使用ggplot2基于不同数据集的两个图例

Question

ggplot2可以有两个图例，但基于不同的数据集吗？例如，在下面的代码中，我希望在同一图形中同时获得第一种情况的图例和第二种情况的图例。我的尝试(第三种情况)不起作用。

library(ggplot2)
library(scales)

yrng <- range(economics$unemploy)
xrng <- range(economics$date)
presidential <- presidential[-(1:3), ]

# add a fictive factor to the economics dataset
economics <- cbind.data.frame(economics, col=gl(2, nrow(economics)/2))

#####################
## first situation ##
#####################
# first plot with legend
unemp <- qplot(date, unemploy, data=economics, geom="line",
                 xlab = "", ylab = "No. unemployed (1000s)", colour=col)
# second plot without legend
unemp + geom_vline(aes(xintercept = start), data = presidential)

######################
## second situation ##
######################
# first plot without legend
unemp <- qplot(date, unemploy, data=economics, geom="line",
                 xlab = "", ylab = "No. unemployed (1000s)")
# second plot with legend
unemp + 
  geom_rect(aes(NULL, NULL, xmin = start, xmax = end,
                    fill = party), ymin = yrng[1], ymax = yrng[2],
                    data = presidential) +
  scale_fill_manual(values = alpha(c("blue", "red"), 0.2))


#####################
## third situation ##
#####################
# first plot with legend
unemp <- qplot(date, unemploy, data=economics, geom="line",
                 xlab = "", ylab = "No. unemployed (1000s)", colour=col)
# second plot with legend
unemp + 
  geom_rect(aes(NULL, NULL, xmin = start, xmax = end, fill = party), ymin = yrng[1],
              ymax = yrng[2], data = presidential) + 
  scale_fill_manual(values = alpha(c("blue", "red"), 0.2))

Error in data.frame(xmin = 11342, xmax = 14264, fill = "Republican", colour = function   (x,  : 
  arguments imply differing number of rows: 1, 0

Answer 1

一般来说，一旦我开始绘制更复杂的图，最好停止使用qplot，转而使用ggplot。我发现更容易思考我是如何一块一块地构建这个图的：

ggplot() +
  geom_line(aes(x=date, y=unemploy, color=col), data=economics) +
  geom_rect(aes(xmin=start, xmax=end, fill=party),
            ymin = yrng[1], ymax = yrng[2], data = presidential) +
  scale_fill_manual(values = alpha(c("blue", "red"), 0.2)) +           
  xlab("") +
  ylab("No. unemployed (1000s)")

这提供了：

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