0

我有4DF列：date、original和. 我想制作一个面积图，根据列，负值是红色，正值是绿色。predictedchangechange

我的代码：

data %>% 
  filter(variaveis == c("diferenca.em.pontos")) %>%
  mutate(change = ifelse(value > 0, "positive", "negative")) %>%
  ggplot(aes(x = Período, y = value, fill = change)) +
  geom_area() +
  geom_hline(yintercept = 0)

但它会像这样返回，这条绿线高于红色值，这是不应该发生的。我究竟做错了什么？

在此处输入图像描述

如果我使用geom_col而不是geom_area，图表是正确的：

在此处输入图像描述

我的dput：

structure(list(Período = structure(c(13453, 13483, 13514, 13545, 
13573, 13604, 13634, 13665, 13695, 13726, 13757, 13787, 13818, 
13848, 13879, 13910, 13939, 13970, 14000, 14031, 14061, 14092, 
14123, 14153, 15918, 15949, 15979, 16010, 16040, 16071), class = "Date"), 
    variaveis = structure(c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L), .Label = c("Brasil", "Brasil.predicted", 
    "Brasil.nivel", "Brasil.predicted.nivel", "diferenca.em.pontos"
    ), class = "factor"), value = c(28.5307986472031, 22.8246389177625, 
    16.3033135126875, 6.52132540507499, 4.07582837817188, -12.2274851345156, 
    -10.5971537832469, -8.96682243197813, -6.521325405075, -4.89099405380624, 
    -11.4123194588812, -20.3791418908594, -8.96682243197812, 
    -10.5971537832469, -9.7819881076125, -6.521325405075, 0, 
    -8.15165675634375, -27.7156329715687, -43.2037808086219, 
    -34.2369583766437, -26.9004672959344, -17.9336448639562, 
    -38.3127867548156, -18.7488105395906, -25.2701359446656, 
    -21.1943075664937, -14.6729821614187, -8.15165675634375, 
    0.815165675634374), change = c("positive", "positive", "positive", 
    "positive", "positive", "negative", "negative", "negative", 
    "negative", "negative", "negative", "negative", "negative", 
    "negative", "negative", "negative", "negative", "negative", 
    "negative", "negative", "negative", "negative", "negative", 
    "negative", "negative", "negative", "negative", "negative", 
    "negative", "positive")), row.names = c(1L, 2L, 3L, 4L, 5L, 
6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 
19L, 20L, 21L, 22L, 23L, 24L, 82L, 83L, 84L, 85L, 86L, 87L), class = "data.frame")
4

1 回答 1

0

不要尝试在同一个 geom_area() 函数中绘制所有内容，而是尝试使用它两次：一次用于正值，另一次用于负值。可能不是最好的解决方案，但它有效。

ggplot(dput) +
geom_area(aes(x=Período, y=ifelse(value<0, value,0)), fill="red") +
geom_area(aes(x=Período, y=ifelse(value>0, value, 0)), fill="green")

带有 dput 的结果图

我希望这对你有帮助:)

于 2021-04-09T12:46:25.933 回答