Arrange ggplot plots (chunks with the same width) using gtable to create a 2x2 layout

Question

I am trying to use grobs and gtable to arrange 4 (ggplot2) graphs in a 2x2 grid. I do not know how to set the width, as well as non-1xn or nx1.

Using this code:

data(iris)
a <- ggplot(iris, aes(x=Species, y=Petal.Width)) + geom_boxplot(color="black") + ylab(expression(Foo~Bar~(g~cm^{-3})))
b <- ggplot(iris, aes(x=Species, y=Petal.Length*100)) + geom_boxplot(color="black") + ylab("foobar (mm)")
c <- ggplot(iris, aes(x=Species, y=Sepal.Width)) + geom_boxplot(color="black") + ylab("foobar (%)")
d <- ggplot(iris, aes(x=Species, y=log10(Sepal.Length))) + geom_boxplot(color="black") + ylab("foobar (cm)")

plots <- list(a,b,c,d)
grobs = lapply(plots, ggplotGrob)
g = do.call(rbind, c(grobs, size="first"))

g$widths = do.call(unit.pmax, lapply(grobs, "[[", "widths"))
grid.newpage()
grid.draw(g)

I can create the following 1x4 scheme.

If I use grid.arrange for two columns, on 4 graphs the graphs have different widths.

How can I link graphs in gtable for 4x4 layout?

# I thought maybe I could cbind, then rbind, but this does not work
plots1 <- list(a,b)
plots2 <- list(c,d)
grobs1 = lapply(plots1, ggplotGrob)
grobs2 = lapply(plots2, ggplotGrob)

g1 = do.call(cbind, c(grobs1, size="first"))
g2 = do.call(cbind, c(grobs2, size="first"))
# g3 = do.call(rbind, c(g1,g2, size="first")) #this does not work

Answer 1

, .
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g3 = do.call(rbind, c(list(g1,g2), size="first")) #combine g1 and g2 into a list

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library(ggplot2); library(gridExtra); library(grid)

# Tweak the margins to use up empty space.  Margins: Top, Right, Bottom, Left
a1 <- a + theme(axis.title.x = element_blank(), 
                axis.text.x = element_blank(), 
                axis.ticks.x= element_blank(), 
                plot.margin= unit(c(1, 1, -0.5, 0.5), "lines") ) 
b1 <- b + theme(axis.title.x = element_blank(), 
                axis.text.x = element_blank(), 
                axis.ticks.x= element_blank(), 
                plot.margin= unit(c(1, 1, -0.5, 0.5), "lines") ) 
c1 <- c + theme(plot.margin= unit(c(0, 1, 0.5, 0.5), "lines") )  
d1 <- d + theme(plot.margin= unit(c(0, 1, 0.5, 0.5), "lines") )  

grobz <- lapply(list(a1, b1, c1, d1), ggplotGrob)
grobz.plot <- arrangeGrob( grobs = list(rbind(grobz[[1]], grobz[[3]], size = "last"),
                                        rbind(grobz[[2]], grobz[[4]], size = "last")),
                           ncol = 2)
grid.draw(grobz.plot)

StackOverflow :

• rbind gtable (Baptiste) []
• gtable (Baptiste) []
• []

Answer 2

, gtable *

library(ggplot2)
pl <- list(ggplot() + xlab("x"), 
           ggplot() + ylab("y"), 
           ggplot() + ylab("y"), 
           ggplot() + ggtitle("title") + xlab("x"))

library(grid)
library(gridExtra)

gl <- lapply(pl, ggplotGrob)
# gt <- cbind(rbind(gl[[1]], gl[[3]]),
#            rbind(gl[[2]], gl[[4]]))

#  alternative to remove x-axes of top row of plots
gt <- cbind(rbind(gl[[1]][1:3,], gl[[3]]),
            rbind(gl[[2]][1:3,], gl[[4]]))

grid.newpage()
grid.draw(gt)

*: , gtable pmax , dev gridExtra.

Answer 3

will it work for you

library(cowplot)
library(ggplot2)
data(iris)
a <- ggplot(iris, aes(x=Species, y=Petal.Width)) + geom_boxplot(color="black") + ylab(expression(Foo~Bar~(g~cm^{-3}))) + theme_grey()
b <- ggplot(iris, aes(x=Species, y=Petal.Length*100)) + geom_boxplot(color="black") + ylab("foobar (mm)") + theme_grey()
c <- ggplot(iris, aes(x=Species, y=Sepal.Width)) + geom_boxplot(color="black") + ylab("foobar (%)") + theme_grey()
d <- ggplot(iris, aes(x=Species, y=log10(Sepal.Length))) + geom_boxplot(color="black") + ylab("foobar (cm)") + theme_grey()
plot_grid(a,b, c, d, ncol=2,align="v")