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
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()
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?
polygon
with the output ofacf()
to construct a base-graphics plot that resembles theggplot
one. – Ben BolkergridBase
package ... – Ben BolkergridGraphics
package, which "[Redraws] base graphics as grid graphics". – maj