ggplot自上次更新后没有订购级别

我想在这里制作这个情节：

但是右边的顺序变得混乱了 .

在每条水平线上有两个堆叠的条形图，一个是正的，一个是负的 . 每个人都有自己的数据帧 . df1表示左侧，df2表示右侧 . 中间类别分为两半，部分位于左侧，另一半位于右侧 .

我试图重新排序因子df2 $ level，它保存右侧barplot的顺序，但它没有改变一个东西（当然我从ggplot2调用中取出了order = as.numeric（level）） .

df2$level <- factor(df2$level, levels=rev(levels(df2$level)))
df2$level

这是示例数据：

library("plyr")
library("dplyr")
library("stringr")
library("ggplot2")

# example data
Variable<-c("1","1","1","1","1","2","2","2","2","2","3","3","3","3","3","4","4","4","4","4")
level<-c(5,4,3,2,1,5,4,3,2,1,5,4,3,2,1,5,4,3,2,1)
perc_w<-c(3.70,11.80,10.10,25.80,38.60,2.00,16.90,13.25,28.80,25.80,1.80,6.50,9.35,33.60,39.40,3.50,12.40,14.10,34.80,21.10)
df<-data.frame(Variable,level,perc_w)
df$perc_w<-as.numeric(df$perc_w)
df$level<-as.factor(df$level)

# item text
items<-c("~ It´s not known, if climate change is real",
         "~ In my opinion, the risks of climate change are exaggerated by activists",
         "~ Climate change is not as dangerous as it is claimed", 
         "~ I´m convinced that we can handle climate change")

df$Variable<-as.character(df$Variable)
df$Variable[df$Variable==1]<-items[1]
df$Variable[df$Variable==2]<-items[2]
df$Variable[df$Variable==3]<-items[3]
df$Variable[df$Variable==4]<-items[4]
df$Variable<-as.ordered(df$Variable)

# calculate halves of the neutral category
df.split <-df %>% filter(level==3) %>% mutate(perc_w=as.numeric(perc_w/2)) 

# replace old neutral-category
df<-df %>% filter(!level==3)   
df<-full_join(df,df.split) %>% arrange(level)  %>% arrange(desc(Variable)) 


#split dataframe
df1<-df %>% filter(level == 3 | level== 2 | level==1) 
df2<-df %>% filter(level == 5 | level== 4 | level==3) %>% mutate(perc_w = perc_w *-1)

# automatic line break
df1$Variable  <-str_wrap(df1$Variable, width = 41) 
df2$Variable  <-str_wrap(df2$Variable, width = 41) 

# reorder factor "Variable"
df1$Variable   <- factor(df1$Variable, levels=rev(unique(df1$Variable)))
df2$Variable   <- factor(df2$Variable, levels=rev(unique(df2$Variable)))

#Plot  
p<-ggplot() +
  geom_bar(data=df1, aes(x = Variable, y=perc_w, fill = level, order = -as.numeric(level)),position="stack", stat="identity") +
  geom_bar(data=df2, aes(x = Variable, y=perc_w, fill = level, order = as.numeric(level)),position="stack", stat="identity") +
  geom_hline(yintercept = 0, color =c("black"))+
  theme_bw() + 
  coord_flip() +
  guides(fill=guide_legend(title="",reverse=TRUE)) +
  scale_fill_brewer(palette="Blues", name="",labels=c("--","-","0","+","++")) +
  labs(title=expression(atop(bold("Attitudes towards climate change"),
                             atop(italic("Some roughly translated items"),""))),
       y="percentages",x="") +  
  theme(legend.position="top",
        axis.ticks = element_blank(), 
        plot.title = element_text(size=25),
        axis.title.y=element_text(size=16),
        axis.text.y=element_text(size=13),
        axis.title.x=element_text(size=16),
        axis.text.x=element_text(size=13),
        legend.title=element_text(size=14),
        legend.text=element_text(size=12)    
  )
p