I would like to generate a figure that has a combination of base and ggplot graphics. The following code shows my figure using the base plotting functions of R:
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)")
Which generates
![enter image description here](https://i.stack.imgur.com/l9HXq.png)
Most of these panels look sufficient for me to include in my report. However, the plot showing the autocorrelation needs to be improved. This looks much better by using ggplot:
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()
![enter image description here](https://i.stack.imgur.com/IEuQH.png)
However, seeing as ggplot is not a base graphic, we cannot combine ggplot with layout or par(mfrow). How could I replace the autocorrelation plot generated from the base graphics with the one generated by ggplot? I know I can use grid.arrange if all of my figures were made with ggplot but how do I do this if only one of the plots are generated in ggplot?
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