二进制列总和为ggplot中的百分比堆积条形图

Binary column sums into percentage stacked bar chart in ggplot

我已尽一切努力将 从 y 轴上的 COUNT 转换为 y 轴上的 PERCENT OF TOTAL (N=142),但似乎无法弄清楚。我希望 x 轴是列 "Spatial_Management"、"Landing_ban" 和 "Bycatch_rentention",y 轴是此列值为 1 的策略的百分比。并且填充为"Strength"。我想我需要事先对我的数据进行非常简单的编辑,我已经在下面尝试过但它不起作用。

编辑:示例数据框:

    df<- data.frame(policy=c("Policy A", "Policy B", "Policy C", "Policy D", 
                     "Policy E","Policy F" ),
            Spatial_Management= c(0,1,1,0, 0,1),
            Landing_ban= c(0,1,1,0, 0,1),
            Bycatch_Retention= c(0,1,1,0, 0,1),
            Strength=c("M", "V", "M", "P", "P", "M"),
            stringsAsFactors=FALSE)

我现在的图码是:

df %>% 
  pivot_longer(Spatial_management:Bycatch_Retention) 
  filter(value==1) %>%
  ggplot(aes(x=factor(name, level=level_order), fill = factor(Strength)) +
                       y = (..count..)/sum(..count..)) +
 geom_bar()+
 stat_bin(geom = "text",
       aes(label = paste(round((..count..)/sum(..count..)*100), "%")),
       vjust = 5) +
 scale_y_continuous(labels = percent)

我知道这很简单,但如果有任何帮助,我将不胜感激!!!

在这里,您需要将数据框重新整形为更长的格式,然后计算值的数量除以策略数量(此处等于数据框的行数):

library(tidyr)
library(dplyr)
library(ggplot2)
df %>% pivot_longer(-c(policy, Strength), names_to = "var", values_to = "val") %>%
  group_by(Strength, var) %>%
  summarise(Val = sum(val)/ nrow(df)) %>%
  ggplot(aes(x = var, y = Val, fill = Strength))+
  geom_col()+
  scale_y_continuous(labels = percent)