Wsrtjtyk

how can I change the background color, when using plot_grid? I have the following graphic, but I want everything in the background to be grey and not have the difference in heights. How can I change this?

Here is my code for the graphics and the data:

Data

   set.seed(123456)

    Test_1 <- round(rnorm(20,mean=35,sd=3),0)/100

    Test_2 <- round(rnorm(20,mean=70,sd=3),0)/100

    ei.data <- as.data.frame(cbind(Test_1,Test_2))



intercept <- as.data.frame(matrix(0,20,1))

slope <- as.data.frame(matrix(0,20,1))

data <- cbind(intercept,slope)

colnames(data) <- c("intercept","slope")

for (i in 1:nrow(ei.data)){

  data[i,1] <- (ei.data[i,2]/(1-ei.data[i,1]))

  data[i,2] <- ((ei.data[i,1]/(1-ei.data[i,1]))*(-1))

}

Left Plot

p <- ggplot(data, aes(Test_1,Test_2))+

  geom_point(shape=1,size=1)+

  theme_bw()+

  xlab(TeX("$n_{1,i}$"))+

  ylab(TeX("$t_{1,i}$"))+

  scale_y_continuous(limits=c(0,1),breaks=seq(0,1,0.2))+

  scale_x_continuous(limits = c(0,1),breaks=seq(0,1,0.2))+

  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),

        panel.background = element_rect(fill = "grey92", colour = NA),

        plot.background = element_rect(fill = "grey92", colour = NA),

        axis.line = element_line(colour = "black"))+

  theme(aspect.ratio=1)



p

Right Plot

df <- data.frame()



q <- ggplot(df)+

  geom_point()+

  theme_bw()+

  scale_y_continuous(limits = c(0, 1),breaks=seq(0,1,0.2))+

  scale_x_continuous(limits = c(0, 1),breaks=seq(0,1,0.2))+

  xlab(TeX("$\beta_i^{1,1}"))+

  ylab(TeX("$\beta_i^{2,1}"))+

  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),

        panel.background = element_rect(fill = "grey92", colour = NA),

        plot.background = element_rect(fill = "grey92", colour = NA), axis.line = element_line(colour = "black"))+

  theme(aspect.ratio=1)+

  geom_abline(slope =data[1,2] , intercept =data[1,1], size = 0.3)+

  geom_abline(slope =data[2,2] , intercept =data[2,1], size = 0.3)+

  geom_abline(slope =data[3,2] , intercept =data[3,1], size = 0.3)+

  geom_abline(slope =data[4,2] , intercept =data[4,1], size = 0.3)+

  geom_abline(slope =data[5,2] , intercept =data[5,1], size = 0.3)+

  geom_abline(slope =data[6,2] , intercept =data[6,1], size = 0.3)+

  geom_abline(slope =data[7,2] , intercept =data[7,1], size = 0.3)+

  geom_abline(slope =data[8,2] , intercept =data[8,1], size = 0.3)+

  geom_abline(slope =data[9,2] , intercept =data[9,1], size = 0.3)+

  geom_abline(slope =data[10,2] , intercept =data[10,1], size = 0.3)+

  geom_abline(slope =data[11,2] , intercept =data[11,1], size = 0.3)+

  geom_abline(slope =data[12,2] , intercept =data[12,1], size = 0.3)+

  geom_abline(slope =data[13,2] , intercept =data[13,1], size = 0.3)+

  geom_abline(slope =data[14,2] , intercept =data[14,1], size = 0.3)+

  geom_abline(slope =data[15,2] , intercept =data[15,1], size = 0.3)+

  geom_abline(slope =data[16,2] , intercept =data[16,1], size = 0.3)+

  geom_abline(slope =data[17,2] , intercept =data[17,1], size = 0.3)+

  geom_abline(slope =data[18,2] , intercept =data[18,1], size = 0.3)+

  geom_abline(slope =data[19,2] , intercept =data[19,1], size = 0.3)+

  geom_abline(slope =data[20,2] , intercept =data[20,1], size = 0.3)

q

Arranging

plot_grid(p,q,ncol=2, align = "v")

Since you customize the plots the same way, let's make it easier to tweak those customizations (in the event you change your mind):

theme_plt <- function() {

  theme_bw() + 

    theme(

      panel.grid.major = element_blank(), 

      panel.grid.minor = element_blank(),

      panel.background = element_rect(fill = "grey92", colour = NA),

      plot.background = element_rect(fill = "grey92", colour = NA),

      axis.line = element_line(colour = "black")

    ) +

    theme(aspect.ratio = 1)

}



common_scales <- function() {

  list(

    scale_y_continuous(limits = c(0, 1), breaks = seq(0, 1, 0.2)),

    scale_x_continuous(limits = c(0, 1), breaks = seq(0, 1, 0.2))

  )

}

Your left plot call uses the wrong parameter to data which is fixed here:

ggplot(ei.data, aes(Test_1, Test_2)) +

  geom_point(shape = 1, size = 1) +

  common_scales() +

  labs(

    x = TeX("$n_{1,i}$"), y = TeX("$t_{1,i}$")

  ) +

  theme_plt() -> gg1

You can simplify your abline repetitiveness via:

ggplot() +

  geom_point() +

  geom_abline(

    data = data, aes(slope = slope, intercept = intercept), size = 0.3

  ) +

  common_scales() +

  labs(

    x = TeX("$\beta_i^{1,1}"), y = TeX("$\beta_i^{2,1}")

  ) +

  theme_plt() -> gg2

Now, the reason for the height diffs is due to the right plot having both sub-, and super-duper scripts. So, we can ensure all the bits are the same height (since these plots have the same plot area elements in common) via:

gt1 <- ggplot_gtable(ggplot_build(gg1))

gt2 <- ggplot_gtable(ggplot_build(gg2))



gt1$heights <- gt2$heights

Let's take a look:

cowplot::plot_grid(gt1, gt2, ncol = 2, align = "v")

You can't tell from ^^ but there's a horizontal white margin/border above & below the graphs due to the aspect.ratio you've set. RStudio is never going to show that in any other color but white (mebbe, possibly "black" in "dark" mode in 1.2 eventually).

Other plot devices have a bg color which you can specify. We can use the magick device and put in proper height/width to ensure no white borders/margin:

image_graph(900, 446, bg = "grey92")

cowplot::plot_grid(gt1, gt2, ncol = 2, align = "v")

dev.off()

^^ will still look like it has a top/bottom border in RStudio if the plot pane/window is not sized to the aspect ratio but the actual plot "image" will not have any.

With png() you can correctly save the image by changing bg:

png(bg = "grey92") # set the same bg

cowplot::plot_grid(p,q,ncol=2, align = "v")

#gridExtra::grid.arrange(p,q,ncol=2)

dev.off()

UPDATE:

With this you can remove even the white border in the graphics (no need to save the png):

library(gridExtra)

library(grid)

grid.draw(grobTree(rectGrob(gp=gpar(fill="grey92", lwd=0)), # this changes the bg in the graphics (R viewer)

                   arrangeGrob(p,q,ncol=2)))

I think the various solutions provided are overly complicated. Because cowplot::plot_grid() returns a new ggplot2 object, you can simply style that using ggplot2's themeing mechanisms.

First a reproducible example of the problem code, as simplified here:

library(ggplot2)

library(latex2exp)



set.seed(123456)

Test_1 <- round(rnorm(20,mean=35,sd=3),0)/100

Test_2 <- round(rnorm(20,mean=70,sd=3),0)/100

ei.data <- as.data.frame(cbind(Test_1,Test_2))



intercept <- as.data.frame(matrix(0,20,1))

slope <- as.data.frame(matrix(0,20,1))

data <- cbind(intercept,slope)

colnames(data) <- c("intercept","slope")

for (i in 1:nrow(ei.data)){

  data[i,1] <- (ei.data[i,2]/(1-ei.data[i,1]))

  data[i,2] <- ((ei.data[i,1]/(1-ei.data[i,1]))*(-1))

}



theme_plt <- function() {

  theme_bw() + 

    theme(

      panel.grid.major = element_blank(), 

      panel.grid.minor = element_blank(),

      panel.background = element_rect(fill = "grey92", colour = NA),

      plot.background = element_rect(fill = "grey92", colour = NA),

      axis.line = element_line(colour = "black")

    ) +

    theme(aspect.ratio = 1)

}



common_scales <- function() {

  list(

    scale_y_continuous(limits = c(0, 1), breaks = seq(0, 1, 0.2)),

    scale_x_continuous(limits = c(0, 1), breaks = seq(0, 1, 0.2))

  )

}



ggplot(ei.data, aes(Test_1, Test_2)) +

  geom_point(shape = 1, size = 1) +

  common_scales() +

  labs(

    x = TeX("$n_{1,i}$"), y = TeX("$t_{1,i}$")

  ) +

  theme_plt() -> gg1



ggplot() +

  geom_point() +

  geom_abline(

    data = data, aes(slope = slope, intercept = intercept), size = 0.3

  ) +

  common_scales() +

  labs(

    x = TeX("$\beta_i^{1,1}"), y = TeX("$\beta_i^{2,1}")

  ) +

  theme_plt() -> gg2



cowplot::plot_grid(gg1, gg2, align = "v")

As we can see, the two figures have slightly different dimensions, and hence the background doesn't match.

The solution is to simply add a theme statement after the plot_grid() call:

cowplot::plot_grid(gg1, gg2, align = "v") +

  theme(plot.background = element_rect(fill = "grey92", colour = NA))

This has created a uniform background of the chosen color. You would of course have to adjust the output dimensions of the plot to avoid the large amount of grey color above and below the two figures.

To highlight more clearly what's happening, let's style the combined plot with a different color choice:

cowplot::plot_grid(gg1, gg2, align = "v") +

  theme(plot.background = element_rect(fill = "cornsilk", colour = "blue"))

We can see that the theme statement is applied to the canvas onto which the two plots are pasted by plot_grid().

Finally, we can ask why the problem exists in the first place, and the answer is because the plots are not aligned. To make them align perfectly, we need to align both vertically and horizontally, and when we do so things work as expected:

cowplot::plot_grid(gg1, gg2, align = "vh")

Normally, align = "h" would be sufficient (align = "v" is incorrect when the plots are placed in the same row), but because the theme has a fixed aspect ratio we need to align both horizontally and vertically, hence align = "vh".