'错误：必须从色调调色板中请求至少一种颜色' 当颜色已经说明时

Question

我正在尝试 plot 来自不同数据集的两行代码，之前这段代码对我来说非常有效，但是当我现在运行它时，我收到了这个错误：

错误：必须从色调调色板中请求至少一种颜色。

我的数据集包含三个变量，物种、二氧化碳和 SD（气孔密度）。 我试图 plot 改变 SD 超过 CO2。

这是我的代码

lab<- read.csv("lab.csv", header = TRUE)
review <- read.csv("review.csv", header = TRUE)

library(ggplot2)
theme_set(theme_minimal())


ggplot(data = lab, aes(x = CO2, y =SD)) +
  geom_point(data=lab, colour = "Black") +
  geom_smooth(fill = NA, colour = "Black") +
 geom_smooth(data=review, aes(x=CO2, y=SD, fill=NA, colour="Blue")) + 
 geom_point(data=review, colour = "Blue")

这是我的数据

dput(lab)
dput(review)

结构（列表（ï..Species = c（“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦” , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "白桦 bescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”，“Betula pubescens”），SD = c（358.87， 358.87, 358.87, 358.87, 358.87, 358.87, 358.87, 358.87, 358.87, 361.2, 361.2, 361.2, 361.2, 361.2, 363.55, 363.55, 363.55, 363.55, 337.86, 373.47, 373.47, 373.47, 373.47, 387.63, 389.63, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 392.27, 393.83, 411.11, 411.11, 356.46, 356.46, 358.87, 361.2, 353.83, 387.63, 389.63, 393.83, 409.39, 411.18), CO2 = c(60, 108.1, 135.6, 128.4, 115.1, 202.6, 102.4, 65.9, 39.3, 45, 79.5, 105.2, 93.9, 75.3, 79.3, 62, 93.9 ，81.4，101，66.8，132.81，132.81，92.45，174.6，174.6，160，243.68，187.98，229.76，222.76，208.87，208.87，160.13，194.95，194.95，215.83，222.79，222.79，202.79，201.91，208.87，287，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222.98，222 , 264.57, 243.68, 14, 127, 143, 147, 61, 87.8, 65, 124.5, 111.1, 107, 12.6 , 2.99, 2.99)), class = "data.frame", row.names = c(NA, -57L))

结构（列表（ï..Species = c（“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦”，“毛桦” , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦" , "白桦白桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"普白桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"普白桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"普白桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦"普白桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "毛桦", "白桦" pubescens", "Betula pubescens"), SD = c(118.02, 108.07, 104.69, 97.94, 94.56, 91.19, 91.19, 87.81, 84.43, 70.92, 131.71, 128.34, 108.07, 108.07, 104.69, 94.56, 94.56, 87.81, 87.81 ，77.68，74.3，74.3，70.92，70.92，67.54，67.79，57.41，57.41，54.41，54.04，50.66，81.05，81.05，81.05，81.05，77.68 ，67.45，64.17，64.17，57.41，57.41，54.04，104.69，91.19，84.43，74.3，74.3，74.3，67.45，67.45，67.45，64.17，64.17，57.41 ，57.41，57.41，57.41，54.03，54.03，54.03，54.03，54.03，50.66，47.28，47.28，47.28，43.9，94.56，87.81，81.81，81.81，81.05，81.05，74.3，74.3，70.92，70.92，70.92，70.92，67.92，67.92，67.92，67.92，67.92，67.92，67.92，67.92，67，67.9.9.9.9.9.9.9.bhens ,， , 70.92, 64.17, 60.79, 60.79, 60.79, 57.41, 57.41, 54.03, 54.03, 54.03, 50.66, 50.66, 47.28, 40.53, 40.53, 37.15, 87.81, 70.92, 67.45, 64.17, 60.79, 60.79, 60.79, 57.41, 57.41, 57.41, 57.41, 54.04, 54.03, 54.03, 54.03, 50.66, 43.9, 40.53, 40.53, 30.4, 57.41, 50.66, 47.28, 47.28, 47.28, 47.28, 40.53, 40.53, 37.15, 33.77, 60.79, 47.28, 47.28, 43.9, 30.4, 30.4, 27.02, 23.64, 23.64, 20.26, 114.83, 97.94, 94.56, 74.3, 74.29, 70.92, 70.92, 60.79, 43.9, 11.45，60.79，57.41，57.41，54.04，54.04，54.04，54.04，50.66，50.66，50.66，50.66，50.66，50.66，47.28，47.28，47.28，43.9，43.9，37.15 47.28，47.28，43.9，43.9，43.9，43.9，43.9，43.9，430.53，40.53，37.15，37.15，37.15，37.15，33.77，33.77，33.77，27.02，27.02，23.64 40.53, 40.53, 40.53, 40.53, 37.15, 33.77, 33.77, 33.77, 33.77, 27.02, 16.89, 54.04, 47.28, 40.53, 33.77, 33.77, 33.77, 27.02, 27.02, 27.02, 23.64, 50.66, 43.9, 43.9, 43.9, 40.53, 37.15, 37.15, 27.02, 16.89, 16.89, 50.66, 40.53, 33.77, 33.77, 33.77, 30.4, 27.02, 27.02, 27.02, 23.64, 40.3.53, 40.7.5, 3, 3 7, 30.4, 27.02, 27.02, 20.26, 16.89), CO2 = c(293, 293, 293, 293, 293, 293, 293, 293, 293, 293, 295, 295, 295, 295, 295, 295, 295 , 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295, 295 , 295, 295, 295, 295, 295, 295, 295, 295, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5. , 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 297.5, 298.5, 298.5, 298.5, 298.5, 298.5, 298.5, 298.5, 298.5, 298.5, 298.5, 300, 300 , 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 300, 309, 309, 309, 309, 309, 309, 309 , 309, 309, 309, 309, 309, 309, 309, 309, 309, 309, 309, 309, 309, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 314, 314 ，314、314、314、314、314、314、314、314、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64、317.64 , 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 325.84, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 331.12, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 333.84, 336.84, 336.84, 336.84, 336.84, 336.84, 336.84, 336.84, 336.84, 336.84, 336.84, 343.15, 343.15, 343.15, 343.15, 343.15, 343.15, 343.15, 343.15, 343.15, 343.15, 344.85, 344.85, 344.85, 344.85, 344.85, 344.85, 344.85, 344.85, 344.85, 344.85, 394.06, 394.06, 394.06, 394.06, 394.06, 394.06, 394.06, 394.06, 394.06, 394.06)), class = "data.frame", row.names = c(不适用，-260L))

有人能帮我解决这个错误吗？ 我已经说明了每组线和点的颜色，并且这段代码过去对我有用，所以我不确定问题是什么。 我还检查了该网站上相同错误代码的先前问题，但问题是没有分配颜色或缺少数据。 任何帮助将不胜感激。

Answer 1

在代码的第四行设置填充美感会导致错误，因为它实际上应该在外面。 如果您想摆脱阴影并使平滑线变为蓝色，您可以通过以下方式实现：

ggplot(data = lab, aes(x = CO2, y =SD)) +
  geom_point(data=lab, colour = "Black") +
  geom_smooth(fill = NA, colour = "Black") +
  geom_smooth(data=review, aes(x=CO2, y=SD), fill = NA, colour = "Blue") + 
  geom_point(data=review, colour = "Blue")