Using geom_rect for time series shading in R

Question

I am trying to shade a certain section of a time series plot (a bit like recession shading - similarly to the graph at the bottom of this article on recession shading in excel ). I have put a little, possibly clumsy, sample together to illustrate. I first create a time series, plot it with ggplot2 and then want to use geom_rect to provide the shading. But I must get something wrong in the arguments.

a<-rnorm(300)
a_ts<-ts(a, start=c(1910, 1), frequency=12)
a_time<-time(a_ts)
a_series<-ts.union(big=a_ts, month=a_time)
a_series_df<-as.data.frame(a_series)
ggplot(a_series)+
  geom_line(mapping=aes_string(x="month", y="big"))+
  geom_rect(
    fill="red",alpha=0.5, 
    mapping=aes_string(x="month", y="big"), 
    xmin=as.numeric(as.Date(c("1924-01-01"))),
    xmax=as.numeric(as.Date(c("1928-12-31"))),
    ymin=0,
    ymax=2
    )

Note that I have also tried which also did not work.

geom_rect(
        fill="red",alpha=0.5, 
        mapping=aes_string(x="month", y="big"), 
        aes(
           xmin=as.numeric(as.Date(c("1924-01-01"))),
           xmax=as.numeric(as.Date(c("1928-12-31"))),
           ymin=0,
           ymax=2)
        )

Answer 1

Its a bit easier using annotate and also note that the bounds for the rectange can be specified as shown:

ggplot(a_series_df, aes(month, big)) + 
    geom_line() +
    annotate("rect", fill = "red", alpha = 0.5, 
        xmin = 1924, xmax = 1928 + 11/12,
        ymin = -Inf, ymax = Inf) +
    xlab("time")

This would also work:

library(zoo)

z <- read.zoo(a_series_df, index = 2)
autoplot(z) + 
    annotate("rect", fill = "red", alpha = 0.5, 
        xmin = 1924, xmax = 1928 + 11/12,
        ymin = -Inf, ymax = Inf) + 
    xlab("time") +
    ylab("big")

Either one gives this:

Answer 2

Code works fine, conversion to decimal date is needed for xmin and xmax , see below, requires lubridate package.

library("lubridate")
library("ggplot2")

ggplot(a_series_df)+
  geom_line(mapping = aes_string(x = "month", y = "big")) +
  geom_rect(
    fill = "red", alpha = 0.5, 
    mapping = aes_string(x = "month", y = "big"), 
    xmin = decimal_date(as.Date(c("1924-01-01"))),
    xmax = decimal_date(as.Date(c("1928-12-31"))),
    ymin = 0,
    ymax = 2
  )

Cleaner version, shading plotted first so the line colour doesn't change.

ggplot() +
  geom_rect(data = data.frame(xmin = decimal_date(as.Date(c("1924-01-01"))),
                              xmax = decimal_date(as.Date(c("1928-12-31"))),
                              ymin = -Inf,
                              ymax = Inf),
            aes(xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax),
            fill = "grey", alpha = 0.5) +
  geom_line(data = a_series_df,aes(month, big), colour = "blue") +
  theme_classic()

Answer 3

To use geom_rect you need to define your rectangle coordinate through a data.frame :

shade = data.frame(x1=c(1918,1930), x2=c(1921,1932), y1=c(-3,-3), y2=c(4,4))

#    x1   x2 y1 y2
#1 1918 1921 -3  4
#2 1930 1932 -3  4

Then you give ggplot your data and the shade data.frame :

ggplot() + 
  geom_line(aes(x=month, y=big), color='red',data=a_series_df)+
  geom_rect(data=shade, 
            mapping=aes(xmin=x1, xmax=x2, ymin=y1, ymax=y2), color='grey', alpha=0.2)

Answer 4

您可以使用ggts包中的geom_cycle（）轻松完成此操作。

Answer 5

library(xts)
library(zoo)
library(ggts)

Creating an xts object

data<-as.xts(x=runif(228,20,40),order.by = seq(as.Date("2000/01/01"), by = "month", length.out = 228))

Creating data frame of dates for which you want to crate shades

date<-data.frame(as.Date("2008-01-01"),as.Date("2009-01-01"))

Now create plot with shaded area

plot_data<-ggts(data)+geom_cycle(date)