用ggplot2绘图：“分类y轴上的误差：提供给连续刻度的离散值”

Question

下面的绘图代码为Error: Discrete value supplied to continuous scale

这段代码有什么问题？它工作正常，直到我尝试改变比例，所以错误就在那里......我试图找出类似问题的解决方案，但不能。

这是我的head数据：

> dput(head(df))
structure(list(`10` = c(0, 0, 0, 0, 0, 0), `33.95` = c(0, 0, 
0, 0, 0, 0), `58.66` = c(0, 0, 0, 0, 0, 0), `84.42` = c(0, 0, 
0, 0, 0, 0), `110.21` = c(0, 0, 0, 0, 0, 0), `134.16` = c(0, 
0, 0, 0, 0, 0), `164.69` = c(0, 0, 0, 0, 0, 0), `199.1` = c(0, 
0, 0, 0, 0, 0), `234.35` = c(0, 0, 0, 0, 0, 0), `257.19` = c(0, 
0, 0, 0, 0, 0), `361.84` = c(0, 0, 0, 0, 0, 0), `432.74` = c(0, 
0, 0, 0, 0, 0), `506.34` = c(1, 0, 0, 0, 0, 0), `581.46` = c(0, 
0, 0, 0, 0, 0), `651.71` = c(0, 0, 0, 0, 0, 0), `732.59` = c(0, 
0, 0, 0, 0, 1), `817.56` = c(0, 0, 0, 1, 0, 0), `896.24` = c(0, 
0, 0, 0, 0, 0), `971.77` = c(0, 1, 1, 1, 0, 1), `1038.91` = c(0, 
0, 0, 0, 0, 0), MW = c(3.9, 6.4, 7.4, 8.1, 9, 9.4)), .Names = c("10", 
"33.95", "58.66", "84.42", "110.21", "134.16", "164.69", "199.1", 
"234.35", "257.19", "361.84", "432.74", "506.34", "581.46", "651.71", 
"732.59", "817.56", "896.24", "971.77", "1038.91", "MW"), row.names = c("Merc", 
"Peug", "Fera", "Fiat", "Opel", "Volv"
), class = "data.frame")

绘图代码：

## Plotting
meltDF = melt(df, id.vars = 'MW')
ggplot(meltDF[meltDF$value == 1,]) + geom_point(aes(x = MW, y = variable)) +
  scale_x_continuous(limits=c(0, 1200), breaks=c(0, 400, 800, 1200)) +
  scale_y_continuous(limits=c(0, 1200), breaks=c(0, 400, 800, 1200))

以下是在添加比例之前情节的显示方式：

Answer 1

正如评论中所提到的，不能是factor类型变量的连续缩放。您可以在定义factor变量后立即将numeric更改为meltDF，如下所示。

meltDF$variable=as.numeric(levels(meltDF$variable))[meltDF$variable]

然后，执行ggplot命令

  ggplot(meltDF[meltDF$value == 1,]) + geom_point(aes(x = MW, y =   variable)) +
     scale_x_continuous(limits=c(0, 1200), breaks=c(0, 400, 800, 1200)) +
     scale_y_continuous(limits=c(0, 1200), breaks=c(0, 400, 800, 1200))

你会得到你的图表。

希望这有帮助

Answer 2

如果x是数字，则添加scale_x_continuous();如果x是字符/因子，则添加scale_x_discrete()。这可能会解决您的问题。

Answer 3

在我的情况下，您需要将列（您认为此列是数字，但实际上不是）转换为numeric

geom_segment(data=tmpp, 
   aes(x=start_pos, 
   y=lib.complexity, 
   xend=end_pos, 
   yend=lib.complexity)
)
# to 
geom_segment(data=tmpp, 
   aes(x=as.numeric(start_pos), 
   y=as.numeric(lib.complexity), 
   xend=as.numeric(end_pos), 
   yend=as.numeric(lib.complexity))
)