par(mfrow=c(n,m)) Basic mapping

par(mfrowc(n,m)) yes R Functions in basic drawing , Only basic mapping functions plot Objects that work

gridExtra::grid.arrange() in the light of ggplot object

grid.arrange() Function can only be used on ggplot Arrange objects

usage

#  All parameters 
grid.arrange(..., grobs = list(...), layout_matrix, vp = NULL,
  name = "arrange", as.table = TRUE, respect = FALSE, clip = "off",
  nrow = NULL, ncol = NULL, widths = NULL, heights = NULL, top = NULL,
  bottom = NULL, left = NULL, right = NULL, padding = unit(0.5, "line"),newpage=TRUE)
  
# Common formats 
grid.arrange(p1,p2,p3,...,ncol=n,nrow=m)

example

library(gridExtra)
library(ggplot2)
p1=qplot(1:10, rnorm(10), main=paste("plot", 1))
p2=qplot(1:10, rnorm(10), main=paste("plot", 2))
p3=qplot(1:10, rnorm(10), main=paste("plot", 3))
grid.arrange(p1,p2,p3,nrow=2,ncol=2)

ggpubr::ggarrange() Treatable ggplot Object and foundation plot object

usage

ggarrange(
  ...,
  plotlist = NULL,
  ncol = NULL,
  nrow = NULL,
  labels = NULL,
  label.x = 0,
  label.y = 1,
  hjust = -0.5,
  vjust = 1.5,
  font.label = list(size = 14, color = "black", face = "bold", family = NULL),
  align = c("none", "h", "v", "hv"),
  widths = 1,
  heights = 1,
  legend = NULL,
  common.legend = FALSE,
  legend.grob = NULL
)

example

library(ggplot2)
library(ggpubr)
data("ToothGrowth")
df <- ToothGrowth
df$dose <- as.factor(df$dose)

bxp <- ggboxplot(df, x = "dose", y = "len",
                 color = "dose", palette = "jco")
dp <- ggdotplot(df, x = "dose", y = "len",
                color = "dose", palette = "jco")
dens <- ggdensity(df, x = "len", fill = "dose", palette = "jco")


plt<- ~{
    
    par(
      mar = c(3, 3, 1, 1),
      mgp = c(2, 1, 0)
    )
    plot(sqrt)
  }

# Arrange
# ::::::::::::::::::::::::::::::::::::::::::::::::::
ggarrange(bxp, dp,dens,plt, ncol = 2, nrow = 2)

cowplot::plot_grid() Can be used for different objects

usage

plot_grid(
  ...,
  plotlist = NULL,
  align = c("none", "h", "v", "hv"),
  axis = c("none", "l", "r", "t", "b", "lr", "tb", "tblr"),
  nrow = NULL,
  ncol = NULL,
  rel_widths = 1,
  rel_heights = 1,
  labels = NULL,
  label_size = 14,
  label_fontfamily = NULL,
  label_fontface = "bold",
  label_colour = NULL,
  label_x = 0,
  label_y = 1,
  hjust = -0.5,
  vjust = 1.5,
  scale = 1,
  greedy = TRUE,
  byrow = TRUE,
  cols = NULL,
  rows = NULL
)

example

library(ggplot2)
library(cowplot)
df <- data.frame(
  x = 1:10, y1 = 1:10, y2 = (1:10)^2, y3 = (1:10)^3, y4 = (1:10)^4
)

p1 <- ggplot(df, aes(x, y1)) + geom_point()
p2 <- ggplot(df, aes(x, y2)) + geom_point()




p6 <- ~{
    
  par(
    mar = c(3, 3, 1, 1),
    mgp = c(2, 1, 0)
  )
  plot(sqrt)
}

p7 <- function() {
    
  par(
    mar = c(2, 2, 1, 1),
    mgp = c(2, 1, 0)
  )
  image(volcano)
}



# ggarrange(p1,p2,p3,p4)
# making rows and columns of different widths/heights
plot_grid(
  p1, p2,p6,p7, nrow = 2,ncol=2,rel_heights = c(2,1), rel_widths = c(1, 2),labels = "AUTO",scale = c(1, .5, .9, .7)
)



#' # missing plots in some grid locations, auto-generate lower-case labels
plot_grid(
  p1, NULL, NULL, p6, p7, NULL,
  ncol = 2,
  labels = "auto",
  label_size = 12,
  align = "v"
)

customLayout::lay_new() More powerful and flexible

To be continued …