eval_tidy(pair$lhs, env = default_env) 中的错误:找不到对象 'Var1'

Error in eval_tidy(pair$lhs, env = default_env) : object 'Var1' not found

我在使用 case_when 在管链内的 ggplot 中自定义标签时遇到问题。

我正在处理带标签的数据,但我制作了这个可重现的数据来显示我的错误。这是我的代码:

#data
padmin1<- data.frame(q0005_0001 = rep(c("Insuficiente1", "Poco Suficiente2","Regular3","Suficiente4","Muy Suficiente5")),5)

#Graphic
padmin1 %>% 
  rename(Var1=q0005_0001) %>% 
  ggplot(aes(x = "", y = X5, fill = fct_rev(ordered(Var1)))) +  
  geom_bar(stat = "identity", width = 0.2) +
  geom_text(aes(label = X5), position = position_stack(vjust=0.5), colour= case_when(
    Var1 == "Insuficiente1" ~ "white",
    Var1 == "Poco Suficiente2" ~ "black",
    Var1 == "Regular3" ~ "black",
    Var1 == "Suficiente4" ~ "white",
    Var1 == "Muy Suficiente5" ~ "white",
    TRUE ~ "white"
  ) , fontface = "bold") +
  coord_flip() +
  labs(title= "La información brindada por la facultad le resultó...", caption = "Elaborado por SS, 2021") + 
  #Temas de colores
  theme(axis.title = element_blank(), 
        line = element_blank(),
        panel.background = element_rect(fill = "transparent", color = NA),
        plot.background = element_rect(fill = "transparent", color = NA),
        legend.position = "bottom", 
        panel.border = element_blank(), 
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        legend.background = element_rect(fill = "transparent", linetype = "solid", colour = "transparent"),
        legend.box.background = element_rect(fill = "transparent", colour = "transparent"),
        axis.text = element_blank()) +
  scale_fill_manual("Leyenda", values = c("Insuficiente1"="#8A0000", "Poco Suficiente2"="#FFCD2F", "Regular3"="#DAA600", "Suficiente4"="#144D6C", "Muy Suficiente5"="#071C27")) 

在运行此代码后出现以下错误:

#eval_tidy(pair$lhs, env = default_env) 中的错误:找不到对象 'Var1'

让我知道哪里出了问题,我已经尝试将 .$ 放在 geom_text() 中的 Var1 之前,但没有用。

要达到您想要的结果,请将 colour=case_when(... 移到 aes() 内并添加 scale_color_identity。但是,我建议使用 ifelse + grepl 而不是使用 case_when,因为只有两个选项,blackwhite.

此外,要获得标签的正确顺序,您必须添加 group=fct_rev(ordered(Var1))。否则标签的“堆叠”顺序与条形不同:

#data
padmin1<- data.frame(q0005_0001 = rep(c("Insuficiente1", "Poco Suficiente2","Regular3","Suficiente4","Muy Suficiente5")),5)

library(ggplot2)
library(dplyr)
library(forcats)

#Graphic
padmin1 %>% 
  rename(Var1=q0005_0001) %>% 
  ggplot(aes(x = "", y = X5, fill = fct_rev(ordered(Var1)))) +  
  geom_bar(stat = "identity", width = 0.2) +
  geom_text(aes(label = X5, 
                color = ifelse(grepl("^(P|R)", Var1), "black", "white"),
                group = fct_rev(ordered(Var1)) ), position = position_stack(vjust=0.5) , fontface = "bold") +
  scale_color_identity() +
  coord_flip() +
  labs(title= "La información brindada por la facultad le resultó...", caption = "Elaborado por SS, 2021") + 
  #Temas de colores
  theme(axis.title = element_blank(), 
        line = element_blank(),
        panel.background = element_rect(fill = "transparent", color = NA),
        plot.background = element_rect(fill = "transparent", color = NA),
        legend.position = "bottom", 
        panel.border = element_blank(), 
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        legend.background = element_rect(fill = "transparent", linetype = "solid", colour = "transparent"),
        legend.box.background = element_rect(fill = "transparent", colour = "transparent"),
        axis.text = element_blank()) +
  scale_fill_manual("Leyenda", values = c("Insuficiente1"="#8A0000", "Poco Suficiente2"="#FFCD2F", "Regular3"="#DAA600", "Suficiente4"="#144D6C", "Muy Suficiente5"="#071C27"))