我试图在 ggplot2 书的第 86 页复制 Hadley Wickham 的示例,其中他覆盖了 geom_rects,显示执政党对失业趋势的控制。这是我的核心代码,带有一些示例数据:
library("ggplot2")
library("reshape2")
library("lubridate")
con <- textConnection("Date,Var1,Var2
8-Jan-12,100.8,116
15-Jan-12,99.4,115.5
22-Jan-12,98.4,115
28-Jan-12,97.1,114
4-Feb-12,95.9,112
11-Feb-12,95.3,113
18-Feb-12,93.9,111.5
25-Feb-12,93.5,111.5
3-Mar-12,92.6,110
10-Mar-12,91.4,108
17-Mar-12,90.2,106.8
24-Mar-12,90,107.5
31-Mar-12,89.9,106
5-Apr-12,90.4,106.5
12-Apr-12,89.8,106")
track <- read.csv(con, header=TRUE)
track$Date <- as.Date( dmy(track$Date) )
track <- melt(track,
id.vars = c("Date"))
con <- textConnection("City,From,To
Auckland,5-Apr-12,10-Apr-12
Brussels,1-Apr-12,3-Apr-12
Cleveland,24-Jan-12,26-Jan-12
Darjeeling,18-Jan-12,19-Jan-12
Erehwon,8-Feb-12,10-Feb-12
Florence,5-Mar-12,7-Mar-12
Gandalf,25-Mar-12,27-Mar-12")
trips <- read.csv(con, header=TRUE)
trips$From <- as.Date( dmy(trips$From) )
trips$To <- as.Date( dmy(trips$To) )
# draw the Time Series data
p <- ggplot(track,
aes(x = Date,
y = value,
colour=variable,
group = variable))
p <- p + geom_smooth()
p <- p + geom_point(size=3)
p <- p + geom_vline(data=trips,
aes(xintercept=From),
colour='steelblue') # departure dates
p <- p + geom_vline(data=trips,
aes(xintercept=To),
colour='grey80') # return dates
yrng <- c(80,120)
p <- p + scale_y_continuous(limits=yrng)
p # this works up to here, using vlines (ugly, but makes the point)
# ----------- THIS geom_rect() STOPS THIS PLOT BEING RENDERED
p2 <- p + geom_rect(aes(NULL, NULL, xmin=From, xmax=To),
ymin=yrng[1], ymax=yrng[2],
data=trips)
p2 # this gives an error message
# Error in eval(expr, envir, enclos) : object 'variable' not found
# ----------- THIS NOW WORKS, THANKS TO @smu, SEE BELOW
p2 <- p + geom_rect(aes(NULL, NULL, xmin=From, xmax=To,
colour=NULL, group=NULL),
ymin=yrng[1], ymax=yrng[2],
fill='orange',
alpha=0.4,
data=trips)
p2 # and I have added fill and alpha to prettify it a bit
正如@tyler-rinker 所建议的那样,我已经编辑了代码以包含原始错误和@smu 指出的解决方案。谢谢。