How to use patchwork package(Visualization) in R

 library(ggplot2)

library(patchwork)

p1 <- ggplot(mtcars) + 

  geom_point(aes(mpg, disp)) + 

  ggtitle('Plot 1')

p1

p2 <- ggplot(mtcars) + 

  geom_boxplot(aes(gear, disp, group = gear)) + 

  ggtitle('Plot 2')

p2

p3 <- ggplot(mtcars) + 

  geom_point(aes(hp, wt, colour = mpg)) + 

  ggtitle('Plot 3')

p3

p4 <- ggplot(mtcars) + 

  geom_bar(aes(gear)) + 

  facet_wrap(~cyl) + 

  ggtitle('Plot 4')

p4

p1 + p2

p1 + p2 + labs(subtitle = 'This will appear in the last plot')

p1 + p2 + p3 + p4

p1 + p2 + p3 + p4 + plot_layout(nrow = 3, byrow = FALSE)

p1 / p2

(p1 / p2) | p3

(p1 | (p2 / p3)) + 

  plot_annotation(title = 'The surprising story about mtcars')

p1 + p2 + p3 + 

  plot_annotation(tag_levels = 'I')

library(devtools)

library(ggplot2)

library(patchwork)

d1 <- runif(500)

d2 <- rep(c("Treatment","Control"),each=250)

d3 <- rbeta(500,shape1=100,shape2=3)

d4 <- d3 + rnorm(500,mean=0,sd=0.1)

plotData <- data.frame(d1,d2,d3,d4)

str(plotData)

p1 <- ggplot(data=plotData) + geom_point(aes(x=d3, y=d4))

p1

p2 <- ggplot(data=plotData) + geom_boxplot(aes(x=d2,y=d1,fill=d2))+

  theme(legend.position="none")

p2

p3 <- ggplot(data=plotData) +

  geom_histogram(aes(x=d1, color=I("black"),fill=I("orchid")))

p3

p4 <- ggplot(data=plotData) +

  geom_histogram(aes(x=d3, color=I("black"),fill=I("goldenrod")))

p4

p1 + p2

p1 + p2 + p3 + plot_layout(ncol=1)

p1 + p2 + plot_layout(ncol=1,heights=c(2,1))

p1 + p2 + plot_layout(ncol=2,widths=c(2,1))

p1 + plot_spacer() + p2


p1 + {

  p2 + {

    p3 +

      p4 +

      plot_layout(ncol=1)

  }

} +

  plot_layout(ncol=1)

}

p1 - p2 + p3 + plot_layout(ncol=1)

(p1 | p2 | p3)/p4

(p1 | p2)/(p3 | p4)

(p1 / p2 /p3) | p4

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