R ggplot2:错误:提供给连续刻度的离散值

R ggplot2:错误:提供给连续刻度的离散值,r,ggplot2,R,Ggplot2,对于示例数据帧: df1 <- structure(list(country.name = structure(c(4L, 11L, 10L, 2L, 1L, 3L, 8L, 5L, 7L, 9L, 6L), .Label = c("Austria", "Belgium", "Czech Republic", "Denmark", "France", &quo

对于示例数据帧:

df1 <- structure(list(country.name = structure(c(4L, 11L, 10L, 2L, 1L, 
       3L, 8L, 5L, 7L, 9L, 6L), .Label = c("Austria", "Belgium", "Czech Republic", 
       "Denmark", "France", "Germany", "Netherlands", "Norway", "Poland", 
       "Sweden", "Switzerland"), class = "factor"), level = c(2L, 2L, 
       2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L), no.regions = c(5L, 7L, 8L, 
       11L, 9L, 8L, 7L, 16L, 12L, 15L, 14L), min_result = c(42.59, 33.57, 
       43.1, 38.46, 41.76, 44.05, 41.67, 36.32, 36.18, 42.79, 39.91), 
       max_result = c(50.24, 46.56, 58.24, 57.41, 61.07, 64.56, 
       63.25, 58.19, 59.14, 69.19, 67.11), diff = c(7.65, 12.99, 
       15.14, 18.95, 19.31, 20.51, 21.58, 21.87, 22.96, 26.4, 27.2
       ), RD = c(-0.07, 0.131, -0.091, -0.153, -0.172, 0.203, -0.166, 
       0.145, -0.228, -0.266, -0.261), RDCI_lower = c(-0.21, -0.028, -0.194, -0.328, -0.376, 0.076, -0.315, 0.075, -0.407, -0.348, 
       -0.347), RDCI_upper = c(0.07, 0.29, 0.012, 0.021, 0.031, 
      0.331, -0.017, 0.216, -0.049, -0.184, -0.175), RDpvalue = c(0.3237, 
      0.1113, 0.08, 0.0829, 0.1017, 0.0023, 0.0299, 0, 0.0149, 
      0, 0), diff_order = structure(1:11, .Label = c("Denmark", 
       "Switzerland", "Sweden", "Belgium", "Austria", "Czech Republic", 
      "Norway", "France", "Netherlands", "Poland", "Germany"), class = "factor", scores = structure(c(19.31, 
      18.95, 20.51, 7.65, 21.87, 27.2, 22.96, 21.58, 26.4, 15.14, 
      12.99), .Dim = 11L, .Dimnames = list(c("Austria", "Belgium", 
      "Czech Republic", "Denmark", "France", "Germany", "Netherlands", 
      "Norway", "Poland", "Sweden", "Switzerland"))))), .Names = c("country.name", 
      "level", "no.regions", "min_result", "max_result", "diff", "RD", 
      "RDCI_lower", "RDCI_upper", "RDpvalue", "diff_order"), row.names = c(NA, 
      -11L), class = "data.frame")

df1最后,我设法让它工作了。。。所以,感谢那些给我提意见的人:

df1$diff_order <- reorder(df1$country.name, df1$diff) #Set order of countries by diff, and then set this to be plot 

a <- ggplot(df1, aes((x=diff_order), y=diff,fill=as.factor(level))) +
  geom_bar(stat="identity") +
  xlab("Country") +
  theme_classic() +
  coord_flip() +
  scale_fill_manual(values=c("#009E73", "#0072B2"),name="NUTS level") +
  ggtitle("All")  +
  theme(plot.title = element_text(hjust = 0)) +
  theme(axis.title.x = element_blank()) +
  theme(axis.text=element_text(size=9),
        axis.title=element_text(size=10,face="bold"))

a

df1$diff_order使用fill=as.factor(level))并删除ylim(0,40)应该可以解决您的问题谢谢@MLavoie。我尝试了你的建议,但仍然得到一个(不同的)错误-我做错了什么?你在
ggplot的末尾有一个虚假的
(df1,aes((x=diff_顺序),y=country.name,fill=as.factor(level))
谢谢,@bnord。这会打印出图表,但是国家不符合顺序,而且我没有在x轴上得到我的选择轴(diff)(仅国家)。当我试图在y轴上设置限制时,我得到了原始错误…您可能真的想要
ggplot(df1,aes(x=diff,y=country.name,fill=as.factor(level))
a <- ggplot(df1, aes((x=diff_order), y=country.name,fill=as.factor(level))) +
  geom_bar(stat="identity") +
  xlab("Country") +
  theme_classic() +
  coord_flip() +
  scale_fill_manual(values=c("#009E73", "#0072B2"),name="NUTS level") +
  ggtitle("All")  +
  theme(plot.title = element_text(hjust = 0)) +
  theme(axis.title.x = element_blank()) +
  theme(axis.text=element_text(size=6),
        axis.title=element_text(size=10,face="bold"))
df1$diff_order <- reorder(df1$country.name, df1$diff) #Set order of countries by diff, and then set this to be plot 

a <- ggplot(df1, aes((x=diff_order), y=diff,fill=as.factor(level))) +
  geom_bar(stat="identity") +
  xlab("Country") +
  theme_classic() +
  coord_flip() +
  scale_fill_manual(values=c("#009E73", "#0072B2"),name="NUTS level") +
  ggtitle("All")  +
  theme(plot.title = element_text(hjust = 0)) +
  theme(axis.title.x = element_blank()) +
  theme(axis.text=element_text(size=9),
        axis.title=element_text(size=10,face="bold"))

a