Question

假设我正在对ggplot数据进行超简单的iris绘制，它看起来像这样：

ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) +
  geom_line() +
  theme_minimal() +
  scale_x_continuous(limits = c(5, 8)) %>%
  annotate(geom = "text", x = 6, y = 5, label = "We Love Flowers!", color = "#619CFF", size = 8)

由于某种原因，它会引发此错误：

Error in as.data.frame.default(x[[i]], optional = TRUE) : 
  cannot coerce class ‘c("ScaleContinuousPosition", "ScaleContinuous", "Scale", "ggproto", ’ to a data.frame

有什么作用？发生了什么事？

Answer 1

听，我们都去过那里。在dplyr和ggplot之间切换，而忘记在%>%管道和+运算符之间切换。发生在我们当中最好的！

更正后的代码如下：

ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) +
  geom_line() +
  theme_minimal() +
  scale_x_continuous(limits = c(5, 8)) +
  annotate(geom = "text", x = 6, y = 5, label = "We Love Flowers!", color = "#619CFF", size = 8)

ggplot错误-“无法将类‘c（“ ScaleContinuousPosition，” ScaleContinuous“，” Scale“，” ggproto“，”强制转换为data.frame“

1 个答案: