I ask this without find something to try, because I didn\'t find something same. I apologize for this.
From this bar plot:
df <- structure(list(ye
It might be better to plot the counts within each bar. For example:
library(ggplot2)
theme_set(theme_classic())
ggplot(data=md, aes(x=year, y=value, fill=variable)) +
geom_bar(stat="identity") +
ggtitle("Score Distribution") +
geom_text(aes(label=value), position=position_stack(vjust=0.5), colour="white") +
labs(fill="")
If you still want a table beneath the plot, I don't know of a simple way, but you can create a separate tableGrob
for the table, extract the legend as a separate grob (graphical object), then lay out each part separately. Laying out the various parts requires some tweaking by hand, although someone who understands grid graphics better than I do might be able to automate that. Here's an example:
library(grid)
library(gridExtra)
# Function to extract legend
# https://stackoverflow.com/a/13650878/496488
g_legend <- function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
return(legend)}
p = ggplot(data=md, aes(x=year, y=value, fill=variable) ) +
geom_bar(stat="identity")+
#theme(axis.text.x=element_text(angle=90, vjust=0.5, hjust=0.5))+
ggtitle("Score Distribution") +
labs(fill="")
# Extract the legend as a separate grob
leg = g_legend(p)
# Create a table grob
tab = t(df)
tab = tableGrob(tab, rows=NULL)
tab$widths <- unit(rep(1/ncol(tab), ncol(tab)), "npc")
# Lay out plot, legend, and table grob
grid.arrange(arrangeGrob(nullGrob(),
p + guides(fill=FALSE) +
theme(axis.text.x=element_blank(),
axis.title.x=element_blank(),
axis.ticks.x=element_blank()),
widths=c(1,8)),
arrangeGrob(arrangeGrob(nullGrob(),leg,heights=c(1,10)),
tab, nullGrob(), widths=c(6,20,1)),
heights=c(4,1))