ggplot2 堆叠条，将 NA 放在顶部

Question

ggplot2 堆叠条，将 NA 放在顶部

Sig*_*ied 2 r bar-chart ggplot2 stacked-chart

这里的答案有很多关于在堆积条形图中订购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 不断出现在堆栈的底部，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))

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x 轴上的 NA 位于末尾，这很棒。总的来说，将 NA 放在最后可能很好。但是对于堆叠的条形图，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，但我在尝试让 ggmosaic 和其他各种东西工作一段时间后放弃了。）

编辑：我发现我修改了一些代码来制作 Marimekko 图表（想给予信任，但忘记了我在哪里找到它。）它确实将 NA 放在顶部。

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'))

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应@z-lin 的请求序列化数据：

> 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")

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Answer 1

Uwe*_*Uwe 6

这里的问题是默认factor()排除NA；你必须覆盖默认值。

这是NA在顶部绘制s：

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))

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此外，NA还可以将移动到图例的顶部：

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)

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