在 ggplot R 中按销售额设置堆积面积图的顺序

Question

你能告诉我2013年如何根据销售额从上到下排序堆叠图吗？例如，2013 年销售额在 D 组中最高，所以我希望在该类别中始终处于顶部等等。

df <- data.frame (Year  = c("2010", "2010",  "2010", "2010", "2011","2011","2011","2011","2012","2012","2012","2012","2013","2013","2013","2013"),
                  Sale = c(100,200,50,500,400,200,400,145,100,456,345,321,100,200,250,400),
                 Group = c("A", "B",  "C", "D","A", "B",  "C", "D","A", "B",  "C", "D","A", "B",  "C", "D"))

df$Year <- as.integer(df$Year)



ggplot(df, aes(x = Year, y = Sale, fill = Group)) +
  geom_area()

Answer 1

您需要使用 forcats 中的 fct_reorder() 通过 Sale 对因子 Group 重新排序：

df %>% 
  mutate(Group = fct_reorder(Group, desc(Sale))) %>% 
  ggplot(aes(x = Year, y = Sale, fill = Group)) +
  geom_area()

要在特定年份完成，我执行了以下操作。

ls <- df %>% filter(Year == 2013) %>% arrange(desc(Sale)) %>% select(Group)
df$Group <- factor(df$Group, levels = ls$Group)

df %>% 
  ggplot(aes(x = Year, y = Sale, fill = Group)) +
  geom_area()

这是手动重新排序。

在 ggplot R 中按销售额设置堆积面积图的顺序

Set order of stacked area graphs by sales in ggplot R

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