, 4L, 5L, NA, NA, 7L, 5L, 5L, NA, 2L, 4L, 5L, 13L, 
5L, 2L, 2L, 4L, 7L, 4L, 7L, 6L, 5L, 5L, NA, 3L, 2L, NA, 3L, 5L, 
11L, 2L, 2L, 3L, 3L, 9L, 1L, 2L, 3L, 5L, 12L, 2L, 5L, 3L, 5L, 
5L, 12L, 2L, 2L, 3L, 4L, 1L, 1L, 3L, 2L, 3L, 4L, 13L, 3L, 3L, 
NA, NA, 6L, 5L, 3L, 1L, 8L, 6L, 9L, 5L, 8L, 1L, 1L, 3L, 5L, 6L, 
3L, 1L, 1L, 8L, 4L, 13L, 13L, 4L, 2L, NA, 3L, 1L, 3L, 4L, 5L, 
1L, 5L, 8L, 1L, 4L, 5L, 4L, 4L, 12L, 9L, NA, 2L, NA, NA, 5L, 
4L, 1L, 12L, 6L, NA, NA, NA, 4L, 12L, NA, 4L, 2L, 11L, NA, 5L, 
2L, 2L, 1L, NA, 6L, NA, 12L, 3L, 2L, 4L, NA, 1L, 6L, 8L, NA, 
4L, 6L, 5L, 6L, NA, 4L, NA, 2L, 7L, 8L, 3L, 6L, NA, 4L, NA, 2L, 
6L, 4L, 5L, NA, 12L, 2L, 12L, 6L, 6L, 13L, NA, 3L, 4L, 2L, NA, 
11L, 12L, 4L, 8L, 5L, 1L, 5L, 1L, 1L, 7L, 4L, 1L, 2L, 7L, 2L, 
3L, 5L, NA, 5L, 4L, NA, 6L, 9L, 2L, 1L, NA, 5L, 4L, NA, 1L, 6L, 
5L, 2L, 9L, 4L, 5L, 3L, 5L, 10L, 6L, 4L, 12L, 3L, 12L, 2L, 1L, 
1L, 5L, 9L, 2L, 2L, 2L, NA, 11L, 4L, 9L, NA, 12L, 2L, 1L, 10L, 
4L, 3L, 5L, NA, 10L, 3L, 2L, 8L, 3L, 4L, 9L, 4L, 10L, 1L, 2L, 
6L, 13L, 8L, 4L, 4L, 9L, 1L, 2L, 4L, 1L, 8L, 5L, 9L, 9L, 4L, 
4L, 6L, 3L, 1L, 2L, 5L, 3L, 1L, 1L, 12L, 1L, 2L, 3L, 4L, 10L, 
2L, 2L, 4L, 5L, 7L, 7L, 5L, 4L, 3L, 4L, 6L, 13L, 3L, NA, 3L, 
2L, 2L, 1L, NA, NA, 1L, NA, 4L, 2L, 8L, 4L, 8L, 3L, NA, 2L, 8L, 
8L, 4L, 5L, 4L, 2L, 4L, 2L, 5L, 1L, 6L, 5L, 7L, 4L, 3L, 5L, 3L, 
3L, 2L, 4L, 3L, 1L, 6L, 4L, 2L, 13L, 13L, NA, 5L, 5L, 2L, 5L, 
2L, 8L), response = c(3L, 5L, 4L, 4L, 4L, 3L, NA, 4L, 5L, 5L, 
4L, 4L, 5L, 5L, 4L, NA, 4L, NA, 2L, 5L, 4L, 4L, 5L, 4L, 5L, 3L, 
4L, 5L, 5L, 3L, 5L, 4L, 5L, 5L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 5L, 
5L, 5L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 5L, 
4L, 3L, 5L, 4L, 5L, 4L, 4L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 2L, 5L, 
5L, 4L, 3L, 5L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 3L, 4L, 3L, 4L, 
3L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 4L, NA, NA, NA, 5L, 4L, NA, NA, 
4L, 4L, 4L, NA, 4L, 5L, 3L, 4L, 4L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 
5L, 5L, 2L, 4L, 4L, NA, 4L, 5L, 4L, 3L, 4L, 4L, 5L, 4L, 4L, 4L, 
3L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 3L, 2L, 
5L, 5L, 5L, 5L, 2L, 5L, NA, NA, 4L, 3L, 4L, 4L, 4L, 4L, 2L, 3L, 
4L, 4L, 4L, 4L, 5L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 4L, 4L, 
3L, 4L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 3L, NA, 
5L, NA, NA, 3L, 3L, 5L, 4L, 4L, NA, 4L, NA, 5L, 4L, NA, 4L, 5L, 
5L, 3L, 4L, 4L, 4L, 4L, NA, 5L, NA, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 
4L, 5L, 5L, 4L, 4L, 5L, NA, 5L, NA, 4L, 5L, 4L, 4L, 1L, NA, 4L, 
NA, 4L, 5L, 2L, 5L, NA, 4L, 4L, 5L, 4L, 4L, 4L, NA, 4L, 5L, 4L, 
3L, 5L, 5L, 5L, 2L, 3L, 5L, 5L, 4L, 4L, 5L, 4L, 3L, 4L, 4L, 5L, 
4L, 5L, NA, 5L, 5L, NA, 5L, 4L, 4L, 5L, NA, 5L, 4L, NA, 5L, 5L, 
5L, 4L, 3L, 5L, 4L, 4L, 2L, 5L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 
4L, 4L, 4L, 4L, 5L, NA, 4L, 4L, 5L, NA, 4L, 4L, 4L, 3L, 3L, 5L, 
5L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 
4L, 3L, 4L, 5L, 4L, 4L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 4L, 3L, 3L, 
4L, 5L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 
5L, 4L, 3L, 5L, 5L, 4L, 4L, 5L, NA, 4L, 4L, 4L, 5L, 3L, NA, 3L, 
3L, 4L, 5L, 5L, 5L, 4L, 5L, NA, 5L, 5L, 5L, 4L, 4L, 2L, 4L, 4L, 
5L, 5L, 4L, 4L, 5L, 5L, 4L, 3L, 5L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 
5L, 5L, 4L, 5L, NA, 4L, 4L, 4L, 4L, 3L, 4L), time = structure(c(8L, 
3L, 13L, 10L, 5L, 9L, NA, 5L, 1L, 4L, 4L, 3L, 2L, 2L, 2L, NA, 
2L, NA, 4L, 3L, 2L, NA, 6L, NA, 2L, 6L, 5L, 1L, 3L, 2L, 1L, NA, 
3L, 2L, 5L, 6L, 3L, 7L, 13L, 4L, 4L, 3L, 1L, 2L, 2L, NA, 7L, 
1L, NA, 12L, 13L, 4L, 6L, 2L, 3L, 1L, 1L, 1L, 3L, 9L, 6L, 4L, 
5L, 2L, 10L, 4L, 7L, NA, 4L, 5L, 1L, 7L, 12L, 4L, 1L, 2L, 5L, 
3L, 13L, 6L, 13L, 4L, NA, 2L, 7L, 4L, 12L, 3L, 2L, 5L, 9L, 6L, 
13L, 2L, 12L, 4L, 13L, 2L, 7L, NA, NA, NA, 4L, 5L, NA, NA, 7L, 
5L, 5L, NA, 2L, 4L, 5L, 13L, 5L, 2L, 2L, 4L, 7L, 4L, 7L, 6L, 
5L, 5L, NA, 3L, 2L, NA, 3L, 5L, 11L, 2L, 2L, 3L, 3L, 9L, 1L, 
2L, 3L, 5L, 12L, 2L, 5L, 3L, 5L, 5L, 12L, 2L, 2L, 3L, 4L, 1L, 
1L, 3L, 2L, 3L, 4L, 13L, 3L, 3L, NA, NA, 6L, 5L, 3L, 1L, 8L, 
6L, 9L, 5L, 8L, 1L, 1L, 3L, 5L, 6L, 3L, 1L, 1L, 8L, 4L, 13L, 
13L, 4L, 2L, NA, 3L, 1L, 3L, 4L, 5L, 1L, 5L, 8L, 1L, 4L, 5L, 
4L, 4L, 12L, 9L, NA, 2L, NA, NA, 5L, 4L, 1L, 12L, 6L, NA, NA, 
NA, 4L, 12L, NA, 4L, 2L, 11L, NA, 5L, 2L, 2L, 1L, NA, 6L, NA, 
12L, 3L, 2L, 4L, NA, 1L, 6L, 8L, NA, 4L, 6L, 5L, 6L, NA, 4L, 
NA, 2L, 7L, 8L, 3L, 6L, NA, 4L, NA, 2L, 6L, 4L, 5L, NA, 12L, 
2L, 12L, 6L, 6L, 13L, NA, 3L, 4L, 2L, NA, 11L, 12L, 4L, 8L, 5L, 
1L, 5L, 1L, 1L, 7L, 4L, 1L, 2L, 7L, 2L, 3L, 5L, NA, 5L, 4L, NA, 
6L, 9L, 2L, 1L, NA, 5L, 4L, NA, 1L, 6L, 5L, 2L, 9L, 4L, 5L, 3L, 
5L, 10L, 6L, 4L, 12L, 3L, 12L, 2L, 1L, 1L, 5L, 9L, 2L, 2L, 2L, 
NA, 11L, 4L, 9L, NA, 12L, 2L, 1L, 10L, 4L, 3L, 5L, NA, 10L, 3L, 
2L, 8L, 3L, 4L, 9L, 4L, 10L, 1L, 2L, 6L, 13L, 8L, 4L, 4L, 9L, 
1L, 2L, 4L, 1L, 8L, 5L, 9L, 9L, 4L, 4L, 6L, 3L, 1L, 2L, 5L, 3L, 
1L, 1L, 12L, 1L, 2L, 3L, 4L, 10L, 2L, 2L, 4L, 5L, 7L, 7L, 5L, 
4L, 3L, 4L, 6L, 13L, 3L, NA, 3L, 2L, 2L, 1L, NA, NA, 1L, NA, 
4L, 2L, 8L, 4L, 8L, 3L, NA, 2L, 8L, 8L, 4L, 5L, 4L, 2L, 4L, 2L, 
5L, 1L, 6L, 5L, 7L, 4L, 3L, 5L, 3L, 3L, 2L, 4L, 3L, 1L, 6L, 4L, 
2L, 13L, 13L, NA, 5L, 5L, 2L, 5L, 2L, 8L), .Label = c("0-15 minutes", 
"15-30 minutes", "30-45 minutes", "45-60 minutes (1 hour)", "60 minutes (1 hour) - 75 minutes", 
"75-90 minutes", "90-105 minutes", "105-120 minutes (2 hours)", 
"120 minutes (2 hours) - 135 minutes", "135-150 minutes", "150-165 minutes", 
"165-180 minutes (3 hours)", "More than 3 hours"), class = "factor"), 
    able = c("Neither Agree nor Disagree", "Strongly Agree", 
    "Agree", "Agree", "Agree", "Neither Agree nor Disagree", 
    NA, "Agree", "Strongly Agree", "Strongly Agree", "Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Agree", NA, 
    "Agree", NA, "Disagree", "Strongly Agree", "Agree", "Agree", 
    "Strongly Agree", "Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Agree", "Strongly Agree", "Strongly Agree", 
    "Strongly Agree", "Agree", "Strongly Agree", "Agree", "Agree", 
    "Agree", "Agree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Agree", "Agree", "Agree", "Strongly Agree", "Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Agree", "Agree", 
    "Agree", "Agree", "Strongly Agree", "Agree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Agree", "Strongly Agree", "Agree", "Agree", 
    "Strongly Agree", "Agree", "Agree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Disagree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Neither Agree nor Disagree", "Strongly Agree", 
    "Agree", "Strongly Agree", "Agree", "Strongly Agree", "Agree", 
    "Agree", "Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    "Agree", "Neither Agree nor Disagree", "Agree", "Neither Agree nor Disagree", 
    "Agree", "Agree", "Agree", "Strongly Agree", "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", NA, NA, NA, 
    "Strongly Agree", "Agree", NA, NA, "Agree", "Agree", "Agree", 
    NA, "Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    "Agree", "Agree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Disagree", "Agree", 
    "Agree", NA, "Agree", "Strongly Agree", "Agree", "Neither Agree nor Disagree", 
    "Agree", "Agree", "Strongly Agree", "Agree", "Agree", "Agree", 
    "Neither Agree nor Disagree", "Agree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Agree", "Agree", "Agree", "Agree", "Strongly Agree", 
    "Strongly Agree", "Agree", "Agree", "Neither Agree nor Disagree", 
    "Disagree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Strongly Agree", "Disagree", "Strongly Agree", NA, NA, "Agree", 
    "Neither Agree nor Disagree", "Agree", "Agree", "Agree", 
    "Agree", "Disagree", "Neither Agree nor Disagree", "Agree", 
    "Agree", "Agree", "Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Strongly Agree", "Agree", "Agree", "Agree", "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Neither Agree nor Disagree", 
    "Agree", "Agree", "Strongly Agree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Agree", "Agree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Neither Agree nor Disagree", NA, "Strongly Agree", 
    NA, NA, "Neither Agree nor Disagree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Agree", "Agree", NA, "Agree", NA, "Strongly Agree", 
    "Agree", NA, "Agree", "Strongly Agree", "Strongly Agree", 
    "Neither Agree nor Disagree", "Agree", "Agree", "Agree", 
    "Agree", NA, "Strongly Agree", NA, "Agree", "Agree", "Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Strongly Agree", 
    NA, "Strongly Agree", NA, "Agree", "Strongly Agree", "Agree", 
    "Agree", "Strongly Disagree", NA, "Agree", NA, "Agree", "Strongly Agree", 
    "Disagree", "Strongly Agree", NA, "Agree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Agree", NA, "Agree", "Strongly Agree", 
    "Agree", "Neither Agree nor Disagree", "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Disagree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Strongly Agree", 
    "Agree", "Neither Agree nor Disagree", "Agree", "Agree", 
    "Strongly Agree", "Agree", "Strongly Agree", NA, "Strongly Agree", 
    "Strongly Agree", NA, "Strongly Agree", "Agree", "Agree", 
    "Strongly Agree", NA, "Strongly Agree", "Agree", NA, "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Agree", "Agree", "Disagree", "Strongly Agree", 
    "Agree", "Agree", "Strongly Agree", "Agree", "Strongly Agree", 
    "Agree", "Strongly Agree", "Agree", "Agree", "Agree", "Agree", 
    "Agree", "Strongly Agree", NA, "Agree", "Agree", "Strongly Agree", 
    NA, "Agree", "Agree", "Agree", "Neither Agree nor Disagree", 
    "Neither Agree nor Disagree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Agree", "Agree", "Agree", "Agree", "Agree", "Strongly Agree", 
    "Strongly Agree", "Strongly Agree", "Strongly Agree", "Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Neither Agree nor Disagree", "Agree", "Strongly Agree", 
    "Agree", "Agree", "Strongly Agree", "Strongly Agree", "Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Strongly Agree", 
    "Agree", "Neither Agree nor Disagree", "Neither Agree nor Disagree", 
    "Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    "Agree", "Neither Agree nor Disagree", "Agree", "Agree", 
    "Agree", "Agree", "Agree", "Agree", "Agree", "Agree", "Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Agree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Strongly Agree", 
    NA, "Agree", "Agree", "Agree", "Strongly Agree", "Neither Agree nor Disagree", 
    NA, "Neither Agree nor Disagree", "Neither Agree nor Disagree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Strongly Agree", NA, "Strongly Agree", "Strongly Agree", 
    "Strongly Agree", "Agree", "Agree", "Disagree", "Agree", 
    "Agree", "Strongly Agree", "Strongly Agree", "Agree", "Agree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Neither Agree nor Disagree", 
    "Strongly Agree", "Strongly Agree", "Agree", "Agree", "Agree", 
    "Strongly Agree", "Agree", "Agree", "Strongly Agree", "Strongly Agree", 
    "Agree", "Strongly Agree", NA, "Agree", "Agree", "Agree", 
    "Agree", "Neither Agree nor Disagree", "Agree")), row.names = c(NA, 
-437L), class = "data.frame")

最佳答案

这里的问题是 factor() 默认排除了 NA；您必须覆盖默认值。

这是在顶部绘制 NA:

likely <- c(NA, "Strongly Disagree", "Disagree", "Neither Agree nor Disagree", 
            "Agree", "Strongly Agree") 
library(ggplot2)
ggplot(df, aes(x = time, fill = factor(able, levels = likely, exclude = NULL)
)) +
  geom_bar() +
  theme(axis.text.x = element_text(angle = 315, hjust = 0),
        plot.margin = margin(10, 40, 10, 10))

此外，NA 也可以移到图例的顶部:

ggplot(df, aes(x = time, fill = factor(able, levels = likely, exclude = NULL)
)) +
  geom_bar() +
  theme(axis.text.x = element_text(angle = 315, hjust = 0),
        plot.margin = margin(10, 40, 10, 10)) +
  scale_fill_discrete(breaks = likely)

关于r - ggplot2 堆叠条形图，将 NA 放在顶部，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/52266598/

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r - ggplot2 堆叠条形图，将 NA 放在顶部