Question

我正在绘制多个图，其中包含相同的4个离散值，未知，负，中性，正。

但是，并非所有数据集都包含所有离散值，因此

在图1中，未知=黄色

在图2中，未知=紫色，等等...

如何设置它，以使未知状态始终为黄色，否定为紫色...

下面是我正在使用的代码

library(viridis)
p <- ggplot() +
  geom_polygon(data = spdfMelbSent_fortified2.1, aes(fill = sentiment, x = long, y = lat, group = group) , size= 0, alpha=1) +
  theme_void() +
  scale_fill_viridis(discrete = TRUE, breaks=c('unknown','Negative','Neutral','Positive'), name="sentiment", guide =   guide_legend( keyheight = unit(3, units = "mm"), keywidth=unit(12, units = "mm"), label.position = "bottom",       title.position = 'top', nrow=1) ) +
  labs(
    title = "Melbourne and Geelong",
    subtitle = "Sentiment 27th April" 

  ) +
  theme(
    text = element_text(color = "#22211d"), 
    plot.background = element_rect(fill = "#f5f5f2", color = NA), 
    panel.background = element_rect(fill = "#f5f5f2", color = NA), 
    legend.background = element_rect(fill = "#f5f5f2", color = NA),

    plot.title = element_text(size= 22, hjust=0.01, color = "#4e4d47", margin = margin(b = -0.1, t = 0.4, l = 2, unit = "cm")),
    plot.subtitle = element_text(size= 17, hjust=0.01, color = "#4e4d47", margin = margin(b = -0.1, t = 0.43, l = 2, unit = "cm")),
    plot.caption = element_text( size=12, color = "#4e4d47", margin = margin(b = 0.3, r=-99, unit = "cm") ),

    legend.position = c(0.7, 0.09)
  ) +
  coord_map()
p

Answer 1

我只是复制评论作为答案，以将此问题标记为已回答。

似乎您在填充标尺中缺少limits，该标尺定义了可能的值及其顺序。

在limits = c("unknown", "Negative", "Neutral", "Positive")调用中添加scale_fill_viridis()可以解决在已删除一个或多个级别的多个图之间的不一致。

使谨慎的变量始终与viridis和ggplot以相同的颜色绘制

1 个答案: