在R figure窗口中合并base和ggplot图形

Question

我想生成一个图形，它有一个基础和ggplot图形的组合。下面的代码使用R的基本绘图函数显示了我的图形：

t <- c(1:(24*14)) 
P <- 24 
A <- 10 
y <- A*sin(2*pi*t/P)+20

par(mfrow=c(2,2))
plot(y,type = "l",xlab = "Time (hours)",ylab = "Amplitude",main = "Time series")
acf(y,main = "Autocorrelation",xlab = "Lag (hours)", ylab = "ACF")
spectrum(y,method = "ar",main = "Spectral density function", 
         xlab = "Frequency (cycles per hour)",ylab = "Spectrum")
require(biwavelet)
t1 <- cbind(t, y)
wt.t1=wt(t1)
plot(wt.t1, plot.cb=FALSE, plot.phase=FALSE,main = "Continuous wavelet transform",
     ylab = "Period (hours)",xlab = "Time (hours)")

它会生成

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这些面板中的大多数看起来足以让我在我的报告中包括在内。然而，显示自相关性的曲线图需要改进。使用ggplot看起来要好得多：

require(ggplot2)
acz <- acf(y, plot=F)
acd <- data.frame(lag=acz$lag, acf=acz$acf)
ggplot(acd, aes(lag, acf)) + geom_area(fill="grey") +
  geom_hline(yintercept=c(0.05, -0.05), linetype="dashed") +
  theme_bw()

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但是，由于ggplot不是基本图形，我们不能将ggplot与布局或par(mfrow)结合使用。如何将基础图形生成的自相关图替换为ggplot生成的自相关图？我知道如果我所有的图形都是用ggplot生成的，我可以使用grid.arrange，但是如果只有一个图形是用ggplot生成的，我该怎么做呢？

Answer 1

使用gridBase包，只需添加2行即可。我认为如果你想用网格做有趣的绘图，你只需要理解和掌握viewports即可。它实际上是grid包的基本对象。

vps <- baseViewports()
pushViewport(vps$figure) ##   I am in the space of the autocorrelation plot

函数的作用是:返回一个包含三个栅格视口的列表。我在这里使用figure Viewport与current plot的图形区域对应的视口。

下面是最终的解决方案：

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library(gridBase)
library(grid)

par(mfrow=c(2, 2))
plot(y,type = "l",xlab = "Time (hours)",ylab = "Amplitude",main = "Time series")
plot(wt.t1, plot.cb=FALSE, plot.phase=FALSE,main = "Continuous wavelet transform",
     ylab = "Period (hours)",xlab = "Time (hours)")
spectrum(y,method = "ar",main = "Spectral density function", 
         xlab = "Frequency (cycles per hour)",ylab = "Spectrum")
## the last one is the current plot
plot.new()              ## suggested by @Josh
vps <- baseViewports()
pushViewport(vps$figure) ##   I am in the space of the autocorrelation plot
vp1 <-plotViewport(c(1.8,1,0,1)) ## create new vp with margins, you play with this values 
require(ggplot2)
acz <- acf(y, plot=F)
acd <- data.frame(lag=acz$lag, acf=acz$acf)
p <- ggplot(acd, aes(lag, acf)) + geom_area(fill="grey") +
  geom_hline(yintercept=c(0.05, -0.05), linetype="dashed") +
  theme_bw()+labs(title= "Autocorrelation\n")+
  ## some setting in the title to get something near to the other plots
  theme(plot.title = element_text(size = rel(1.4),face ='bold'))
print(p,vp = vp1)        ## suggested by @bpatiste

Answer 2

我是gridGraphics包的粉丝。由于某些原因，我在使用gridBase时遇到了麻烦。

library(ggplot2)
library(gridGraphics)
data.frame(x = 2:10, y = 12:20) -> dat
plot(dat$x, dat$y)
grid.echo()
grid.grab() -> mapgrob
ggplot(data = dat) + geom_point(aes(x = x, y = y)) 
pushViewport(viewport(x = .8, y = .4, height = .2, width = .2))    
grid.draw(mapgrob)

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