ggplot2使图例键填充透明

我正在尝试使ggplot的图例键填充透明。我按照哈德利（Hadley）的ggplot2指南之一中的说明更改图例键填充，但是由于某种原因，当我将填充设置为透明时，它会用灰色填充。即使将图例键填充设置为白色，在最终绘图中它仍显示为灰色。

这是一个例子：

library(ggplot2)

data1 = c(0,10, 11, 23, 33, 40, 41, 50, 59, 68, 76, 88, 90, 99)
data2 = c(2, 8, 10, 22, 39, 47, 49, 55, 62, 70, 76, 86, 88, 95)

df = data.frame(data1, data2)

(plot = ggplot() +
  geom_smooth(data=df, aes(data1, data2,colour="sample1"))+
  geom_abline(intercept=0, slope=1,linetype="dashed", color = "black")+
  scale_x_continuous(expand=c(0,0), limits=c(0,100)) + 
  scale_y_continuous(expand=c(0,0), limits=c(0,100))+
  theme_classic()+
  labs(y="data2", x="data1", 
       title="sample 1 data1 vs data2") +
  theme(plot.title = element_text(size=18, face="bold"),
        legend.key = element_rect(colour = "transparent", fill = "white"),
        legend.justification = c(1,0), legend.position = c(1,0))+
  scale_color_discrete(name="Sample") )

如果设置theme(legend.key = element_rect(colour = "transparent", fill = "red"))，则得到以下图：

因此，似乎可以更改图例键的填充，但不能更改为白色或透明。

有谁知道我在做什么错，还是没有办法使图例键填充为透明/白色？

编辑：设置theme(legend.key = element_rect(fill = alpha("white", 0.0)))不能解决问题。

看这里：

library(ggplot2)
library(scales)

data1 = c(0,10, 11, 23, 33, 40, 41, 50, 59, 68, 76, 88, 90, 99)
data2 = c(2, 8, 10, 22, 39, 47, 49, 55, 62, 70, 76, 86, 88, 95)

df = data.frame(data1, data2)

(plot = ggplot() +
  geom_smooth(data=df, aes(data1, data2,colour="sample1"))+
  theme_classic()+
  labs(y="data2", x="data1", 
       title="sample 1 data1 vs data2") +
  theme(plot.title = element_text(size=18, face="bold"),
        legend.key = element_rect(colour = "transparent", fill = alpha("red", 0)),
        legend.justification = c(1,0), legend.position = c(1,0))+
  scale_color_discrete(name="Sample") )

EDIT2：如果我使用geom_line()而不是geom_smooth将图例键填充设置为NA，则一定是因为其中的行geom_smooth周围有一个灰色区域作为置信区间，因此图例键看起来像。

(plot = ggplot() +
  geom_smooth(data=df, aes(data1, data2,colour="sample1"))+
  geom_abline(intercept=0, slope=1,linetype="dashed", color = "black")+
  scale_x_continuous(expand=c(0,0), limits=c(0,100)) + 
  scale_y_continuous(expand=c(0,0), limits=c(0,100))+
  theme_classic()+
  labs(y="data2", x="data1", 
       title="sample 1 data1 vs data2") +
  theme(plot.title = element_text(size=18, face="bold"),
        legend.key = element_rect(colour = NA, fill = NA),
        legend.justification = c(1,0), legend.position = c(1,0))+
  scale_color_discrete(name="Sample") )